Title
A dense disparity map of stereo images
Abstract
We present a new algorithm for solving the stereo vision matching problem by using dynamic programming. Edge pixels extracted from two images are matched and a dense disparity map is obtained by filling in the spaces between two consecutive edge pixels.
Year
DOI
Venue
1997
10.1016/S0167-8655(97)00022-6
Pattern Recognition Letters
Keywords
Field
DocType
stereo image,distance between strings,dense disparity map,regularization,stereo vision,string matching,dynamic programming
String searching algorithm,Dynamic programming,Computer vision,Pattern recognition,Stereopsis,Filling-in,Regularization (mathematics),Artificial intelligence,Pixel,Mathematics,Computer stereo vision
Journal
Volume
Issue
ISSN
18
4
Pattern Recognition Letters
Citations 
PageRank 
References 
7
0.96
5
Authors
3
Name
Order
Citations
PageRank
Angela Rojas170.96
Antonio Calvo270.96
José Muñoz3284.32