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Ponce, Jean Shimshoni, Ilan Moshe 2011-05-07T11:56:03Z 2011-05-07T11:56:03Z 10000-01-01 1995 This thesis addresses various problems in computer vision which are related to the interpretation of images of polyhedral objects with a special emphasis on the effects of uncertainty. Its contributions span three areas: we first present an approach to the recovery of 3D shape from a single image using line-drawing analysis and complex reflectance models. The algorithm deals explicitly with uncertainty in vertex position. We then propose an algorithm for computing the finite-resolution aspect graph of polyhedral objects. For each region of the aspect graph a representative finite-resolution aspect is computed. Neighboring regions with identical finite-resolution aspects are merged producing the finite-resolution aspect graph. Finally, we develop a probabilistic approach to object recognition. Match hypotheses are ranked by the probability that they are correct. For each hypothesis the pose of the object is recovered and the region of the pose space compatible with the image uncertainty is computed. Hypotheses which match different features of the same model reinforce each other when the corresponding uncertainty regions in the pose space have a non-empty intersection. Sets of consistent hypotheses are ranked by probability that they are the correct interpretation of the features, producing an ordering of the possible interpretations. The three algorithms have been fully implemented and examples are presented. Made available in DSpace on 2011-05-07T11:56:03Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9624496.pdf: 5320412 bytes, checksum: cbebc2171e1437e8ff3b8eb2c1e29a6b (MD5) Previous issue date: 1995 Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:34:27Z Item is restricted indefinitely. Restriction data tranferred 2014-07-01T11:13:09-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission ETDs are only available to UIUC Users without author permission U of I Only AAI9624496 (UMI)AAI9624496 http://hdl.handle.net/2142/19070 eng Copyright 1995 Shimshoni, Ilan Moshe Artificial Intelligence Computer Science Interpreting images of polyhedral objects in the presence of uncertainty text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.