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» Fast and Efficient Dense Variational Stereo on GPU
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ICCV
2003
IEEE
15 years 11 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
12 years 12 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
15 years 10 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
14 years 10 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
118
Voted
IJCV
2002
256views more  IJCV 2002»
14 years 9 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