Title :
Depth from dynamic stereo images
Author :
Jiang, Fan ; Weymouth, Terry E.
Author_Institution :
Artificial Intelligence Lab., Michigan Univ., Ann Arbor, MI, USA
Abstract :
A novel depth computation algorithm is described. Based on linear equations derived from the consideration of relative normal velocity, this algorithm determines depth values locally and uniquely from normal velocities. Multiple independently moving objects present no problem for the algorithm. A velocity constraint is implemented to estimate normal velocities from intensity images. Experiments to determine depth values from both synthetic images and real images are presented. The experiments show that the depth-recovery algorithm can recover correct values from intensity images. The accuracy of the depth values depends heavily on the accuracy of the normal velocities
Keywords :
computerised pattern recognition; computerised picture processing; computerised picture processing; depth algorithm; depth values; depth-recovery algorithm; dynamic stereo images; intensity images; pattern recognition; range data; velocity constraint; Artificial intelligence; Cameras; Computer vision; Image motion analysis; Laboratories; Nonlinear equations; Nonlinear optics; Optical noise; Stereo vision; Vectors;
Conference_Titel :
Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89., IEEE Computer Society Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-1952-x
DOI :
10.1109/CVPR.1989.37857