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

fYear

2007

fDate

27-30 May 2007

Firstpage

1209

Lastpage

1209

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISCAS.2007.378325

Filename

4252860