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Coarse-to-Fine Combinatorial Matching for Dense Isometric Shape Correspondence
Date
2011-08-01
Author
Sahillioğlu, Yusuf
Yemez, Y.
Metadata
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We present a dense correspondence method for isometric shapes, which is accurate yet computationally efficient. We minimize the isometric distortion directly in the 3D Euclidean space, i.e., in the domain where isometry is originally defined, by using a coarse-to-fine sampling and combinatorial matching algorithm. Our method does not require any initialization and aims to find an accurate solution in the minimum-distortion sense for perfectly isometric shapes. We demonstrate the performance of our method on various isometric (or nearly isometric) pairs of shapes.
Subject Keywords
3D shape correspondence-coarse-to-fine sampling
,
Categories and subject descriptors (according to ACM CCS)
,
Combinatorial matching
,
I.3.5 [Computer graphics]
,
Isometric dense shape correspondence
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85014435751&origin=inward
https://hdl.handle.net/11511/97071
Journal
COMPUTER GRAPHICS FORUM
DOI
https://doi.org/10.1111/j.1467-8659.2011.02020.x
Collections
Department of Computer Engineering, Article
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BibTeX
Y. Sahillioğlu and Y. Yemez, “Coarse-to-Fine Combinatorial Matching for Dense Isometric Shape Correspondence,”
COMPUTER GRAPHICS FORUM
, vol. 30, no. 5, pp. 1461–1470, 2011, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85014435751&origin=inward.