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» Recovering Estimates of Fluid Flow from Image Sequence Data
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ICCV
1995
IEEE
13 years 11 months ago
Recovering 3D Motion of Multiple Objects Using Adaptive Hough Transform
—We present a method to determine 3D motion and structure of multiple objects from two perspective views, using adaptive Hough transform. In our method, segmentation is determine...
Tina Yu Tian, Mubarak Shah
VISSYM
2003
13 years 9 months ago
MCMR: A Fluid View on Time Dependent Volume Data
Mass Conservative Motion Reconstruction is a new method for estimating motion in time dependent volume data. A time dependent vector field representing the movement of the data i...
Wim C. de Leeuw, Robert van Liere
ECCV
2008
Springer
14 years 9 months ago
Efficient Dense Scene Flow from Sparse or Dense Stereo Data
Abstract. This paper presents a technique for estimating the threedimensional velocity vector field that describes the motion of each visible scene point (scene flow). The techniqu...
Andreas Wedel, Clemens Rabe, Tobi Vaudrey, Thomas ...
CVPR
2000
IEEE
14 years 9 months ago
Integrated 3D Scene Flow and Structure Recovery from Multiview Image Sequences
Scene ow is the 3D motion eld of points in the world. Given N (N > 1) image sequences gather ed with a N-eye stereo camera or N calibrated cameras, we present a novel system wh...
Ye Zhang, Chandra Kambhamettu
CVPR
2010
IEEE
13 years 10 months ago
Multi-View Scene Flow Estimation: A View Centered Variational Approach
We present a novel method for recovering the 3D structure and scene flow from calibrated multi-view sequences. We propose a 3D point cloud parametrization of the 3D structure and ...
Tali Bahsa, Yael Moses, Nahum Kiryati