Title :
3D from an image sequence-occlusions and perspective
Author :
Shmuel, Amir ; Werman, Michael
Author_Institution :
Dept. of Comput. Sci., Hebrew Univ., Jerusalem, Israel
Abstract :
The authors propose an active solution of optimally recovering 3D scene depth from a sequence of pictures. The choice of the difference between camera locations for the different pictures in the sequence is described. The tradeoff between short and long distances between successive locations of the camera is shown in terms of occlusions perspective transformation, and exact triangulation
Keywords :
pattern recognition; picture processing; 3D scene depth; camera locations; exact triangulation; image sequence; occlusions; perspective transformation; scene reconstruction; Cameras; Computer science; Data mining; Image sequences; Iterative algorithms; Layout; Mathematical model; Motion estimation; Photometry; Random variables;
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-8186-2148-6
DOI :
10.1109/CVPR.1991.139794
