Title :
Feature detection in analog VLSI
Author :
Pesavento, Alberto ; Koch, Christof
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
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;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.831943
