Work

L.: MAC-RANSAC: a robust algorithm for the recognition of multiple objects

Year: 2010

Type: article

Abstract: This paper addresses the problem of recognizing multi-ple rigid objects that are common to two images. We pro-pose a generic algorithm that allows to simultaneously de-cide if one or several objects are common to the two images and to estimate the corresponding geometric transforma-tions. The considered transformations include similarities, homographies and epipolar geometry. We first propose a generalization of an a contrario formulation of the RANSAC algorithm proposed in [6]. We then introduce an algorithm for the detection of multiple transformations between im-ages and show its efficiency on various experiments. 1.

Authors: Julien Rabin, Julie Delon, Yann Gousseau, Lionel Moisan

Institutions: Laboratoire Traitement et Communication de l’Information, Mathématiques Appliquées à Paris 5

Language: English

Topic: Advanced Image and Video Retrieval Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6051369

FWCI: 3.636

Cites: 7

Cited by: 37

Related to: 10