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A Robust Method for the Estimation of Reliable Wide Baseline Correspondences

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4 Author(s)
Colletto, F. ; Dipt. di Elettronica e Inf., Politecnico di Milano, Italy ; Marcon, M. ; Sarti, A. ; Tubaro, S.

In this paper we present a complete method to retrieve reliable correspondences among wide baseline images, that is images of the same scene/object acquired from very different viewpoints. We propose a solution based on matching of affine co-variant features, composed by the following four steps: interest region detection, normalization, description and matching. In our method we implemented improved versions of some techniques recently introduced in the literature: the MSER detector (maximally stable extremal regions) and SIFT and RIFT descriptors (scale/rotation invariant feature transform). After a general introduction to the wide baseline problems and a summary of the recent state-of-the-art solutions, we illustrate the proposed method detailing the added improvements, then we present some experimental results obtained on wide baseline images.

Published in:

Image Processing, 2006 IEEE International Conference on

Date of Conference:

8-11 Oct. 2006