Title :
A Universal Method for Hierarchical Object Recognition based on Low-Power Vision Sensors
Author :
Lustenberger, Felix ; Beyeler, David ; Franzi, Edo ; Seitz, Peter ; Zamofing, Thierry
Author_Institution :
Image Sensing, Photonics & Microelectron. Divisions, CSEM SA, Zurich
Abstract :
A universal software framework for hierarchical object recognition has been devised based on V. B. Mountcastle´s observation (Mountcastle, 1978) that the human cortex consists of the same basic functionality which is used to subdivide the complex computations into elementary matching tasks, independently whether auditory, visual, olfactory, haptic or any other sensory information is presented at the input. Combined with a unique vision sensor system that is capable to directly extract contrast magnitude and direction, a powerful combination of hardware and software for real-time pattern-recognition tasks at very low power-consumption levels is presented
Keywords :
computational complexity; image sensors; low-power electronics; object recognition; real-time systems; Mountcastle observation; complex computations; hierarchical object recognition; human cortex; low power-consumption; low-power vision sensors; real-time pattern-recognition tasks; universal method; universal software framework; Application software; Computer vision; Haptic interfaces; Humans; Image sensors; Microelectronics; Object recognition; Olfactory; Optical computing; Optoelectronic and photonic sensors;
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
DOI :
10.1109/ISCAS.2007.378325
