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DAGM
2005
Springer
13 years 10 months 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...
IJCV
2006
227views more  IJCV 2006»
13 years 5 months ago
A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods
Variational methods are among the most accurate techniques for estimating the optic flow. They yield dense flow fields and can be designed such that they preserve discontinuities, ...
Andrés Bruhn, Joachim Weickert, Timo Kohlbe...
SCALESPACE
2005
Springer
13 years 10 months 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...
ICCV
2011
IEEE
12 years 5 months ago
Kinecting the dots: Particle Based Scene Flow from depth sensors
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
Simon Hadfield, Richard Bowden
PAMI
2010
145views more  PAMI 2010»
13 years 14 hour ago
Texture Synthesis with Grouplets
This paper proposes a new method to synthesize and inpaint geometric textures. The texture model is composed of a geometric layer that drives the computation of a new grouplet tran...
Gabriel Peyré