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IJCV
2000
195views more  IJCV 2000»
13 years 4 months ago
Optical Flow Constraints on Deformable Models with Applications to Face Tracking
Optical flow provides a constraint on the motion of a deformable model. We derive and solve a dynamic system incorporating flow as a hard constraint, producing a model-based least...
Douglas DeCarlo, Dimitris N. Metaxas
ICCV
2011
IEEE
12 years 4 months ago
Optical Flow Estimation Using Learned Sparse Model
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
Kui Jia, Xiaogang Wang, Xiaoou Tang
ECCV
2006
Springer
14 years 6 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
ICCV
1999
IEEE
14 years 6 months ago
Removal of Translation Bias when using Subspace Methods
Given estimates of the motion eld optic ow from an image sequence, it is possible to recover translational direction, ~T, using a variety of techniques. One such technique, known ...
W. James MacLean
DAGM
2007
Springer
13 years 8 months ago
An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections
Abstract. Confidence measures are important for the validation of optical flow fields by estimating the correctness of each displacement vector. There are several frequently used c...
Claudia Kondermann, Daniel Kondermann, Bernd J&aum...