Constraints for closest point finding
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[63] recently provided a formal treatment of CPC showing that it guarantees the established point correspondences cannot be too wrong at each step.
“[63] recently provided a formal treatment of CPC showing that it guarantees the established point correspondences cannot be too wrong at each step: it is impossible that some correspondences are of high quality, while their neighbors are of significantly lower quality, because the relationship of correspondences are implicitly captured by the rigid transformation.”
From Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid (2013) · cites this paper as [63]
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- Authors
- Liu, Y.
- Affiliations
- Aberystwyth University (GB)
- Corresponding author
- Liu, Yonghuai
- ORCID
- Liu, Yonghuai
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2008-05
- Volume
- 29
- Issue
- 7
- Pages
- 841-851
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2142949141
- Cited by
- 15
- References
- 36
- Citations by year
- 2024: 1 · 2019: 1 · 2017: 1 · 2016: 1 · 2014: 2 · 2013: 1 · 2012: 2
- FWCI
- 2.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Pattern Recognition Letters (publishedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › 3D Shape Modeling and Analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Keywords
- point matching, spin images, triangle inequality, orientation constraints, rigidity constraints, matching error, 3D shape matching
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