Bayesian Modeling of Uncertainty in Low-Level Vision / by Richard Szeliski.
Vision has to deal with uncertainty. The sensors are noisy, the prior knowledge is uncertain or inaccurate, and the problems of recovering scene information from images are often ill-posed or underconstrained. This research monograph, which is based on Richard Szeliski's Ph. D. dissertation at...
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| Online Access: |
Full Text (via Springer) |
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| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Boston, MA :
Springer US,
1989.
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| Series: | Kluwer International in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors ;
79. |
| Subjects: |
Internet
Full Text (via Springer)Online
| Call Number: |
TK7882.P3
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| TK7882.P3 | Available |