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CN112565764A - Point cloud geometric information interframe coding and decoding method - Google Patents

Point cloud geometric information interframe coding and decoding method
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CN112565764A
CN112565764ACN202011396370.3ACN202011396370ACN112565764ACN 112565764 ACN112565764 ACN 112565764ACN 202011396370 ACN202011396370 ACN 202011396370ACN 112565764 ACN112565764 ACN 112565764A
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point cloud
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occupation
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张伟
杨付正
聂佳明
陈天
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Xidian University
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Translated fromChinese

本发明实施例提供的一种点云几何信息帧间编码及解码方法,获取当前帧点云前的帧点云作为参考帧点云;对当前帧点云及参考帧点云分别进行八叉树划分然后对划分后的节点进行划分,迭代划分到叶子节点结束得到当前帧点云的第一八叉树结构及参考帧点云的第二八叉树结构;获取每个参考节点的占位情况,当与编码节点对应的参考节点的占位情况为被占据时,获取参考节点的第一邻居节点的占位情况;基于占位情况确定待编码节点占位码的上下文模型并按该上下文模型进行熵编码,获得二进制码流。本发明在帧间预测为占据时用帧间的上下文模型进行熵编码,否则用帧内的上下文模型进行熵编码无需运动补偿,因此可以降低帧间编解码复杂度并提高几何熵编码性能。

Figure 202011396370

An embodiment of the present invention provides a method for inter-frame encoding and decoding of point cloud geometric information. The frame point cloud before the current frame point cloud is obtained as the reference frame point cloud; the current frame point cloud and the reference frame point cloud are respectively octree Divide and then divide the divided nodes, and iteratively divide to the end of the leaf node to obtain the first octree structure of the point cloud of the current frame and the second octree structure of the point cloud of the reference frame; obtain the occupancy of each reference node , when the occupancy situation of the reference node corresponding to the coding node is occupied, obtain the occupancy situation of the first neighbor node of the reference node; determine the context model of the occupancy code of the node to be encoded based on the occupancy situation Entropy encoding is performed to obtain a binary code stream. The present invention uses the inter-frame context model to perform entropy coding when the inter-frame is predicted to be occupied, otherwise, the intra-frame context model is used for entropy coding without motion compensation, so the complexity of inter-frame coding and decoding can be reduced and the performance of geometric entropy coding can be improved.

Figure 202011396370

Description

Point cloud geometric information interframe coding and decoding method
Technical Field
The invention belongs to the technical field of coding and decoding, and particularly relates to a point cloud geometric information interframe coding and decoding method.
Background
With the continuous development of point cloud technology, the compression and encoding of point cloud data becomes an important research problem. At present, the Standard working Group (AVS) of the domestic digital Audio and Video coding Standard (Standard) of China and the Moving Picture Experts Group (MPEG) in the International organization for standardization both make the Standard of point cloud coding. At present, in the process of point cloud encoding of AVS, as shown in fig. 1, coordinate transformation is first performed on the geometric information, so that all the point clouds are contained in a bounding box. And then, quantizing, wherein the step of quantizing mainly plays a role of scaling, as the geometric information of a part of points is the same due to quantization rounding, whether to remove the repeated points is determined according to parameters, and the process of quantizing and removing the repeated points is also called voxelization. The bounding box is called a root node, the bounding box is divided into eight equal parts by an octree division of the root node, namely the bounding box is divided into 8 subcubes, each subcube is called a child node of the root node, the eight child nodes are respectively represented by 1 bit whether the eight child nodes are occupied or not, namely whether points in the point cloud are contained or not, 0 is represented by 0, 1 is represented by child nodes which are occupied, the bit is called a occupied bit code, and the binary code stream is generated through entropy coding. And continuing to perform octree division on the non-empty (including the points in the point cloud) subcubes until the division is stopped when the leaf nodes obtained by division are unit cubes of 1x1x1, and encoding the points in the leaf nodes to generate a binary code stream by adopting a traversal sequence with a first breadth in the whole process. And reconstructing the geometric information after the geometric coding is finished. The encoding of the attribute information is mainly performed for color information. First, color information is converted from an RGB color space to a YUV color space. And then recoloring the geometrically reconstructed point cloud by using the original point cloud so as to enable the uncoded attribute information to correspond to the reconstructed geometrical information. In color information coding, after dot clouds are sequenced by Morton codes, the nearest neighbor of a point to be predicted is searched by using a geometric spatial relationship, interpolation prediction is carried out on the point to be predicted by using a reconstruction attribute value of the found neighbor to obtain a prediction attribute value, then difference is carried out on a real attribute value and the prediction attribute value to obtain a prediction residual error, and finally quantization and coding are carried out on the prediction residual error to generate a binary code stream. Decoding process as shown in fig. 2, the decoding process is reciprocal to the encoding process.
In the AVS point cloud coding platform at the present stage, no inter-frame technology exists, and only the intra-frame technology exists, so that redundant information can be removed only by utilizing spatial correlation, and the redundant information cannot be removed by utilizing temporal correlation.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a point cloud geometric information interframe coding and decoding method. The technical problem to be solved by the invention is realized by the following technical scheme:
in a first aspect, the invention provides a point cloud geometric information interframe coding method, which includes:
acquiring a frame point cloud before a current frame point cloud as a reference frame point cloud of the current frame point cloud;
performing voxelization processing on the current frame point cloud to obtain the voxelized current frame point cloud;
respectively carrying out octree division on the current frame point cloud and the reference frame point cloud, and continuing octree division on sub-nodes obtained by division until leaf nodes are divided to obtain a first octree structure of the current frame point cloud and a second octree structure of the reference frame point cloud;
wherein the first octree structure comprises a plurality of nodes, each node corresponding to a reference node in the second octree structure;
aiming at each node to be coded in the first octree structure, acquiring the occupation situation of a corresponding reference node in the second octree structure;
for each node to be coded of the first octree structure, when the occupation situation of a reference node corresponding to the node to be coded is occupied, acquiring the occupation situation of a first neighbor node adjacent to the reference node;
determining a context model of the bit occupying code of the node to be coded based on the bit occupying situation of the first neighbor node;
and entropy coding the placeholder code of the node to be coded after the context model is determined to obtain a binary code stream.
