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» Dealing with Multiple Motions in Optical Flow Estimation
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ICCV
1999
IEEE
16 years 1 months ago
Optimal Filters for Gradient-based Motion Estimation
Gradient based approaches for motion estimation (Optical-Flow) estimate the motion of an image sequence based on local changes in the image intensities. In order to best evaluate ...
Michael Elad, Patrick C. Teo, Yacov Hel-Or
CVPR
2000
IEEE
16 years 1 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
2006
IEEE
15 years 5 months ago
Specular Flow and the Recovery of Surface Structure
In scenes containing specular objects, the image motion observed by a moving camera may be an intermixed combination of optical flow resulting from diffuse reflectance (diffuse ...
Stefan Roth, Michael J. Black
BMVC
2010
14 years 9 months ago
Automatic Facial Expression Recognition using Bags of Motion Words
We present a fully automatic approach for facial expression recognition based on a representation of facial motion using a vocabulary of local motion descriptors. Previous studies...
Liefei Xu, Philippos Mordohai
ECCV
1998
Springer
16 years 1 months ago
Motion Recovery from Image Sequences: Discrete Viewpoint vs. Differential Viewpoint
Abstract. The aim of this paper is to explore intrinsic geometric methods of recovering the three dimensional motion of a moving camera from a sequence of images. Generic similarit...
Yi Ma, Jana Kosecka, Shankar Sastry