Title :
Fusion of stereo and motion vision for 3-D reconstruction
Author :
Waldmann, Jacques ; Merhav, Shmuel
Author_Institution :
IEEE-ITA-CTA, Sao Jose dos Campos, Brazil
fDate :
30 Aug-3 Sep 1992
Abstract :
Describes a robotic vision system based on the fusion of stereo and motion vision for 3-D reconstruction. Its performance under occlusions is improved by considering the image matching noise dynamics in the motion module. The stereo module is based on the maximum a posteriori estimate of depth given the measured stereo disparity. Simulations with noisy synthetic images showed that the system is capable of 3-D reconstruction and of resolving occluding from occluded objects with potential for real-time operation
Keywords :
computer vision; robots; 3-D reconstruction; computer vision; disparity; image matching noise dynamics; maximum a posteriori estimate of depth; motion vision; noisy synthetic images; occlusions; robotic vision system; stereo; Cameras; Colored noise; Filters; Image matching; Image reconstruction; Image resolution; Noise measurement; Stereo image processing; Stereo vision; Three dimensional displays;
Conference_Titel :
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2910-X
DOI :
10.1109/ICPR.1992.201496
