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Robust Feature Correspondences from a Large Set of Unsorted Wide Baseline Images

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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Abstract

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.

Item Type: Article
Additional Information: 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.
Keywords: feature correspondence; wide baseline matching; image self-organization; computer vision; image matching;
Subjects: Science & Engineering > Computer Science
Item ID: 2326
Identification Number: DOI: 10.1109/ICIP.2009.5413689
Depositing User: Dr. Tom Dowling
Date Deposited: 11 Jan 2011 16:58
Journal or Publication Title: Image Processing (ICIP), 2009 16th IEEE International Conference on
Publisher: IEEE
Refereed: Yes
URI:

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