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» Dense disparity map representations for stereo image coding
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IJCV
2002
157views more  IJCV 2002»
13 years 7 months ago
Dense Features for Semi-Dense Stereo Correspondence
We present a new feature based algorithm for stereo correspondence. Most of the previous feature based methods match sparse features like edge pixels, producing only sparse dispar...
Olga Veksler
ECCV
1996
Springer
14 years 9 months ago
Dense Depth Map Reconstruction: A Minimization and Regularization Approach which Preserves Discontinuities
We present a variational approachto dense stereo reconstructionwhich combines powerful tools such as regularization and multi-scale processing to estimate directly depth from a num...
Luc Robert, Rachid Deriche
ACCV
2006
Springer
14 years 1 months ago
Dense Motion and Disparity Estimation Via Loopy Belief Propagation
We describe a method for computing a dense estimate of motion and disparity, given a stereo video sequence containing moving non-rigid objects. In contrast to previous approaches, ...
Michael Isard, John MacCormick
DAGM
2005
Springer
14 years 1 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...
ICIAP
2009
ACM
14 years 2 months ago
Dense Two-Frame Stereo Correspondence by Self-organizing Neural Network
This work aims at defining an extension of a competitive method for matching correspondences in stereoscopic image analysis. The method we extended was proposed by Venkatesh, Y.V....
Marco Vanetti, Ignazio Gallo, Elisabetta Binaghi