Feature detection in analog VLSI

Author

Pesavento, Alberto ; Koch, Christof

Author_Institution

Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA

Volume

2

fYear

1999

fDate

24-27 Oct. 1999

Firstpage

1436

Abstract

Feature detection and tracking is a fundamental problem in computer vision research. By detecting and tracking features in an image sequence it is possible to recover information on both the motion of the viewer and the structure of the environment. We designed and tested a CMOS imager with analog VLSI focal plane computation for feature detection. The chip implements a feature detection algorithm that is suitable for integration in a compact analog VLSI chip. We review the algorithm, its analog VLSI implementation and results from the chip.

Keywords

CMOS image sensors; VLSI; analogue integrated circuits; computer vision; feature extraction; image sequences; tracking; CMOS imager; analog VLSI chip; computer vision research; feature detection algorithm; feature tracking; focal plane computation; image sequence; motion information recovery; Analog computers; Artificial intelligence; Brightness; Computer vision; Detection algorithms; Ear; Eigenvalues and eigenfunctions; Frequency; Motion detection; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.831943

Filename

831943