Optionally, for each node to be encoded of the first octree structure, when the occupancy of the reference node corresponding to the node to be encoded is occupied, the step of obtaining the occupancy of the first neighbor node adjacent to the reference node includes:
for each node to be coded of the first octree structure, when the occupancy condition of a reference node corresponding to the node to be coded is occupied, the occupancy condition of a first neighbor node coplanar with the reference node is obtained.
Optionally, before the step of acquiring, for each node to be encoded of the first octree structure, a first neighbor node adjacent to a reference node when an occupancy of the reference node corresponding to the node to be encoded is occupied, the point cloud geometric information interframe coding method further includes:
judging whether a reference node corresponding to a node to be coded is occupied or not aiming at each node to be coded of the first octree structure, if not, acquiring the occupation condition of a second neighbor node which is any one or combination of coplanarity, collinearity and coplanarity with the node to be coded and coplanarity with a father node of the node to be coded;
and determining a context model of the bit occupying code of the node to be coded based on the bit occupying situation of the second neighbor node.
Optionally, before the step of determining the context model of the node-to-be-encoded bit-occupying code based on the bit-occupying situation of the first neighboring node, the point cloud geometric information interframe coding method further includes:
acquiring the occupation situation of a second neighbor node which is coplanar, collinear or concurrent with the node to be coded and is coplanar or combined with a father node of the node to be coded;
the step of determining the context model of the node occupation code to be coded based on the occupation situation of the first neighbor node comprises:
and determining a context model of the occupation code of the node to be coded based on the occupation situations of the first neighbor node and the second neighbor node.
Optionally, before the step of determining the context model of the node-to-be-encoded bit-occupying code based on the bit-occupying situation of the first neighboring node, the point cloud geometric information interframe coding method further includes:
acquiring the occupation situation of a third neighbor node which is coplanar, collinear and concurrent with the reference node corresponding to the node to be coded;
forming a set of the occupation conditions of the third neighbor nodes;
optionally selecting a first preset number of elements in the set as target elements;
the step of determining the context model of the occupation code of the node to be coded based on the occupation situation of the first neighbor node comprises the following steps:
and determining a context model of the node occupation code to be coded based on the target element.
Optionally, after the step of optionally selecting a preset number of elements in the set as target elements, the point cloud geometric information interframe coding method further includes:
optionally selecting a second preset number of elements from the target elements, and taking the second preset number of elements as elements for determining the same context model;
wherein the first preset number is greater than the second preset number;
the step of determining the context model of the node occupation code to be coded based on the target element comprises the following steps:
determining a context model of the node-to-be-encoded bit-occupying code based on a second number of target elements.
Optionally, after the step of obtaining the occupancy of the first neighboring node coplanar with the reference node, the point cloud geometric information interframe coding method further includes:
acquiring the position information of the first neighbor node;
the step of determining the context model of the node occupation code to be coded based on the occupation situation of the first neighbor node comprises the following steps:
and determining a context model of the occupation code of the node to be coded based on the position information and the occupation situation of the first neighbor node.
In a second aspect, the invention provides a point cloud geometric information interframe decoding method, which includes:
receiving a binary code stream;
the binary code stream comprises a node occupation code to be decoded;
for each node to be decoded, when the occupancy of the reference node corresponding to the node to be decoded is occupied, acquiring the occupancy of a first neighbor node adjacent to the reference node;
determining a context model of the occupation code of the node to be decoded based on the occupation situation of the first neighbor node;
and entropy decoding the placeholder of the node to be decoded after the context model is determined.
Optionally, for each node to be decoded of the first octree structure, when the occupancy of the reference node corresponding to the node to be decoded is occupied, the step of obtaining the occupancy of the first neighbor node adjacent to the reference node includes:
for each node to be decoded of the first octree structure, when the occupancy of the reference node corresponding to the node to be decoded is occupied, the occupancy of a first neighbor node coplanar with the reference node is acquired.
Optionally, before the step of acquiring, for each node to be decoded of the first octree structure, a first neighbor node adjacent to a reference node when an occupancy of the reference node corresponding to the node to be decoded is occupied, the point cloud geometric information interframe decoding method further includes:
judging whether a reference node corresponding to a node to be decoded is occupied, if not, acquiring the occupation condition of a second neighbor node which is any one or combination of coplanarity, collinearity and coplanarity with the node to be decoded and coplanarity with a father node of the node to be decoded;
and determining a context model of the occupation code of the node to be decoded based on the occupation situation of the second neighbor node.
The embodiment of the invention provides a point cloud geometric information interframe coding method, which comprises the steps of obtaining a frame point cloud before a current frame point cloud as a reference frame point cloud; respectively carrying out octree division on the current frame point cloud and the reference frame point cloud, then dividing the divided nodes, and finishing iterative division until leaf nodes are reached to obtain a first octree structure of the current frame point cloud and a second octree structure of the reference frame point cloud; acquiring the occupation situation of each reference node; when the occupation situation of the reference node corresponding to the coding node is occupied, acquiring the occupation situation of a first neighbor node of the reference node; and determining a context model of the occupation code of the node to be coded based on the occupation situation, and carrying out entropy coding according to the context model to obtain a binary code stream. The invention uses the context model of the interframe to carry out entropy coding when the interframe prediction occupies, otherwise uses the context model of the intraframe to carry out entropy coding, and does not need motion compensation, thereby reducing the complexity of interframe coding and decoding and improving the performance of geometric entropy coding.
