Learning local shape descriptors for computing non-rigid dense correspondence

Author:

Guo Jianwei,Wang Hanyu,Cheng Zhanglin,Zhang Xiaopeng,Yan Dong-Ming

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Reference66 articles.

1. Corman, É.; Ovsjanikov, M.; Chambolle, A. Supervised descriptor learning for non-rigid shape matching. In. Computer Vision–ECCV 2014 Workshops. Lecture Notes in Computer Science, Vol. 8928. Agapito, L.; Bronstein, M.; Rother, C. Eds. Springer Cham, 283–298, 2015.

2. Guo, Y. L.; Bennamoun, M.; Sohel, F.; Lu, M.; Wan, J. W. 3D object recognition in cluttered scenes with local surface features: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 36, No. 11, 2270–2287, 2014.

3. Lian, Z. H.; Godil, A.; Bustos, B.; Daoudi, M.; Hermans, J.; Kawamura, S.; Kurita, Y.; Lavoué, G.; Van Nguyen, H.; Ohbuchi, R.; et al. A comparison of methods for non-rigid 3D shape retrieval. Pattern Recognition Vol. 46, No. 1, 449–461, 2013.

4. Van Kaick, O.; Zhang, H.; Hamarneh, G.; Cohen-Or, D. A survey on shape correspondence. Computer Graphics Forum Vol. 30, No. 6, 1681–1707, 2011.

5. Wang, Y. Q.; Guo, J. W.; Yan, D. M.; Wang, K.; Zhang, X. P. A robust local spectral descriptor for matching non-rigid shapes with incompatible shape structures. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 6231–6240, 2019.

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