DocumentCode :
1945034
Title :
Multi-Scale 3D Scene Flow from Binocular Stereo Sequences
Author :
Li, Rui ; Sclaroff, Stan
Author_Institution :
Boston University, MA
Volume :
2
fYear :
2005
fDate :
5-7 Jan. 2005
Firstpage :
147
Lastpage :
153
Abstract :
Scene flow methods estimate the three-dimensional motion field for points in the world, using multi-camera video data. Such methods combine multi-view reconstruction with motion estimation approaches. This paper describes an alternative formulation for dense scene flow estimation that provides convincing results using only two cameras by fusing stereo and optical flow estimation into a single coherent framework. To handle the aperture problems inherent in the estimation task, a multi-scale method along with a novel adaptive smoothing technique is used to gain a regularized solution. This combined approach both preserves discontinuities and prevents over-regularization - two problems commonly associated with basic multi-scale approaches. Internally, the framework generates probability distributions for optical flow and disparity. Taking into account the uncertainty in the intermediate stages allows for more reliable estimation of the 3D scene flow than standard stereo and optical flow methods allow. Experiments with synthetic and real test data demonstrate the effectiveness of the approach.
Keywords :
Apertures; Cameras; Computer science; Deformable models; Estimation error; Image motion analysis; Image sequences; Layout; Motion estimation; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application of Computer Vision, 2005. WACV/MOTIONS '05 Volume 1. Seventh IEEE Workshops on
Conference_Location :
Breckenridge, CO
Print_ISBN :
0-7695-2271-8
Type :
conf
DOI :
10.1109/ACVMOT.2005.80
Filename :
4129598
Link To Document :
بازگشت