Bayesian Modeling of Uncertainty in Low-Level Vision
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 C...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1989
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| Schriftenreihe: | The Kluwer International in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors
79 |
| Schlagworte: | |
| Online-Zugang: | DE-634 URL des Erstveröffentlichers |
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