A novel framework for 3D shape retrieval
Author:
Funder
National Natural Science Foundation of China (CN)
Publisher
Springer Science and Business Media LLC
Link
http://link.springer.com/content/pdf/10.1186/s40535-016-0030-1.pdf
Reference12 articles.
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2. Aflalo Y, Bronstein AM et al. (2012) Deformable shape retrieval by learning diffusion kernel. In: International conference on scale space and variational methods in computer vision. Springer, Berlin, pp 689–700
3. Aubry M, Schlickewei U et al. (2011) The wave kernel signature: a quantum mechanical approach to shape analysis. In: IEEE workshop on computer vision, pp 1626–1633
4. Bronstein AM, Bronstein MM et al (2011) Shape google: geometric words and expressions for invariant shape retrieval. ACM Trans Graph 30(1):623–636
5. Elad A, Kimmel R (2001) Bending invariant representations for surfaces. In: Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition, 2001—CVPR 2001, vol 1, pp 1–168
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1. Heuristic optimization-based wave kernel descriptor for deformable 3D shape matching and retrieval;Signal, Image and Video Processing;2018-01-22
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