Publications

Estimating fundamental matrix based on planar objects in stereo images

Moulay Akhloufi, WeiBing Tong, Vladimir Polotski and Paul Cohen
More on this project...
Abstract - The fundamental matrix plays an important role in an uncalibrated stereo vision system. Because of its sensitivity to image noise, estimating the fundamental matrix is known to be a difficult problem. Many researchers designed algorithms to estimate the fundamental matrix given known corresponding points in stereo images. In this paper, we describe a linear and robust method to estimate the fundamental matrix given the presence of planar surfaces in the scene.

Bibtex:

@inproceedings{Akhloufi812,
author    = { Moulay Akhloufi and WeiBing Tong and Vladimir Polotski and Paul Cohen },
title     = { Estimating fundamental matrix based on planar objects in stereo images },
booktitle = { 6th International Conference on Fuzzy Theory and Technology },
volume    = { 4 },
series    = { International Joint Conference of Information Sciences (JCIS’98) },
pages     = { 401-404 },
address   = { Durham, NC, USA },
year      = { 1998 },
month     = { October },
language  = { English },
web       = { http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.48.6420 }
}

Last modification: 2010/02/21 by akhloufi

		Home \| About \| People \| Research \| Publications \| Events \| Profile
		©2002-. Computer Vision and Systems Laboratory. All rights reserved