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» Complex Motion Models for Simple Optical Flow Estimation
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CVPR
1998
IEEE
16 years 1 months ago
Motion Feature Detection Using Steerable Flow Fields
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...
David J. Fleet, Michael J. Black, Allan D. Jepson
VCIP
2001
199views Communications» more  VCIP 2001»
15 years 1 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...
ECCV
2006
Springer
16 years 1 months ago
Revisiting the Brightness Constraint: Probabilistic Formulation and Algorithms
Abstract. In this paper we introduce a principled approach to modeling the image brightness constraint for optical flow algorithms. Using a simple noise model, we derive a probabil...
Venu Madhav Govindu
FGR
1996
IEEE
186views Biometrics» more  FGR 1996»
15 years 3 months ago
Cardboard People: A Parameterized Model of Articulated Image Motion
We extend the work of Black and Yacoob on the tracking and recognition of human facial expressions using parameterized models of optical flow to deal with the articulatedmotion of...
Shanon X. Ju, Michael J. Black, Yaser Yacoob
ICIAP
1997
ACM
15 years 3 months ago
Estimating Translation/Deformation Motion through Phase Correlation
Abstract. Phase correlation techniques have been used in image registration to estimate image displacements. These techniques have been also used to estimate optical ow by applying...
Filiberto Pla, Miroslaw Bober