DocumentCode :
2469534
Title :
Biomimetic frame-free HDR camera with event-driven PWM image/video sensor and full-custom address-event processor
Author :
Posch, Christoph ; Matolin, Daniel ; Wohlgenannt, Rainer ; Hofstätter, Michael ; Schön, Peter ; Litzenberger, Martin ; Bauer, Daniel ; Garn, Heinrich
Author_Institution :
AIT Austrian Inst. of Technol. GmbH, Vienna, Austria
fYear :
2010
fDate :
3-5 Nov. 2010
Firstpage :
254
Lastpage :
257
Abstract :
This paper presents a high DR, high temporal resolution, frame-free image/video camera that encodes and processes visual information in asynchronous spikes. The event-driven optical sensor features 9.3-bit grayscale imaging at up to 143dB DR and <;0.25% FPN with hardware-based lossless video compression and time-domain correlated double sampling. The main components of the camera - the asynchronous, time-based image sensor (ATIS) and a general purpose Address-Event processor (GAEP) with 20-Bit 10ns-resolution sensor data interface - have been specifically designed with the goal to implementing a biomimetic, asynchronous, frame-free approach to vision. The presented system optimally combines the advantages of time-based (PWM) imaging, bio-inspired temporal contrast dynamic vision and event-based (AER) information encoding and data communication, and achieves exceptional performance in terms of dynamic range, FPN, temporal resolution, gray-level resolution and data compression.
Keywords :
biomimetics; biosensors; data compression; image resolution; image sensors; optical sensors; video cameras; video coding; PWM image-video sensor; asynchronous spike; bioinspired temporal contrast dynamic vision; biomimetic frame-free HDR camera; data communication; data compression; event-based information encoding; event-driven optical sensor; frame-free image-video camera; full-custom address-event processor; gray-level resolution; grayscale imaging; resolution sensor data interface; temporal resolution; time 10 ns; visual information; word length 20 bit; word length 9.3 bit; Arrays; Cameras; Gray-scale; Image resolution; Image sensors; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2010 IEEE
Conference_Location :
Paphos
Print_ISBN :
978-1-4244-7269-7
Electronic_ISBN :
978-1-4244-7268-0
Type :
conf
DOI :
10.1109/BIOCAS.2010.5709619
Filename :
5709619
Link To Document :
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