ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:MP-P7.8
Session:Stereo Image Processing
Time:Monday, October 9, 14:20 - 17:00
Presentation: Poster
Topic: Stereoscopic and 3-D Processing: Stereo image processing
Title: A ROBUST METHOD FOR THE ESTIMATION OF RELIABLE WIDE BASELINE CORRESPONDENCES
Authors: Francesco Colletto; Politecnico di Milano 
 Marco Marcon; Politecnico di Milano 
 Augusto Sarti; Politecnico di Milano 
 Stefano Tubaro; Politecnico di Milano 
Abstract: 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 covariant 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.