A Robust Method for the Estimation of Reliable Wide Baseline Correspondences

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 Trans

• Type: Conference
• Year: 2006
• Where: ICIP
• Authors: Francesco Colletto, Marco Marcon, Augusto Sarti, Stefano Tubaro
• Keywords: Affine Covariant Features, ICIP 2006, Image Processing, RIFT Descriptors, Rotation Invariant Feature, Stable Extremal Regions, Wide Baseline Images