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Drawings
Fig. 1 is a flowchart illustrating an AVS encoding process according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an AVS decoding process provided by an embodiment of the present invention;
FIG. 3 is a flowchart of an embodiment of an AVS encoding process using inter-frame techniques;
FIG. 4 is a flowchart of the application of the interframe technique to the AVS decoding process according to the embodiment of the present invention;
FIG. 5 is a flowchart of a method for interframe coding of point cloud geometric information according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of neighboring nodes of a node corresponding to a reference frame;
FIG. 7 is a flowchart of AVS inter-frame prediction according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a reference node according to an embodiment of the present invention having 6 coplanar neighbor nodes;
fig. 9 is a schematic diagram of a reference node according to an embodiment of the present invention, where 12 collinear neighbor nodes exist;
fig. 10 is a schematic diagram of a reference node according to an embodiment of the present invention having 8 co-located neighbor nodes;
fig. 11 is a flowchart of a point cloud geometric information interframe decoding method according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to specific examples, but the embodiments of the present invention are not limited thereto.
Example one
Referring to fig. 3, in the interframe technique in the AVS encoding process, with the point cloud geometric information interframe encoding method provided by the embodiment of the present invention, the current frame point cloud can be interframe predicted before entropy encoding, and then entropy encoding is performed.
As shown in fig. 4, a point cloud geometric information interframe coding method provided in the embodiment of the present invention includes:
s1a, acquiring a frame point cloud before a current frame point cloud as a reference frame point cloud of the current frame point cloud;
the frame point cloud before the current frame point cloud may be a previous frame point cloud of the current frame point cloud, or one frame of previous N frame point clouds, which is not limited herein.
S2a, performing voxelization processing on the current frame point cloud to obtain the voxelized current frame point cloud;
s3a, respectively carrying out octree division on the current frame point cloud and the reference frame point cloud, and continuing octree division on the sub-nodes obtained by division until leaf nodes are divided to obtain a first octree structure of the current frame point cloud and a second octree structure of the reference frame point cloud;
wherein the first octree structure comprises a plurality of nodes, each node corresponding to a reference node in the second octree structure;
s4a, aiming at each node to be coded of the first octree structure, acquiring the occupation situation of the corresponding reference node in the second octree structure;
s5a, aiming at each node to be coded of the first octree structure, when the occupation situation of the reference node corresponding to the node to be coded is occupied, acquiring the occupation situation of a first neighbor node adjacent to the reference node;
referring to fig. 5, the left side of fig. 5 is a reference frame, the right side of fig. 5 is a current frame, a node to be encoded in the current frame is a gray block, a reference node corresponding to the node to be encoded in the reference frame is also a gray block, and a blank block is a first neighbor node.
S6a, determining a context model of the occupation code of the node to be coded based on the occupation situation of the first neighbor node;
and S7a, entropy coding the placeholder code of the node to be coded after the context model is determined, and obtaining a binary code stream.
As an optional implementation manner of the present invention, after obtaining the binary code stream, the probability distribution corresponding to the context model assigned to the placeholder pair of the node to be coded may be updated.
It can be understood that after the context is allocated each time, the probability distribution corresponding to the context may change, so that updating the probability distribution of the context can improve the accuracy of allocating the context to the node bit occupying code to be encoded, thereby improving the performance of encoding.
Referring to fig. 6, the execution process may be:
(1) firstly, a part of memory can be opened up to store reconstructed point cloud obtained from the previous frame as a reference frame of the current frame point cloud and is marked as pointcloudPred;
(2) quantizing the current frame point cloud to obtain a current frame quantized point cloud which is marked as pointcloudQua;
(3) the current frame quantization point cloud pointcloudQua and the reference frame point cloud pointcloudPred are respectively subjected to octree division to obtain occupation codes of the octree which are respectively recorded as occupancy and occupancy Pred, each bit of the 8-bit occupation code is respectively recorded as Oi and OPi, and the 8-bit occupation codes of the current point cloud and the reference point cloud are respectively stored in a hash table, so that neighbor information can be conveniently found for nodes later.
(4) Judging whether the current node meets the isolated point coding scheme, if so, directly making the occupancy be 0, entering the coding (5), then coding the relative coordinates of the isolated point, and if not, directly entering the coding (5).
(5) If OPi is equal to 1, namely the ith sub-node of the current block of the reference frame is occupied, searching occupation information of the reference frame node (shown in figure 4) corresponding to the coplanar neighbor node coded by the current sub-node Oi, calculating 4 conditions of 0-3 of the occupied neighbor node, assuming that 4 corresponding contexts are ctx _ interPresect [4], each context corresponds to a probability distribution, selecting the probability distribution corresponding to the context by using the occupation condition of the neighbor node, entropy coding the ith sub-node occupation code Oi of the current block of the current frame based on the selected probability distribution, and updating the probability distribution corresponding to the selected context based on the Oi; if OPi is equal to 0, namely the ith sub-node of the current block of the reference frame is not occupied, entropy coding the ith sub-node occupied bit code Oi of the current block of the current frame by using 191 contexts in the original frame, wherein one context corresponds to one probability distribution, and updating the probability distribution corresponding to the selected context based on Oi.
