Title :
Dense range flow from depth and intensity data
Author :
Spies, Hagen ; Jähne, Bemd ; Barron, John L.
Author_Institution :
Interdisciplinary Center for Sci. Comput., Heidelberg Univ., Germany
Abstract :
The combined use of intensity and depth information greatly helps in the estimation of the local 3D movements (range flow) of moving surfaces. We demonstrate how the two can be combined in both: a local total least squares algorithm, and an iterative global variational technique. While the former assumes locally constant flow, the latter relies on a smoothly varying flow field. The improvement achieved through incorporating intensity is illustrated qualitatively and quantitatively on synthetic and real test data
Keywords :
image sequences; iterative methods; least squares approximations; motion estimation; stereo image processing; variational techniques; 3D range flow; depth data; intensity data; iterative method; least squares; motion estimation; optical flow; variational technique; Computer science; Equations; Image motion analysis; Least squares approximation; Least squares methods; Motion analysis; Motion estimation; Optical sensors; Scientific computing; Testing;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.905290