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Robust Feature Correspondences from a Large Set of Unsorted Wide Baseline Images |
Cao, Yanpeng; McDonald, John
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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.
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Keyword(s):
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Computer Science; feature correspondence; wide baseline matching; image self-organization; computer vision; image matching |
Publication Date:
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2009 |
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Type:
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Journal article |
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Peer-Reviewed:
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Yes |
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Institution:
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Maynooth University |
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Funder(s):
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Science Foundation Ireland |
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Citation(s):
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Cao, Yanpeng and McDonald, John (2009) Robust Feature Correspondences from a Large Set of Unsorted Wide Baseline Images. Image Processing (ICIP), 2009 16th IEEE International Conference on . 4277 -4280. ISSN 1522-4880 |
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Publisher(s):
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IEEE |
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File Format(s):
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application/pdf |
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Related Link(s):
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http://mural.maynoothuniversity.ie/2326/1/YC_WideBaseline_Images.pdf |
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First Indexed:
2020-01-31 06:00:05 Last Updated:
2020-04-02 07:36:28 |