The embodiment of the invention provides a point cloud geometric information interframe coding method, which comprises the steps of obtaining a frame point cloud before a current frame point cloud as a reference frame point cloud; respectively carrying out octree division on the current frame point cloud and the reference frame point cloud, then dividing the divided nodes, and finishing iterative division until leaf nodes are reached to obtain a first octree structure of the current frame point cloud and a second octree structure of the reference frame point cloud; acquiring the occupation situation of each reference node; when the occupation situation of the reference node corresponding to the coding node is occupied, acquiring the occupation situation of a first neighbor node of the reference node; and determining a context model of the occupation code of the node to be coded based on the occupation situation, and carrying out entropy coding according to the context model to obtain a binary code stream. The invention uses the context model of the interframe to carry out entropy coding when the interframe prediction occupies, otherwise uses the context model of the intraframe to carry out entropy coding, and does not need motion compensation, thereby reducing the complexity of interframe coding and decoding and improving the performance of geometric entropy coding.
Example two
As an optional embodiment of the present invention, for each node to be encoded in the first octree structure, when the occupancy of the reference node corresponding to the node to be encoded is occupied, the step of acquiring the occupancy of the first neighbor node adjacent to the reference node includes:
for each node to be coded of the first octree structure, when the occupancy condition of a reference node corresponding to the node to be coded is occupied, the occupancy condition of a first neighbor node coplanar with the reference node is obtained.
EXAMPLE III
As an optional embodiment of the present invention, before the step of acquiring, for each node to be encoded of the first octree structure, a first neighbor node adjacent to a reference node when an occupancy of the reference node corresponding to the node to be encoded is occupied, the point cloud geometric information interframe coding method further includes:
step a: judging whether a reference node corresponding to a node to be coded is occupied or not aiming at each node to be coded of the first octree structure, if not, acquiring the occupation condition of a second neighbor node which is any one or combination of coplanarity, collinearity and coplanarity with the node to be coded and coplanarity with a father node of the node to be coded;
step b: and determining a context model of the bit occupying code of the node to be coded based on the bit occupying situation of the second neighbor node.
Example four
As an optional embodiment of the present invention, before the step of determining the context model of the node-to-be-encoded placeholder code based on the placeholder condition of the first neighboring node, the point cloud geometric information interframe coding method further includes:
acquiring the occupation situation of a second neighbor node which is coplanar, collinear or concurrent with the node to be coded and is coplanar or combined with a father node of the node to be coded;
the step of determining the context model of the node occupation code to be coded based on the occupation situation of the first neighbor node comprises:
and determining a context model of the occupation code of the node to be coded based on the occupation situations of the first neighbor node and the second neighbor node.
It is understood that, in this embodiment, intra-frame and inter-frame are not separately used, but context between intra-frame and inter-frame is used in combination, and may be combined into context or context, considering both intra-frame information and inter-frame information. In the above interframe scheme, there are 4 contexts between frames, and 191 contexts in a frame, and then there are 4 × 191-764 contexts.
EXAMPLE five
As an optional embodiment of the present invention, before the step of determining the context model of the node-to-be-encoded placeholder code based on the placeholder condition of the first neighboring node, the point cloud geometric information interframe coding method further includes:
step a: acquiring the occupation situation of a third neighbor node which is coplanar, collinear and concurrent with the reference node corresponding to the node to be coded;
step b: forming a set of the occupation conditions of the third neighbor nodes;
step c: optionally selecting a preset number of elements in the set as target elements;
step d: the step of determining the context model of the occupation code of the node to be coded based on the occupation situation of the first neighbor node comprises the following steps:
step e: and determining a context model of the node occupation code to be coded based on the target element.
As shown in fig. 7 to 9, the embodiment of the present embodiment that the reference node has 6 coplanar neighbors, 12 collinear neighbors and 8 concurrent neighbors changes the way of finding the neighbors, and not only finds the reference frame node corresponding to the coplanar node encoded by the current child node Oi. Since all the information between frames can be obtained at the encoding and decoding ends, all the coplanarity, collinearity and collinearity points of the OPi corresponding to the Oi node can be searched for, and the total 26 neighbor nodes or the subset of the 26 neighbor nodes can be searched for.
EXAMPLE six
As an optional embodiment of the present invention, after the step of optionally selecting a preset number of elements in the set as target elements, the point cloud geometric information interframe coding method further includes:
optionally selecting a second preset number of elements from the target elements, and taking the second preset number of elements as elements for determining the same context model;
wherein the first preset number is greater than the second preset number;
the step of determining the context model of the node occupation code to be coded based on the target element comprises the following steps:
determining a context model of the node-to-be-encoded bit-occupying code based on a second number of target elements.
It can be understood that, the step (5) in the embodiment is modified to map the occupied numbers and the corresponding contexts of the nodes, instead of mapping each occupied number and corresponding to one context, several occupied numbers and corresponding to one context may be mapped, for example, if the occupied neighbors in the main scheme are 1 and 2, the same context is used for encoding, and then one context may be reduced, and only 3 contexts are used.
EXAMPLE seven
As an optional embodiment of the present invention, after the step of obtaining the occupancy of the first neighboring node coplanar with the reference node, the point cloud geometric information interframe coding method further includes:
acquiring the position information of the first neighbor node;
the step of determining the context model of the node occupation code to be coded based on the occupation situation of the first neighbor node comprises the following steps:
and determining a context model of the occupation code of the node to be coded based on the position information and the occupation situation of the first neighbor node.
It is understood that the occupancy is occupied or unoccupied, the position information includes the position of the first neighboring node relative to the reference node, the occupancy is arranged and combined with the position information, and the number of the context models is expanded to a geometric multiple.
