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» Efficient Dense Scene Flow from Sparse or Dense Stereo Data
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ICCV
2003
IEEE
14 years 7 months ago
Variational Stereovision and 3D Scene Flow Estimation with Statistical Similarity Measures
We present a common variational framework for dense depth recovery and dense three-dimensional motion field estimation from multiple video sequences, which is robust to camera spe...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...
ECCV
2008
Springer
14 years 7 months ago
Learning Two-View Stereo Matching
We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...
ICPR
2010
IEEE
13 years 8 months ago
Quasi-Dense Wide Baseline Matching for Three Views
This paper proposes a method for computing a quasi-dense set of matching points between three views of a scene. The method takes a sparse set of seed matches between pairs of view...
Pekka Koskenkorva, Juho Kannala, Sami Sebastian Br...
ICPR
2004
IEEE
14 years 6 months ago
An Energy Minimisation Approach to Stereo-Temporal Dense Reconstruction
We propose a novel energy minimisation framework for the dense reconstruction of stereo image sequences that incorporates data fidelity as well as spatial and temporal regularity....
Ben Appleton, Brian C. Lovell, Carlos Leung, Chang...
DAGM
2006
Springer
13 years 9 months ago
Dense Stereo by Triangular Meshing and Cross Validation
Dense depth maps can be estimated in a Bayesian sense from multiple calibrated still images of a rigid scene relative to a reference view [1]. This well-established probabilistic f...
Peter Wey, Bernd Fischer, Herbert Bay, Joachim M. ...