Addressing Ambiguity In Object Instance Detection
In this thesis, we study the topic of ambiguity when detecting object instances in scenes with severe clutter and occlusions. Our work focuses on the three key areas: (1) objects that have ambiguous features, (2) objects where discriminative point-based features cannot be reliably extracted, and (3)...
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Format: | Others |
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Research Showcase @ CMU
2013
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Online Access: | http://repository.cmu.edu/dissertations/309 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1305&context=dissertations |