The advantages of the coding method provided by the present invention are verified by experimental data below. The size of the encoded code stream can be reduced without changing the geometric PSNR (PSNR is an objective standard for image evaluation, and the larger the PSNR is, the better the quality of the image) as shown in the following table, a BD-rate (BD-rate is a parameter for measuring the performance and the better the performance when the BD-rate is negative) of the reconstructed point cloud under the condition of C1 (geometric damage and attribute damage), on the basis of which the performance becomes better, the larger the absolute value of BD-rate is, the higher the gain of the performance) and the bpp under the condition of C4 (geometric damage and attribute damage) is (bpp is used for measuring the size of the code stream under the condition of damage, and the smaller the absolute value is, the better the performance is, on the basis of which the smaller the gain is). The results of testing the geometric information of a part of multi-frame point cloud sequences on an AVS platform under the conditions of C1 (geometric loss and attribute loss) and C4 (geometric loss and attribute loss) are shown in tables 1 and 2:
TABLE 1 comparison of the Performance of the encoding method of the present invention with that of the existing AVS Point cloud encoding technique under the condition of C1
Sequence nameBD-rate(D1)BD-rate(D1_H)
ford_01-5.1%-5.1%
ford_02-3.1%-3.1%
ford_03-1.5%-1.5%
TABLE 1 comparison of the Performance of the encoding method of the present invention with that of the existing AVS Point cloud encoding technique under the condition of C4
Sequence namebpp
ford_0197.1%
ford_0298.0%
ford_0398.7%
Example eight
Referring to fig. 10, an interframe technique is performed in the AVS decoding process, thereby obtaining an interframe decoding method for point cloud geometric information according to an embodiment of the present invention.
As shown in fig. 11, a point cloud geometric information interframe decoding method provided in the embodiment of the present invention includes:
s1b, receiving a binary code stream;
the binary code stream comprises a node occupation code to be decoded;
s2b, aiming at each node to be decoded, when the occupation situation of the reference node corresponding to the node to be decoded is occupied, acquiring the occupation situation of a first neighbor node adjacent to the reference node;
s3b, determining a context model of the node occupation code to be decoded based on the occupation situation of the first neighbor node;
and S4b, entropy decoding the placeholder of the node to be decoded after the context model is determined.
Example nine
As an optional embodiment of the present invention, for each node to be decoded of the first octree structure, when the occupancy of the reference node corresponding to the node to be decoded is occupied, the step of acquiring the occupancy of the first neighbor node adjacent to the reference node includes:
for each node to be decoded of the first octree structure, when the occupancy of the reference node corresponding to the node to be decoded is occupied, the occupancy of a first neighbor node coplanar with the reference node is acquired.
Example ten
As an optional embodiment of the present invention, before the step of acquiring, for each node to be decoded of the first octree structure, a neighboring node adjacent to a reference node when an occupancy of the reference node corresponding to the node to be decoded is occupied, the point cloud geometric information interframe decoding method further includes:
step a: judging whether a reference node corresponding to a node to be decoded is occupied, if not, acquiring the occupation condition of a second neighbor node which is any one or combination of coplanarity, collinearity and coplanarity with the node to be decoded and coplanarity with a father node of the node to be decoded;
step b: and determining a context model of the occupation code of the node to be decoded based on the occupation situation of the second neighbor node.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.

Claims (10)

1. A point cloud geometric information interframe coding method is characterized by comprising the following steps:
acquiring a frame point cloud before a current frame point cloud as a reference frame point cloud of the current frame point cloud;
performing voxelization processing on the current frame point cloud to obtain the voxelized current frame point cloud;
respectively carrying out octree division on the current frame point cloud and the reference frame point cloud, and continuing octree division on sub-nodes obtained by division until leaf nodes are divided to obtain a first octree structure of the current frame point cloud and a second octree structure of the reference frame point cloud;
wherein the first octree structure comprises a plurality of nodes, each node corresponding to a reference node in the second octree structure;
aiming at each node to be coded in the first octree structure, acquiring the occupation situation of a corresponding reference node in the second octree structure;
for each node to be coded of the first octree structure, when the occupation situation of a reference node corresponding to the node to be coded is occupied, acquiring the occupation situation of a first neighbor node adjacent to the reference node;
determining a context model of the bit occupying code of the node to be coded based on the bit occupying situation of the first neighbor node;
and entropy coding the placeholder code of the node to be coded after the context model is determined to obtain a binary code stream.
2. The point cloud geometric information interframe coding method according to claim 1, wherein the step of acquiring, for each node to be coded of the first octree structure, an occupancy of a first neighbor node adjacent to a reference node when an occupancy of the reference node corresponding to the node to be coded is occupied comprises:
for each node to be coded of the first octree structure, when the occupancy condition of a reference node corresponding to the node to be coded is occupied, the occupancy condition of a first neighbor node coplanar with the reference node is obtained.
3. The point cloud geometry information interframe coding method of claim 1, wherein before the step of obtaining, for each node to be coded of the first octree structure, a first neighbor node adjacent to a reference node when an occupancy of the reference node corresponding to the node to be coded is occupied, the point cloud geometry information interframe coding method further comprises:
judging whether a reference node corresponding to a node to be coded is occupied or not aiming at each node to be coded of the first octree structure, if not, acquiring the occupation condition of a second neighbor node which is any one or combination of coplanarity, collinearity and coplanarity with the node to be coded and coplanarity with a father node of the node to be coded;
and determining a context model of the bit occupying code of the node to be coded based on the bit occupying situation of the second neighbor node.
