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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7342| Title: | Geometric Aspects of Visual Object Recognition |
| Keywords: | computer vision bouded error point matching 3D objectsrecognition |
| Issue Date: | 9-Oct-2013 |
| Description: | 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. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AITR-1374 http://hdl.handle.net/1721.1/7342 |
| Appears in Collections: | MIT Items |
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