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» Fast and Efficient Dense Variational Stereo on GPU
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ICCV
2003
IEEE
14 years 6 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...
PAMI
2012
11 years 7 months ago
Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images
—We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction given a series of calibrated 2D images. Instead of segmenting each image separately i...
Kalin Kolev, Thomas Brox, Daniel Cremers
ICPR
2006
IEEE
14 years 5 months ago
Variational Multigrid for Fast 3D Interpretation of Image Sequences
We propose a variational multigrid method for fast 3D interpretation of image sequences, in which a dense depth map and 3D motion are directly recovered from spatiotemporal change...
Jong-Sung Kim, Ki-Sang Hong
ACCV
2010
Springer
13 years 5 months ago
Efficient Large-Scale Stereo Matching
ACCV In this paper we propose a novel approach to binocular stereo for fast matching of high-resolution images. Our approach builds a prior on the disparities by forming a ...
Andreas Geiger, Martin Roser and Raquel Urtasun
IJCV
2002
256views more  IJCV 2002»
13 years 4 months ago
Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques
This paper presents a fast and reliable stereo matching algorithm which produces a dense disparity map by using fast cross correlation, rectangular subregioning (RSR) and 3D maxim...
Changming Sun