The correlated correspondence algorithm for unsupervised registration of nonrigid surfaces (2005)by D. Anguelov, D. Koller, P. Srinivasan, S. Thrun, H.C. Pang, and J. Davis
Abstract:
We present an unsupervised algorithm for registering 3D surface scans of an object undergoing signi cant deformations. Our algorithm does not use markers, nor does it assume prior knowledge about object shape, the dynamics of its deformation, or scan alignment. The algorithm registers two meshes by optimizing a joint probabilistic model over all pointtopoint correspondences between them. This model enforces preservation of local mesh geometry, as well as more global constraints that capture the preservation of geodesic distance between corresponding point pairs. The algorithm applies even when one of the meshes is an incomplete range scan; thus, it can be used to automatically fill in the remaining surfaces for this partial scan, even if those surfaces were previously only seen in a different con guration. We evaluate the algorithm on several realworld datasets, where we demonstrate good results in the presence of signi cant movement of articulated parts and nonrigid surface deformation. Finally, we show that the output of the algorithm can be used for compelling computer graphics tasks such as interpolation between two scans of a nonrigid object and automatic recovery of articulated object models.
Download Information
D. Anguelov, D. Koller, P. Srinivasan, S. Thrun, H.C. Pang, and J. Davis (2005). "The correlated correspondence algorithm for unsupervised registration of nonrigid surfaces." Advances in Neural Information Processing Systems (NIPS 2004).


Bibtex citation
@inproceedings{Anguelov+al:NIPS04,
author = {D. Anguelov and D. Koller and P. Srinivasan and S. Thrun and H.C. Pang and J. Davis},
title = {The correlated correspondence algorithm for unsupervised registration of nonrigid surfaces},
booktitle = "Advances in Neural Information Processing Systems
(NIPS 2004)",
year = 2005,
address = {Vancouver, Canada},
}
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