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» Dealing with Multiple Motions in Optical Flow Estimation
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ICCV
1999
IEEE
15 years 11 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
15 years 11 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 3 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 7 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
15 years 11 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