RT Journal Article
T1 On combining support vector machines and simulated annealing in stereovision matching
A1 Pajares Martínsanz, Gonzalo
A1 Cruz García, Jesús Manuel de la
AB This paper outlines a method for solving the stereovision matching problem using edge segments as the primitives. In stereovision matching, the following constraints are commonly used: epipolar, similarity, smoothness, ordering, and uniqueness. We propose a new strategy in which such constraints are sequentially combined. The goal is to achieve high performance in terms of correct matches by combining several strategies. The contributions of this paper are reflected in the development of a similarity measure through a support vector machines classification approach; the transformation of the smoothness, ordering and epipolar constraints into the form of an energy function, through an optimization simulated annealing approach, whose minimum value corresponds to a good matching solution and by introducing specific conditions to overcome the violation of the smoothness and ordering constraints. The performance of the proposed method is illustrated by comparative analysis against some recent global matching methods.
PB IEEE-Inst Electrical Electronics Engineers Inc
SN 1083-4419
YR 2004
FD 2004-08
LK https://hdl.handle.net/20.500.14352/51036
UL https://hdl.handle.net/20.500.14352/51036
LA eng
NO © 2004 IEEE. The authors wish to acknowledge the constructive recommendations provided by the reviewers.
DS Docta Complutense
RD 11 abr 2025