Learning Shape Proxies from 3D Geometries for Semantic Analysis, Representation and Manipulation of Man-Made Objects
In this thesis, we investigate many aspects to extract shape proxies to enable perceptually sound and semantic man-made shape analysis, representation and manipulation. We start with introducing a co-segmentation method for textured 3D shapes. Our algorithm takes a collection of textured shapes belo...
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| Format: | Others |
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Research Showcase @ CMU
2015
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| Online Access: | http://repository.cmu.edu/dissertations/634 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1672&context=dissertations |