Binocular Computer Vision Based on Conformal Geometric Algebra

Binocular Computer Vision Based on Conformal Geometric Algebra We apply the conformal geometric algebra (CGA) to the generalized binocular vision problem. More precisely, we reconstruct a 3D line from its images on the image planes of two cameras whose mutual position is specified by a given Euclidean transformation which depends on an arbitrary number of parameters. We represent all transformations by CGA elements which allows us to derive the general equations of 3D line reconstruction by formal CGA elements manipulation. The transformation equations can be solved w.r.t. either motor or projection unknown parameters. We present two specific examples, show the explicit form of two particular motors and solve the appropriate equations completely. Advances in Applied Clifford Algebras Springer Journals

Binocular Computer Vision Based on Conformal Geometric Algebra

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Springer International Publishing
Copyright © 2017 by Springer International Publishing
Physics; Mathematical Methods in Physics; Theoretical, Mathematical and Computational Physics; Applications of Mathematics; Physics, general
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