Paper Info
Title
Regularizing a set of unstructured 3D points from a sequence of stereo images
Abstract
In this paper we present a method for the regularization of a set of unstructured 3D points obtained from a sequence of stereo images. This method takes into account the information supplied by the disparity maps computed between pairs of images to constraint the regularization of the set of 3D points. We propose a model based on an energy which is composed of two terms: an attachment term that minimizes the distance from 3D points to the projective lines of camera points, and a second term that allows for the regularization of the set of 3D points by preserving discontinuities presented on the disparity maps. We embed this energy in a 2D finite element method. After minimizing, this method results in a large system of equations that can be optimized for fast computations. We derive an efficient implicit numerical scheme which reduces the number of calculations and memory allocations.
Year
DOI
Venue
2003
10.1007/3-540-44935-3_31
Scale-Space
Keywords
Field
DocType
system of equations,finite element method,memory allocation
Discrete mathematics,Classification of discontinuities,System of linear equations,Computer science,Discontinuity (linguistics),Algorithm,Finite element method,Regularization (mathematics),Geometry,Numerical analysis,Energy method,Computation
Conference
Volume
ISSN
ISBN
2695
0302-9743
3-540-40368-X
Citations 
PageRank 
References 
0
0.34
10
Authors
3
Name
Order
Citations
PageRank
L. Alvarez128539.37
Carmelo Cuenca2166.12
Javier Sánchez338331.84