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DAGM
2005
Springer
14 years 14 days ago
Optic Flow Goes Stereo: A Variational Method for Estimating Discontinuity-Preserving Dense Disparity Maps
We present a novel variational method for estimating dense disparity maps from stereo images. It integrates the epipolar constraint into the currently most accurate optic flow met...
Natalia Slesareva, Andrés Bruhn, Joachim We...
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
CAIP
2003
Springer
244views Image Analysis» more  CAIP 2003»
14 years 5 days ago
Real-Time Optic Flow Computation with Variational Methods
Abstract. Variational methods for optic flow computation have the reputation of producing good results at the expense of being too slow for real-time applications. We show that re...
Andrés Bruhn, Joachim Weickert, Christian F...
SCALESPACE
2005
Springer
14 years 13 days ago
Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time
Variational methods are very popular for optic flow computation: They yield dense flow fields and perform well if they are adapted such that they respect discontinuities in the ...
Andrés Bruhn, Joachim Weickert, Timo Kohlbe...
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