Title
Stereo matching using both orthogonal and multiple image pairs
Abstract
In the stereo matching process, a difficult task is to eliminate the false match caused by the repetitive patterns and smooth patterns. A new stereo matching technique that uses multiple image pairs in orthogonal-directions has been proposed. First, it computes the sum of squared-difference (SSD) values for each stereo pair in orthogonal-directions. Then it simply adds individual SSD to produce the sum of SSDs. The resulting function is called the OSSSD. We have proved that the OSSSD function possesses a unique and clear minimum at the true matching position, so it can easily remove the false match caused by both repetitive and smooth patterns. A number of experiments with synthetic and real image sequences are performed, and the results are presented to demonstrate the effectiveness of the technique.
Year
DOI
Venue
2000
10.1109/ICASSP.2000.859259
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference
Keywords
Field
DocType
image matching,image sequences,stereo image processing,OSSSD function,false match,multiple image pairs,orthogonal image pairs,real image sequences,repetitive patterns,smooth patterns,stereo matching technique,sum of squared-difference values,synthetic image sequences
Template matching,Stereo matching,Computer vision,Feature detection (computer vision),Pattern recognition,Computer science,Image texture,Image processing,Artificial intelligence,Real image,Fundamental matrix (computer vision),Computer stereo vision
Conference
Volume
ISSN
ISBN
6
1520-6149
0-7803-6293-4
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Jia, B.100.34
Yu Jin Zhang2127293.14
Lin, X.G.300.34