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Title:
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Geometric Aspects of Visual Object Recognition |
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Author:
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Breuel, Thomas M. |
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Issue Date:
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1992-05-01 |
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Abstract:
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This thesis presents there important results in visual object recognition based on shape. (1) A new algorithm (RAST; Recognition by Adaptive Sudivisions of Tranformation space) is presented that has lower average-case complexity than any known recognition algorithm. (2) It is shown, both theoretically and empirically, that representing 3D objects as collections of 2D views (the "View-Based Approximation") is feasible and affects the reliability of 3D recognition systems no more than other commonly made approximations. (3) The problem of recognition in cluttered scenes is considered from a Bayesian perspective; the commonly-used "bounded-error errorsmeasure" is demonstrated to correspond to an independence assumption. It is shown that by modeling the statistical properties of real-scenes better, objects can be recognized more reliably. |
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URI:
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http://hdl.handle.net/1721.1/7342
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Other Identifiers:
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AITR-1374 |
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Series/Report no.:
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AITR-1374 |
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Keywords:
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computer vision, bouded error, point matching, 3D objectsrecognition |
