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Robust feature correspondences from a large set of unsorted wide baseline images

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2 Author(s)
Yanpeng Cao ; Dept. of Comput. Sci., Nat. Univ. of Ireland, Maynooth, Ireland ; McDonald, J.

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.

Published in:

Image Processing (ICIP), 2009 16th IEEE International Conference on

Date of Conference:

7-10 Nov. 2009

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