Published October 1999
| Published
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Feature detection in analog VLSI
- Creators
- Pesavento, Alberto
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Koch, Christof
Chicago
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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.
Additional Information
© 1999 IEEE. The authors would like to thank Arrigo Benedetti, Jean-Yves Bouguet and Reid Harrison for valuable discussions. This work was supported by the Center for Neuromorphic Systems Engineering at Caltech, an NSF Engineering Research Center.Attached Files
Published - Feature_detection_in_analog_VLSI.pdf
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Additional details
- Eprint ID
- 120780
- Resolver ID
- CaltechAUTHORS:20230412-312037000.3
- Center for Neuromorphic Systems Engineering, Caltech
- NSF
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2023-04-18Created from EPrint's datestamp field
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2023-04-18Created from EPrint's last_modified field