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Random Sample Consensus: A Paradigm for Model Fitting with
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BibRef
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And:
RCV87(726-740).
BibRef
Earlier:
DARPA80(71-88).
BibRef
And:
SRI-TN-213, March 1980.
WWW Version.
RANSAC.
Robust Technique.
BibRef
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A RANSAC-Based Approach to Model Fitting and Its Application to
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IJCAI81(637-643).
RANSAC algorithm for matching data points to the model. This
allows error points to be eliminated and thus ignored - find a
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Survey, Matching.
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Evaluation, Matching. Analysis of the shape matching task, no matter what the method, to determin
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AAAI-94(985-991).
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CVPR94(560-565).
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0206
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0401Generalized likelihood ratio test (GLRT) is invariant with respect to
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0601
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0311
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0602A review of existing algorithms to compare spatial patterns and
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Yao, B.[Benjamin],
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0609
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0609
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0512
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0507 See also Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography.
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WWW Version. Compute transformation based metrics that penalize the amount of
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Panel DiscussionReport on the workshop panel.
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Recognize Three-Dimensional Objects. Characterize shapes as a diffusion-like
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ARPA94(II:1287-1291).
It seems to say the problem remains.
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Gilmore, J.F.,
Pemberton, W.B.,
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IEEE DOI may work or IEEE-CS DOI may work.
0106Issues in matching and use of the match results.
BibRef
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
String Matching .