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
Link To Document :
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