Learning Dense 3D Correspondence
2007
Conference Paper
ei
Establishing correspondence between distinct objects is an important and nontrivial task: correctness of the correspondence hinges on properties which are difficult to capture in an a priori criterion. While previous work has used a priori criteria which in some cases led to very good results, the present paper explores whether it is possible to learn a combination of features that, for a given training set of aligned human heads, characterizes the notion of correct correspondence. By optimizing this criterion, we are then able to compute correspondence and morphs for novel heads.
Author(s): | Steinke, F. and Schölkopf, B. and Blanz, V. |
Book Title: | Advances in Neural Information Processing Systems 19 |
Journal: | Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference |
Pages: | 1313-1320 |
Year: | 2007 |
Month: | September |
Day: | 0 |
Editors: | B Sch{\"o}lkopf and J Platt and T Hofmann |
Publisher: | MIT Press |
Department(s): | Empirical Inference |
Bibtex Type: | Conference Paper (inproceedings) |
Event Name: | 20th Annual Conference on Neural Information Processing Systems (NIPS 2006) |
Event Place: | Vancouver, BC, Canada |
Address: | Cambridge, MA, USA |
Digital: | 0 |
ISBN: | 0-262-19568-2 |
Language: | en |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
Links: |
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BibTex @inproceedings{4148, title = {Learning Dense 3D Correspondence}, author = {Steinke, F. and Sch{\"o}lkopf, B. and Blanz, V.}, journal = {Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference}, booktitle = {Advances in Neural Information Processing Systems 19}, pages = {1313-1320}, editors = {B Sch{\"o}lkopf and J Platt and T Hofmann}, publisher = {MIT Press}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {Cambridge, MA, USA}, month = sep, year = {2007}, doi = {}, month_numeric = {9} } |