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Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space (bibtex)
by M. Vestner, R. Litman, E. Rodola, A. Bronstein and D. Cremers
Reference:
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space (M. Vestner, R. Litman, E. Rodola, A. Bronstein and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([Code], also check the related github repository)
Bibtex Entry:
@string{cvpr="IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}
@inproceedings{vestner2017pmf,
title = {Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density
Estimation in the Product Space},
author = {M. Vestner and R. Litman and E. Rodola and A. Bronstein and D. Cremers},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2017},
titleurl = {2017_ProductManifoldFilter.pdf},
topic = {Shape Analysis, Shape Matching},
keywords = {Geometry Processing},
}
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