Implementing early vision algorithms in analog hardware: an overview
- Creators
- Koch, Christof
- Others:
- Mathur, Bimal P.
- Koch, Christof
Abstract
In the last ten years, significant progress has been made in understanding the first steps in visual processing. Thus, a large number of algorithms exist that locate edges, compute disparities, estimate motion fields and find discontinuities in depth, motion, color and intensity. However, the application of these algorithms to real-life vision problems has been less successful, mainly because the associated computational cost prevents real-time machine vision implementations on anything but large-scale expensive digital computers. We here review the use of analog, special-purpose vision hardware, integrating image acquisition with early vision algorithms on a single VLSI chip. Such circuits have been designed and successfully tested for edge detection, surface interpolation, computing optical flow and sensor fusion. Thus, it appears that real-time, small, power-lean and robust analog computers are making a limited comeback in the form of highly dedicated, smart vision chips.
Additional Information
© 1991 Society of Photo-Optical Instrumentation Engineers (SPIE). Research on early vision chips in our laboratory is supported by the the National Science Foundation, the Office of Naval Research, Rockwell International Science Center and the Artificial Intelligence Center at Hughes Aircraft.Attached Files
Published - 2.pdf
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Additional details
- Eprint ID
- 91814
- Resolver ID
- CaltechAUTHORS:20181213-143632907
- NSF
- Office of Naval Research (ONR)
- Rockwell International Science Center
- Hughes Aircraft Artificial Intelligence Center
- Created
-
2018-12-19Created from EPrint's datestamp field
- Updated
-
2021-11-16Created from EPrint's last_modified field
- Series Name
- Proceedings of SPIE
- Series Volume or Issue Number
- 1473