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Article
Volume: 34 | Article ID: ISS-242
Image
Xiaozheng Mou
  Xiaozheng Mou
Affiliation
Omnivision Technologies Inc., United States
Kaijun Feng
  Kaijun Feng
Affiliation
Omnivision Technologies Inc., United States
Alex Yi
  Alex Yi
Affiliation
Omnivision Technologies Inc., United States
Steve Wang
  Steve Wang
Affiliation
Omnivision Technologies Inc., United States
Huan Chen
  Huan Chen
Affiliation
Omnivision Technologies Inc., United States
Xiaoqin Hu
  Xiaoqin Hu
Affiliation
Omnivision Technologies Inc., United States
Menghan Guo
  Menghan Guo
Affiliation
Omnivision Technologies Inc., United States
Shoushun Chen
  Shoushun Chen
Affiliation
Omnivision Technologies Inc., United States
Andreas Suess
  Andreas Suess
Affiliation
Omnivision Technologies Inc., United States
 DOI : 10.2352/EI.2022.34.7.ISS-242 Published OnlineJanuary 2022
Abstract
Abstract

Event sensing is a novel modality which is solely sensitive to changes of information. This redundancy reduction can be utilized to achieve high temporal resolution, reduce power consumption, simplify algorithms etc. The hardware-software co-design of event sensors and algorithms requires early simulation of the sensor system. It has been shown that high-speed video is well suited to derive such event data for temporal contrast based event sensors, but the simulators published so far neglect phenomena such as readout latency or refractory period. This paper presents ongoing modeling activities at OmniVision Technologies.

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Publisher Location : IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA
Subject Areas :
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  Cite this article 

Xiaozheng Mou, Kaijun Feng, Alex Yi, Steve Wang, Huan Chen, Xiaoqin Hu, Menghan Guo, Shoushun Chen, Andreas Suess, "Accurate event simulation using high-speed videoinProc. IS&T Int’l. Symp. on Electronic Imaging: Imaging Sensors and Systems, 2022, pp 242-1 - 242-6,  https://doi.org/10.2352/EI.2022.34.7.ISS-242

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Copyright © Society for Imaging Science and Technology 2022
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Journal Title: Electronic Imaging
Publisher Name: Society for Imaging Science and Technology
Publisher Location: IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA
Preprint submitted to:
Copyright © Society for Imaging Science and Technology
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Electronic Imaging
2470-1173
2470-1173
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA
10.2352/EI.2022.34.7.ISS-242
ISS-242
Article
Accurate event simulation using high-speed video
MouXiaozheng
Omnivision Technologies Inc., United States
FengKaijun
Omnivision Technologies Inc., United States
YiAlex
Omnivision Technologies Inc., United States
WangSteve
Omnivision Technologies Inc., United States
ChenHuan
Omnivision Technologies Inc., United States
HuXiaoqin
Omnivision Technologies Inc., United States
GuoMenghan
Omnivision Technologies Inc., United States
ChenShoushun
Omnivision Technologies Inc., United States
SuessAndreas
Omnivision Technologies Inc., United States
Abstract
Event sensing is a novel modality which is solely sensitive to changes of information. This redundancy reduction can be utilized to achieve high temporal resolution, reduce power consumption, simplify algorithms etc. The hardware-software co-design of event sensors and algorithms requires early simulation of the sensor system. It has been shown that high-speed video is well suited to derive such event data for temporal contrast based event sensors, but the simulators published so far neglect phenomena such as readout latency or refractory period. This paper presents ongoing modeling activities at OmniVision Technologies.
16012022
34
ISS
7
242-1
242-6
© 2022, Society for Imaging Science and Technology
2022
Event Sensing Neuromorphic Imaging Event simulation Event modeling Latency
Published Online : January 2022

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