Non-rigid Shape Registration: A Single Linear Least Squares Framework-Reference-Cited by-同舟云学术

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Non-rigid Shape Registration: A Single Linear Least Squares Framework

Published:2012 Issue: Volume: Page:264-277
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2012
language:
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Author:

Rouhani Mohammad,Sappa Angel D.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-33786-4_20

Reference21 articles.

1. Huang, X., Paragios, N., Metaxas, D.: Shape registration in implicit spaces using information theory and free form deformations. IEEE Trans. on Pattern Analysis and Machine Intelligence 28, 1303–1318 (2006)

2. Brown, B., Rusinkiewicz, S.: Global non-rigid alignment of 3-D scans. ACM Trans. Graph. 26, 21 (2007)

3. El Munim, H., Farag, A.: Shape representation and registration using vector distance functions. In: Proc. IEEE International Conference on Computer Vision and Pattern Recognition, Minneapolis, Minnesota, USA (2007)

4. Fujiwara, K., Nishino, K., Takamatsu, J., Zheng, B., Ikeuchi, K.: Locally rigid globally non-rigid surface registration. In: Proc. IEEE International Conference on Computer Vision, Barcelona, Spain, pp. 1527–1534 (2011)

5. Taron, M., Paragios, N., Jolly, M.: Registration with uncertainties and statistical modeling of shapes with variable metric kernels. IEEE Trans. on Pattern Analysis and Machine Intelligence 31, 99–113 (2009)

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