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CAIP
2009
Springer
14 years 1 months ago
A Methodology for Evaluating Illumination Artifact Removal for Corresponding Images
Robust stereo and optical flow disparity matching is essential for computer vision applications with varying illumination conditions. Most robust disparity matching algorithms rel...
Tobi Vaudrey, Andreas Wedel, Reinhard Klette
IJCV
2000
121views more  IJCV 2000»
13 years 7 months ago
Regularized Bundle-Adjustment to Model Heads from Image Sequences without Calibration Data
We address the structure-from-motionproblem in the context of head modeling from video sequences for which calibration data is not available. This task is made challenging by the ...
Pascal Fua
CRV
2005
IEEE
181views Robotics» more  CRV 2005»
14 years 1 months ago
New Multi-baseline Stereo by Counting Interest Points
This paper proposes a novel method for estimating depth from a long image sequence captured by a moving camera. Our idea for estimating a depth map is very simple; only counting i...
Tomokazu Sato, Naokazu Yokoya
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

Book
34534views
15 years 6 months ago
OpenCV - Open Source Computer Vision Reference Manual
OpenCV is a C/C++ computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform. It is highl...
Intel