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Estimating fundamental matrix based on planar objects in stereo images


Moulay Akhloufi, WeiBing Tong, Vladimir Polotski and Paul Cohen

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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.

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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 }
}

Dernière modification: 2010/02/21 par akhloufi

     
 
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