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» Dense Features for Semi-Dense Stereo Correspondence
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CVPR
2001
IEEE
11 years 1 months ago
Semi-Dense Stereo Correspondence with Dense Features
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
IJCV
2002
157views more  IJCV 2002»
9 years 11 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
CVPR
2003
IEEE
11 years 1 months ago
Extracting Dense Features for Visual Correspondence with Graph Cuts
We present a method for extracting dense features from stereo and motion sequences. Our dense feature is defined symmetrically with respect to both images, and it is extracted dur...
Olga Veksler
CRV
2007
IEEE
161views Robotics» more  CRV 2007»
10 years 6 months ago
Dense Stereo Range Sensing with Marching Pseudo-Random Patterns
As an extension to classical structured lighting techniques, the use of bi-dimensional pseudo-random color codes is explored to perform range sensing with variable density from a ...
Danick Desjardins, Pierre Payeur
ICRA
2007
IEEE
225views Robotics» more  ICRA 2007»
10 years 6 months ago
Accurate Quadrifocal Tracking for Robust 3D Visual Odometry
— This paper describes a new image-based approach to tracking the 6dof trajectory of a stereo camera pair using a corresponding reference image pairs instead of explicit 3D featu...
Andrew I. Comport, Ezio Malis, Patrick Rives
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