Coarse-to-Fine Combinatorial Matching for Dense Isometric Shape Correspondence

Date

2011-08-01

Author

Sahillioğlu, Yusuf
Yemez, Y.

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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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Citation Formats

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.