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» Stereo Matching Using Optic Flow
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CVPR
2006
IEEE
14 years 9 months ago
Multi-Camera Scene Flow by Tracking 3-D Points and Surfels
Scene flow represents the 3-D motion of points in the scene, just as optical flow is related to their 2-D motion in the images. As opposed to classical methods which compute scene...
Frederic Devernay, Diana Mateus, Matthieu Guilbert
VCIP
2001
199views Communications» more  VCIP 2001»
13 years 9 months ago
Estimation of large-amplitude motion and disparity fields: application to intermediate view reconstruction
This paper describes a method for establishing dense correspondence between two images in a video sequence (motion) or in a stereo pair (disparity) in case of large displacements....
Moustapha Kardouchi, Janusz Konrad, Carlos V&aacut...
MVA
1990
133views Computer Vision» more  MVA 1990»
13 years 8 months ago
An Application of Optical Flow - Extraction of Facial Expression -
This report discusses a method that uses optical flow to estimate facial muscle movements which could then be recognized these movements as facial expressions. The. human face has...
Kenji Mase
EMMCVPR
2009
Springer
14 years 2 months ago
Detection and Segmentation of Independently Moving Objects from Dense Scene Flow
We present an approach for identifying and segmenting independently moving objects from dense scene flow information, using a moving stereo camera system. The detection and segmen...
Andreas Wedel, Annemarie Meißner, Clemens Ra...
FGR
2008
IEEE
301views Biometrics» more  FGR 2008»
14 years 2 months ago
3D facial geometry recovery via group-wise optical flow
We describe an algorithm for automatically finding correspondences from face video sequences. This method is useful to many applications such as face tracking, face modeling and ...
Hui Fang, Nicholas Costen, David Cristinacce, John...