Citation
Pesavento, Alberto (2002) Visual sensors for focal plane computation of image features. Dissertation (Ph.D.), California Institute of Technology. http://resolver.caltech.edu/CaltechTHESIS:03022011-094512699
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. The selection of features is a computationally intensive task. We derived two low-complexity algorithms that are suitable for integration in a CMOS sensor with focal-plane processing. We review the two algorithms and the circuits that implement them. We present results from accurate simulations and experimental results from the testing of these CMOS sensors.
| Item Type: | Thesis (Dissertation (Ph.D.)) |
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| Subject Keywords: | Electrical Engineering |
| Degree Grantor: | California Institute of Technology |
| Division: | Engineering and Applied Science |
| Major Option: | Electrical Engineering |
| Thesis Availability: | Restricted to Caltech community only |
| Research Advisor(s): |
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| Thesis Committee: |
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| Defense Date: | 17 May 2002 |
| Record Number: | CaltechTHESIS:03022011-094512699 |
| Persistent URL: | http://resolver.caltech.edu/CaltechTHESIS:03022011-094512699 |
| Default Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. |
| ID Code: | 6262 |
| Collection: | CaltechTHESIS |
| Deposited By: | John Wade |
| Deposited On: | 03 Mar 2011 21:18 |
| Last Modified: | 26 Dec 2012 04:33 |
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