DocumentCode :
3374427
Title :
Activity-driven, event-based vision sensors
Author :
Delbrück, Tobi ; Linares-Barranco, Bernabe ; Culurciello, Eugenio ; Posch, Christoph
Author_Institution :
Inst. of Neuroinformatics, UNI-ETH Zurich, Zürich, Switzerland
fYear :
2010
fDate :
May 30 2010-June 2 2010
Firstpage :
2426
Lastpage :
2429
Abstract :
The four chips presented in the special session on "Activity-driven, event-based vision sensors" quickly output compressed digital data in the form of events. These sensors reduce redundancy and latency and increase dynamic range compared with conventional imagers. The digital sensor output is easily interfaced to conventional digital post processing, where it reduces the latency and cost of post processing compared to imagers. The asynchronous data could spawn a new area of DSP that breaks from conventional Nyquist rate signal processing. This paper reviews the rationale and history of this event-based approach, introduces sensor functionalities, and gives an overview of the papers in this session. The paper concludes with a brief discussion on open questions.
Keywords :
data compression; image sensors; Nyquist rate signal processing; asynchronous data; compressed digital data; digital sensor; event based vision sensor; Biology computing; Biosensors; Delay; Dynamic range; History; Image sensors; Machine vision; Neuromorphics; Optical sensors; Retina;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-5308-5
Electronic_ISBN :
978-1-4244-5309-2
Type :
conf
DOI :
10.1109/ISCAS.2010.5537149
Filename :
5537149
Link To Document :
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