A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A combinatorial Laplacian with vertex weights
Journal of Combinatorial Theory Series A
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Consistent mesh parameterizations
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Joint shape segmentation with linear programming
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ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
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ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Active co-analysis of a set of shapes
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Co-abstraction of shape collections
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Unsupervised co-segmentation for 3D shapes using iterative multi-label optimization
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ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Qualitative organization of collections of shapes via quartet analysis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Co-segmentation of 3D shapes via multi-view spectral clustering
The Visual Computer: International Journal of Computer Graphics
Fine-grained semi-supervised labeling of large shape collections
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SIGGRAPH Asia 2013 Courses
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Computers and Graphics
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We perform co-analysis of a set of man-made 3D objects to allow the creation of novel instances derived from the set. We analyze the objects at the part level and treat the anisotropic part scales as a shape style. The co-analysis then allows style transfer to synthesize new objects. The key to co-analysis is part correspondence, where a major challenge is the handling of large style variations and diverse geometric content in the shape set. We propose style-content separation as a means to address this challenge. Specifically, we define a correspondence-free style signature for style clustering. We show that confining analysis to within a style cluster facilitates tasks such as co-segmentation, content classification, and deformation-driven part correspondence. With part correspondence between each pair of shapes in the set, style transfer can be easily performed. We demonstrate our analysis and synthesis results on several sets of man-made objects with style and content variations.