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2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1
Robust Point Feature Matching In Projective Space
Kauai, Hawaii
December 08-December 14
ISBN: 0-7695-1272-0
ASCII Text
x 
 
George Q. Chen, "Robust Point Feature Matching In Projective Space," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 717, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1, 2001.
 
 
BibTex
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@article{ 10.1109/CVPR.2001.990546,
author = {George Q. Chen},
title = {Robust Point Feature Matching In Projective Space},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {1},
year = {2001},
issn = {1063-6919},
pages = {717},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2001.990546},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Robust Point Feature Matching In Projective Space
SN - 1063-6919
SP
EP
A1 - George Q. Chen,
PY - 2001
KW - null
VL - 1
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
George Q. Chen, STMicroelectronics
We present a robust method for matching point features across a set of images under full perspective projection. An Expectation-Maximization-like algorithm is developed to build an optimal Potential Match Set (PMS) between each consecutive pair of views, by iteratively maximizing a heuristic objective function. All two-view matches are combined to form an M-view Potential Match Set (MPMS) with a low contamination rate. Outliers in MPMS are removed incorporating the Least-Median-of-Squares technique with projective reconstruction. The current work extends previous ones in two- or three-view matching, or under affine camera projection. Results on real imagery demonstrate the validity of the proposed method.
Citation:
George Q. Chen, "Robust Point Feature Matching In Projective Space," cvpr, vol. 1, pp.717, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1, 2001
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