Journal
ACM TRANSACTIONS ON GRAPHICS
Volume 33, Issue 4, Pages -Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2601097.2601220
Keywords
shape correspondences; symmetry; structural regularity; shape understanding
Categories
Funding
- NSF [FODAVA 808515, DMS 1228304]
- Google research award
- Max Plack Center for Visual Computing and Communications
- Cluster of Excellence Multimodal Computing and Interaction
Ask authors/readers for more resources
In this paper we address the problem of finding correspondences between related shapes of widely varying geometry. We propose a new method based on the observation that symmetry and regularity in shapes is often associated with their function. Hence, they provide cues for matching related geometry even under strong shape variations. Correspondingly, we decomposes shapes into overlapping regions determined by their regularity properties. Afterwards, we form a graph that connects these pieces via pairwise relations that capture geometric relations between rotation axes and reflection planes as well as topological or proximity relations. Finally, we perform graph matching to establish correspondences. The method yields certain more abstract but semantically meaningful correspondences between man-made shapes that are too difficult to recognize by traditional geometric methods.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available