Cited by 153D Shape Modeling and AnalysisAdvanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Constraints for closest point finding

Liu, Yonghuai·2008·Pattern Recognition Letters

Integrity signals

Registry

Crossref · 10.1016/j.patrec.2007.12.004

Cites

32 of 32 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • [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.”

Cites

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4 of the 36 references couldn’t be matched to a known paper.

Cited by

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Authors
Liu, Y.
Affiliations
Aberystwyth University (GB)
Corresponding author
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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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