Cao, Yanpeng and McDonald, John
Robust Feature Correspondences from a Large Set of Unsorted Wide Baseline Images.
Image Processing (ICIP), 2009 16th IEEE International Conference on .
Given a set of unordered images taken in a wide area, an effective
solution is proposed for establishing robust feature correspondences
among them. Two major improvements are made
in our work as follows: firstly, a robust technique is proposed
for the self-organization of a large number of images without
spatial orderings; secondly, a novel wide-baseline matching
approach is developed to obtain good correspondences over
images taken from substantially different viewpoints. The
output consists of many sets of reliable pair-wise feature correspondences
which are essential in various computer vision
applications. Realistic experiments were carried out to evaluate
the performances of the proposed method by using a large
amount of images captured from our university’s campus.
||Research presented in this paper was funded by a Strategic
Research Cluster grant (07/SRC/I1168) by Science Foundation
Ireland under the National Development Plan.
||feature correspondence; wide baseline
matching; image self-organization; computer vision; image matching;
||Faculty of Science and Engineering > Computer Science
Dr. Tom Dowling
||11 Jan 2011 16:58
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||Image Processing (ICIP), 2009 16th IEEE International Conference on
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