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MDL, Collineations and the Fundamental Matrix

Abstract : Scene geometry can be inferred from point correspondences between two images. The inference process includes the selection of a model. Four models are considered: background (or null), collineation, affine fundamental matrix and fundamental matrix. It is shown how Minimum Description Length (MDL) can be used to compare the different models. The main result is that there is little reason for preferring the fundamental matrix model over the collineation model, even when the former is the "true" model.
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https://hal.inria.fr/inria-00525677
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Submitted on : Monday, May 30, 2011 - 11:50:32 AM
Last modification on : Thursday, April 28, 2022 - 12:34:02 AM
Long-term archiving on: : Wednesday, August 31, 2011 - 2:21:06 AM

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  • HAL Id : inria-00525677, version 1

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Steve Maybank, Peter Sturm. MDL, Collineations and the Fundamental Matrix. The 10th British Machine Vision Conference (BMVC '99), Sep 1999, Nottingham, United Kingdom. pp.53-62. ⟨inria-00525677⟩

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