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IJCV
2006
206views more  IJCV 2006»
13 years 7 months ago
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
In this paper, we suggest a variational model for optic flow computation based on non-linearised and higher order constancy assumptions. Besides the common grey value constancy ass...
Nils Papenberg, Andrés Bruhn, Thomas Brox, ...
ICCV
2011
IEEE
12 years 7 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
CVPR
2011
IEEE
13 years 3 months ago
A Polar Representation of Motion and Implications for Optical Flow
We explore a polar representation of optical flow in which each element of the brightness motion field is represented by its magnitude and orientation instead of its Cartesian p...
Yair Adato, Todd Zickler, Ohad Ben-Shahar
CVPR
2011
IEEE
13 years 3 months ago
Scene Flow Estimation by Growing Correspondence Seeds
A simple seed growing algorithm for estimating scene flow in a stereo setup is presented. Two calibrated and synchronized cameras observe a scene and output a sequence of image p...
Jan Cech, Jordi Sanchez-Riera, Radu Horaud
ECCV
2006
Springer
14 years 9 months ago
Variational Motion Segmentation with Level Sets
We suggest a variational method for the joint estimation of optic flow and the segmentation of the image into regions of similar motion. It makes use of the level set framework fol...
Thomas Brox, Andrés Bruhn, Joachim Weickert