4. The point cloud geometry information interframe coding method of claim 1, wherein prior to the step of determining the context model of the node-to-be-coded placeholder code based on the placeholder of the first neighboring node, the point cloud geometry information interframe coding method further comprises:
acquiring the occupation situation of a second neighbor node which is coplanar, collinear or concurrent with the node to be coded and is coplanar or combined with a father node of the node to be coded;
the step of determining the context model of the node occupation code to be coded based on the occupation situation of the first neighbor node comprises:
and determining a context model of the occupation code of the node to be coded based on the occupation situations of the first neighbor node and the second neighbor node.
5. The point cloud geometry information interframe coding method of claim 1, wherein prior to the step of determining the context model of the node-to-be-coded placeholder code based on the placeholder of the first neighboring node, the point cloud geometry information interframe coding method further comprises:
acquiring the occupation situation of a third neighbor node which is coplanar, collinear and concurrent with the reference node corresponding to the node to be coded;
forming a set of the occupation conditions of the third neighbor nodes;
optionally selecting a first preset number of elements in the set as target elements;
the step of determining the context model of the occupation code of the node to be coded based on the occupation situation of the first neighbor node comprises the following steps:
and determining a context model of the node occupation code to be coded based on the target element.
6. The point cloud geometric information interframe coding method according to claim 5, wherein after the step of optionally selecting a preset number of elements in the set as target elements, the point cloud geometric information interframe coding method further comprises:
optionally selecting a second preset number of elements from the target elements, and taking the second preset number of elements as elements for determining the same context model;
wherein the first preset number is greater than the second preset number;
the step of determining the context model of the node occupation code to be coded based on the target element comprises the following steps:
determining a context model of the node-to-be-encoded bit-occupying code based on a second number of target elements.
7. The point cloud geometry information interframe coding method of claim 2, wherein after the step of obtaining an occupancy of a first neighbor node that is coplanar with a reference node, the point cloud geometry information interframe coding method further comprises:
acquiring the position information of the first neighbor node;
the step of determining the context model of the node occupation code to be coded based on the occupation situation of the first neighbor node comprises the following steps:
and determining a context model of the occupation code of the node to be coded based on the position information and the occupation situation of the first neighbor node.
8. A point cloud geometric information interframe decoding method is characterized by comprising the following steps:
receiving a binary code stream;
the binary code stream comprises a node occupation code to be decoded;
for each node to be decoded, when the occupancy of the reference node corresponding to the node to be decoded is occupied, acquiring the occupancy of a first neighbor node adjacent to the reference node;
determining a context model of the occupation code of the node to be decoded based on the occupation situation of the first neighbor node;
and entropy decoding the placeholder of the node to be decoded after the context model is determined.
9. The point cloud geometric information interframe decoding method of claim 8, wherein the step of obtaining, for each node to be decoded of the first octree structure, an occupancy of a first neighbor node adjacent to a reference node when an occupancy of the reference node corresponding to the node to be decoded is occupied comprises:
for each node to be decoded of the first octree structure, when the occupancy of the reference node corresponding to the node to be decoded is occupied, the occupancy of a first neighbor node coplanar with the reference node is acquired.
10. The point cloud geometric information interframe decoding method of claim 8, wherein before the step of obtaining, for each node to be decoded of the first octree structure, a first neighbor node adjacent to a reference node when an occupancy of the reference node corresponding to the node to be decoded is occupied, the point cloud geometric information interframe decoding method further comprises:
judging whether a reference node corresponding to a node to be decoded is occupied, if not, acquiring the occupation condition of a second neighbor node which is any one or combination of coplanarity, collinearity and coplanarity with the node to be decoded and coplanarity with a father node of the node to be decoded;
and determining a context model of the occupation code of the node to be decoded based on the occupation situation of the second neighbor node.
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Cited By (37)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN113453009A (en)*2021-07-042021-09-28西北工业大学Point cloud space scalable coding geometric reconstruction method based on fitting plane geometric error minimum
CN113613017A (en)*2021-07-272021-11-05闽都创新实验室Method for improving V-PCC (V-policy and charging control) inter-frame prediction by three-dimensional inter-frame prediction
CN113676738A (en)*2021-08-192021-11-19上海交通大学Geometric encoding and decoding method and device for three-dimensional point cloud
