Title :
Matching lines and points in an active stereo vision system using genetic algorithms
Author :
Woo, S. ; Dipanda, A.
Author_Institution :
Lab. LE2I, Bourgogne Univ., Dijon, France
Abstract :
A new method using genetic algorithms (GAs) is proposed for reconstructing a 3-D shape from an image. This image is obtained by an active stereo vision system composed of a camera and a light system which projects laser rays on the scene to be analyzed. The depth information is provided by matching the laser rays and the corresponding spots appearing in the image. Experimental results demonstrate that the proposed method is effective for 3-D shapes reconstruction
Keywords :
active vision; cameras; genetic algorithms; image matching; image reconstruction; laser beam applications; stereo image processing; 3D shapes reconstruction; active stereo vision system; camera; depth information; genetic algorithms; image matching; image registration; laser rays projection; light system; lines matching; points matching; Cameras; Gas lasers; Genetic algorithms; Image analysis; Image reconstruction; Layout; Pattern analysis; Robot vision systems; Shape; Stereo vision;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899382
