TY - GEN
T1 - Object modeling from multiple images using genetic algorithms
AU - Saito, Hideo
AU - Mori, Masayuki
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 1996
Y1 - 1996
N2 - This paper describes an application of genetic algorithms (GAs) to modeling of multiple objects from CCD images. Shape modeling is a very important issue for shape recognition for robot vision, representing 3-D shapes in the virtual world, and so on. In this paper, we propose a method for object modeling from multiple view images using genetic algorithms (GAs). In this method, similarity between the model and the image at each view angle is evaluated. The model having the maximum evaluation is found by GAs. In the proposed method, a sharing scheme is used for finding multiple solutions efficiently. Some results of object modeling experiments from synthetic and real multiple view images demonstrate that the proposed method can robustly generate models by using GAs.
AB - This paper describes an application of genetic algorithms (GAs) to modeling of multiple objects from CCD images. Shape modeling is a very important issue for shape recognition for robot vision, representing 3-D shapes in the virtual world, and so on. In this paper, we propose a method for object modeling from multiple view images using genetic algorithms (GAs). In this method, similarity between the model and the image at each view angle is evaluated. The model having the maximum evaluation is found by GAs. In the proposed method, a sharing scheme is used for finding multiple solutions efficiently. Some results of object modeling experiments from synthetic and real multiple view images demonstrate that the proposed method can robustly generate models by using GAs.
UR - http://www.scopus.com/inward/record.url?scp=84898775649&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84898775649&partnerID=8YFLogxK
U2 - 10.1109/ICPR.1996.547649
DO - 10.1109/ICPR.1996.547649
M3 - Conference contribution
AN - SCOPUS:84898775649
SN - 081867282X
SN - 9780818672828
T3 - Proceedings - International Conference on Pattern Recognition
SP - 669
EP - 673
BT - Track D
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Pattern Recognition, ICPR 1996
Y2 - 25 August 1996 through 29 August 1996
ER -