CN115474052A (en)*2021-06-112022-12-13维沃移动通信有限公司 Point cloud encoding processing method, decoding processing method and related equipment
CN115474058A (en)*2021-06-112022-12-13维沃移动通信有限公司Point cloud encoding processing method, point cloud decoding processing method and related equipment
CN115471627A (en)*2021-06-112022-12-13维沃移动通信有限公司 Point cloud geometric information encoding processing method, decoding processing method and related equipment
CN115643415A (en)*2021-07-192023-01-24中国科学技术大学Point cloud geometric information motion estimation method, system, equipment and storage medium
WO2023003144A1 (en)*2021-07-202023-01-26엘지전자 주식회사Point cloud data transmission device, point cloud data transmission method, point cloud data reception device, and point cloud data reception method
WO2023075453A1 (en)*2021-10-272023-05-04엘지전자 주식회사Point cloud data transmission device, point cloud data transmission method, point cloud data reception device, and point cloud data transmission method
WO2023071462A1 (en)*2021-10-282023-05-04华为技术有限公司Point cloud encoding method and apparatus, point cloud decoding method and apparatus, and device, storage medium and program product
CN116094694A (en)*2022-12-132023-05-09北京大学深圳研究生院Point cloud geometric coding method, decoding method, coding device and decoding device
CN116233388A (en)*2021-12-032023-06-06维沃移动通信有限公司 Point cloud encoding and decoding processing method, device, encoding device and decoding device
WO2023132331A1 (en)*2022-01-072023-07-13Kddi株式会社Point cloud decoding device, point cloud decoding method, and program
WO2023131126A1 (en)*2022-01-042023-07-13Beijing Bytedance Network Technology Co., Ltd.Method, apparatus, and medium for point cloud coding
WO2023147742A1 (en)*2022-02-012023-08-10Beijing Xiaomi Mobile Software Co., Ltd.Method and apparatus of encoding/decoding a slice of point cloud data
WO2023174337A1 (en)*2022-03-182023-09-21维沃移动通信有限公司Coding method, decoding method, apparatus and device
CN116800979A (en)*2023-07-142023-09-22北京邮电大学Point cloud video coding method based on inter-frame implicit correlation
WO2023201022A1 (en)*2022-04-142023-10-19Qualcomm IncorporatedOccupancy coding using inter prediction with octree occupancy coding based on dynamic optimal binary coder with update on the fly (obuf) in geometry-based point cloud compression
WO2024145934A1 (en)*2023-01-062024-07-11Oppo广东移动通信有限公司Point cloud coding/decoding method and apparatus, and device and storage medium
WO2024145933A1 (en)*2023-01-062024-07-11Oppo广东移动通信有限公司Point cloud coding method and apparatus, point cloud decoding method and apparatus, and devices and storage medium
WO2024145904A1 (en)*2023-01-062024-07-11Oppo广东移动通信有限公司Encoding method, decoding method, code stream, encoder, decoder, and storage medium
WO2024145913A1 (en)*2023-01-062024-07-11Oppo广东移动通信有限公司Point cloud encoding and decoding method and apparatus, device, and storage medium
WO2024145935A1 (en)*2023-01-062024-07-11Oppo广东移动通信有限公司Point cloud encoding method and apparatus, point cloud decoding method and apparatus, device, and storage medium
WO2024145910A1 (en)*2023-01-062024-07-11Oppo广东移动通信有限公司Encoding method, decoding method, bitstream, encoder, decoder and storage medium
CN118678084A (en)*2024-07-162024-09-20鹏城实验室Point cloud data encoding and decoding method and device, computer equipment and readable storage medium
CN118743218A (en)*2022-03-122024-10-01Oppo广东移动通信有限公司 Coding and decoding method, code stream, encoder, decoder and storage medium
WO2024197680A1 (en)*2023-03-292024-10-03Oppo广东移动通信有限公司Point cloud coding method and apparatus, point cloud decoding method and apparatus, device, and storage medium
WO2024212038A1 (en)*2023-04-102024-10-17Oppo广东移动通信有限公司Encoding method, decoding method, code stream, encoder, decoder, and storage medium
WO2024212043A1 (en)*2023-04-102024-10-17Oppo广东移动通信有限公司Encoding method, decoding method, code stream, encoder, decoder, and storage medium
WO2024216649A1 (en)*2023-04-182024-10-24Oppo广东移动通信有限公司Point cloud encoding and decoding method, encoder, decoder, code stream, and storage medium
WO2025010600A1 (en)*2023-07-102025-01-16Oppo广东移动通信有限公司Encoding method, decoding method, code stream, encoder, decoder, and storage medium
WO2025077667A1 (en)*2023-10-102025-04-17维沃移动通信有限公司Method and apparatus for determining attribute information of point cloud, and electronic device
WO2025138046A1 (en)*2023-12-282025-07-03Oppo广东移动通信有限公司Coding method and apparatus, decoding method and apparatus, coder, decoder, bitstream, and storage medium
WO2025138030A1 (en)*2023-12-282025-07-03Oppo广东移动通信有限公司Encoding and decoding method, point cloud encoder, point cloud decoder, and storage medium
WO2025148027A1 (en)*2024-01-122025-07-17Oppo广东移动通信有限公司Coding method and apparatus, decoding method and apparatus, and point cloud coder, point cloud decoder, bitstream, device and storage medium
WO2025151994A1 (en)*2024-01-152025-07-24Oppo广东移动通信有限公司Encoding method, decoding method, point cloud encoder, point cloud decoder, and storage medium
CN118743218B (en)*2022-03-122025-10-14Oppo广东移动通信有限公司 Coding and decoding method, code stream, encoder, decoder and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN109196559A (en)*2016-05-282019-01-11微软技术许可有限责任公司The motion compensation of dynamic voxelization point cloud is compressed
US20190116357A1 (en)*2017-10-122019-04-18Mitsubishi Electric Research Laboratories, Inc.System and method for Inter-Frame Predictive Compression for Point Clouds
CN111465964A (en)*2017-10-192020-07-28交互数字Vc控股公司Method and apparatus for encoding/decoding geometry of point cloud representing 3D object
WO2020190090A1 (en)*2019-03-202020-09-24엘지전자 주식회사Point cloud data transmission device, point cloud data transmission method, point cloud data reception device and point cloud data reception method
CN112019842A (en)*2019-05-302020-12-01腾讯美国有限责任公司Method and device for point cloud compression, computer equipment and storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN109196559A (en)*2016-05-282019-01-11微软技术许可有限责任公司The motion compensation of dynamic voxelization point cloud is compressed
