TY - GEN
T1 - Stereo correspondence using GA-based segmentation
AU - Jung, Keechul
AU - Han, Junghyun
PY - 2000
Y1 - 2000
N2 - This paper presents a new cooperative algorithm based on the integration of stereo matching and segmentation. Stereo correspondence is recovered from two stereo images with the help of a segmentation result. Using a genetic algorithm (GA)-based image segmentation, we can refine the depth map more effectively. Experimental results are presented to illustrate the performances of the proposed method.
AB - This paper presents a new cooperative algorithm based on the integration of stereo matching and segmentation. Stereo correspondence is recovered from two stereo images with the help of a segmentation result. Using a genetic algorithm (GA)-based image segmentation, we can refine the depth map more effectively. Experimental results are presented to illustrate the performances of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=84944097408&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84944097408&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84944097408
SN - 3540414509
SN - 9783540414506
VL - 1983
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 497
EP - 502
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
T2 - 2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000
Y2 - 13 December 2000 through 15 December 2000
ER -