noRANSAC for fundamental matrix estimation

Risultato della ricerca: Paper

5 Citazioni (Scopus)

Abstract

The estimation of the fundamental matrix from a set of corresponding points is a relevant topic in epipolar stereo geometry . Due to the high amount of outliers between the matches, RANSAC-based approaches [7, 13, 29] have been used to obtain the fundamental matrix. In this paper two new contributes are presented: a new normalized epipolar error measure which takes into account the shape of the features used as matches  and a new strategy to compare fundamental matrices. The proposed error measure gives good results and it does not depend on the image scale. Moreover, the new evaluation strategy describes a valid tool to compare different RANSAC-based methods because it does not rely on the inlier ratio, which could not correspond to the best allowable fundamental matrix estimated model, but it makes use of a reference ground truth fundamental matrix obtained by a set of corresponding points given by the user
Lingua originale English Published - 2011

Geometry

All Science Journal Classification (ASJC) codes

• Computer Vision and Pattern Recognition

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2011.

Risultato della ricerca: Paper

@conference{60160939fce949d4be7cc4781e4b03d1,
title = "noRANSAC for fundamental matrix estimation",
abstract = "The estimation of the fundamental matrix from a set of corresponding points is a relevant topic in epipolar stereo geometry . Due to the high amount of outliers between the matches, RANSAC-based approaches [7, 13, 29] have been used to obtain the fundamental matrix. In this paper two new contributes are presented: a new normalized epipolar error measure which takes into account the shape of the features used as matches  and a new strategy to compare fundamental matrices. The proposed error measure gives good results and it does not depend on the image scale. Moreover, the new evaluation strategy describes a valid tool to compare different RANSAC-based methods because it does not rely on the inlier ratio, which could not correspond to the best allowable fundamental matrix estimated model, but it makes use of a reference ground truth fundamental matrix obtained by a set of corresponding points given by the user",
author = "Domenico Tegolo and Fabio Bellavia",
year = "2011",
language = "English",

}

TY - CONF

T1 - noRANSAC for fundamental matrix estimation

AU - Tegolo, Domenico

AU - Bellavia, Fabio

PY - 2011

Y1 - 2011

N2 - The estimation of the fundamental matrix from a set of corresponding points is a relevant topic in epipolar stereo geometry . Due to the high amount of outliers between the matches, RANSAC-based approaches [7, 13, 29] have been used to obtain the fundamental matrix. In this paper two new contributes are presented: a new normalized epipolar error measure which takes into account the shape of the features used as matches  and a new strategy to compare fundamental matrices. The proposed error measure gives good results and it does not depend on the image scale. Moreover, the new evaluation strategy describes a valid tool to compare different RANSAC-based methods because it does not rely on the inlier ratio, which could not correspond to the best allowable fundamental matrix estimated model, but it makes use of a reference ground truth fundamental matrix obtained by a set of corresponding points given by the user

AB - The estimation of the fundamental matrix from a set of corresponding points is a relevant topic in epipolar stereo geometry . Due to the high amount of outliers between the matches, RANSAC-based approaches [7, 13, 29] have been used to obtain the fundamental matrix. In this paper two new contributes are presented: a new normalized epipolar error measure which takes into account the shape of the features used as matches  and a new strategy to compare fundamental matrices. The proposed error measure gives good results and it does not depend on the image scale. Moreover, the new evaluation strategy describes a valid tool to compare different RANSAC-based methods because it does not rely on the inlier ratio, which could not correspond to the best allowable fundamental matrix estimated model, but it makes use of a reference ground truth fundamental matrix obtained by a set of corresponding points given by the user

UR - http://hdl.handle.net/10447/60416

M3 - Paper

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