US20190116357A1 (en)*2017-10-122019-04-18Mitsubishi Electric Research Laboratories, Inc.System and method for Inter-Frame Predictive Compression for Point Clouds
CN111465964A (en)*2017-10-192020-07-28交互数字Vc控股公司Method and apparatus for encoding/decoding geometry of point cloud representing 3D object
WO2020190090A1 (en)*2019-03-202020-09-24엘지전자 주식회사Point cloud data transmission device, point cloud data transmission method, point cloud data reception device and point cloud data reception method
CN112019842A (en)*2019-05-302020-12-01腾讯美国有限责任公司Method and device for point cloud compression, computer equipment and storage medium

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
SHISHIR SUBRAMANYAM;PABLO CESAR: "Enhancement Layer Inter Frame Coding for 3D Dynamic Point Clouds", 《2018 IEEE GAMES, ENTERTAINMENT, MEDIA CONFERENCE (GEM)》*
SUJUN ZHANG,WEI ZHANG,FUZHENG YANG,JUNYAN HUO: "A 3D Haar Wavelet Transform for Point Cloud Attribute Compression Based on Local Surface Analysis", 《2019 PICTURE CODING SYMPOSIUM (PCS)》*
魏志文: "基于几何重构的LiDAR点云几何无损压缩的研究", 《中国优秀博硕士学位论文全文数据库(硕士) 工程科技Ⅱ辑》*

Cited By (46)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN115474052A (en)*2021-06-112022-12-13维沃移动通信有限公司 Point cloud encoding processing method, decoding processing method and related equipment
CN115474058A (en)*2021-06-112022-12-13维沃移动通信有限公司Point cloud encoding processing method, point cloud decoding processing method and related equipment
CN115471627A (en)*2021-06-112022-12-13维沃移动通信有限公司 Point cloud geometric information encoding processing method, decoding processing method and related equipment
WO2022257971A1 (en)*2021-06-112022-12-15维沃移动通信有限公司Point cloud encoding processing method, point cloud decoding processing method, and related device
WO2022257970A1 (en)*2021-06-112022-12-15维沃移动通信有限公司Point cloud geometric information encoding processing method, decoding processing method, and related device
WO2022257969A1 (en)*2021-06-112022-12-15维沃移动通信有限公司Point cloud coding method, decoding method, and related device
CN113453009A (en)*2021-07-042021-09-28西北工业大学Point cloud space scalable coding geometric reconstruction method based on fitting plane geometric error minimum
CN113453009B (en)*2021-07-042023-02-14西北工业大学Point cloud space scalable coding geometric reconstruction method based on fitting plane geometric error minimum
CN115643415A (en)*2021-07-192023-01-24中国科学技术大学Point cloud geometric information motion estimation method, system, equipment and storage medium
WO2023003144A1 (en)*2021-07-202023-01-26엘지전자 주식회사Point cloud data transmission device, point cloud data transmission method, point cloud data reception device, and point cloud data reception method
CN113613017A (en)*2021-07-272021-11-05闽都创新实验室Method for improving V-PCC (V-policy and charging control) inter-frame prediction by three-dimensional inter-frame prediction
CN113613017B (en)*2021-07-272024-04-19闽都创新实验室Method for improving V-PCC inter-frame prediction by three-dimensional inter-frame prediction
CN113676738B (en)*2021-08-192024-03-29上海交通大学 A geometric encoding and decoding method and device for three-dimensional point clouds
CN113676738A (en)*2021-08-192021-11-19上海交通大学Geometric encoding and decoding method and device for three-dimensional point cloud
WO2023075453A1 (en)*2021-10-272023-05-04엘지전자 주식회사Point cloud data transmission device, point cloud data transmission method, point cloud data reception device, and point cloud data transmission method
WO2023071462A1 (en)*2021-10-282023-05-04华为技术有限公司Point cloud encoding method and apparatus, point cloud decoding method and apparatus, and device, storage medium and program product
CN116233388B (en)*2021-12-032024-08-27维沃移动通信有限公司Point cloud coding and decoding processing method and device, coding equipment and decoding equipment
CN116233388A (en)*2021-12-032023-06-06维沃移动通信有限公司 Point cloud encoding and decoding processing method, device, encoding device and decoding device
WO2023131126A1 (en)*2022-01-042023-07-13Beijing Bytedance Network Technology Co., Ltd.Method, apparatus, and medium for point cloud coding
WO2023132331A1 (en)*2022-01-072023-07-13Kddi株式会社Point cloud decoding device, point cloud decoding method, and program
WO2023147742A1 (en)*2022-02-012023-08-10Beijing Xiaomi Mobile Software Co., Ltd.Method and apparatus of encoding/decoding a slice of point cloud data
CN118743218B (en)*2022-03-122025-10-14Oppo广东移动通信有限公司 Coding and decoding method, code stream, encoder, decoder and storage medium
CN118743218A (en)*2022-03-122024-10-01Oppo广东移动通信有限公司 Coding and decoding method, code stream, encoder, decoder and storage medium
WO2023174337A1 (en)*2022-03-182023-09-21维沃移动通信有限公司Coding method, decoding method, apparatus and device
WO2023201022A1 (en)*2022-04-142023-10-19Qualcomm IncorporatedOccupancy coding using inter prediction with octree occupancy coding based on dynamic optimal binary coder with update on the fly (obuf) in geometry-based point cloud compression
CN116094694B (en)*2022-12-132025-07-15北京大学深圳研究生院Point cloud geometric coding method, decoding method, coding device and decoding device
CN116094694A (en)*2022-12-132023-05-09北京大学深圳研究生院Point cloud geometric coding method, decoding method, coding device and decoding device
WO2024145910A1 (en)*2023-01-062024-07-11Oppo广东移动通信有限公司Encoding method, decoding method, bitstream, encoder, decoder and storage medium
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CN116800979B (en)*2023-07-142025-05-27北京邮电大学Point cloud video coding method based on inter-frame implicit correlation
CN116800979A (en)*2023-07-142023-09-22北京邮电大学Point cloud video coding method based on inter-frame implicit correlation
WO2025077667A1 (en)*2023-10-102025-04-17维沃移动通信有限公司Method and apparatus for determining attribute information of point cloud, and electronic device
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