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Estimating the Fundamental Matrix Based on a New Constraint

Wei Wang Chengke Wu Roger Mohr 1
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : A new method is developed to estimate fundamental matrix (F matrix). We first find two parameters in the 8-parameter F model by the new constraint developed in this paper, the two parameters are the affine coordinates of an epipole. Then we obtain the rest 6 parameters by solving a set of linear equations. Finally, our method is tested with many real images and compared with the 8-point method and some iterative algorithms, the results show that our method has many advantages, such as the obvious geometrical meaning, the fewer matching pairs needed for calculation and high accuracy F matrice.
keyword : MOVI
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https://hal.inria.fr/inria-00548363
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Submitted on : Monday, December 20, 2010 - 8:43:54 AM
Last modification on : Monday, December 28, 2020 - 3:44:02 PM

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Wei Wang, Chengke Wu, Roger Mohr. Estimating the Fundamental Matrix Based on a New Constraint. SPIE Conference on Videometrics, Sep 1996, Philadephia, United States. pp.324--330, ⟨10.1117/12.251810⟩. ⟨inria-00548363⟩

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