DocumentCode
3596849
Title
A CMOS imager with focal-plane computation for feature detection
Author
Pesavento, A. ; Koch, Christof
Author_Institution
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Volume
3
fYear
2001
Firstpage
624
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 about both the motion of the viewer and the structure of the environment. We designed, fabricated 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 experimental results from the chip
Keywords
CMOS image sensors; VLSI; analogue integrated circuits; computer vision; feature extraction; focal planes; CMOS imager; analog VLSI; computer vision; feature detection; focal-plane computation; tracking; Brightness; CMOS technology; Cameras; Computer vision; Detection algorithms; Eigenvalues and eigenfunctions; Image sequences; Motion detection; Streaming media; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Print_ISBN
0-7803-6685-9
Type
conf
DOI
10.1109/ISCAS.2001.921388
Filename
921388
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