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» Learning priors for calibrating families of stereo cameras
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ICCV
2007
IEEE
14 years 6 months ago
Learning priors for calibrating families of stereo cameras
Online camera recalibration is necessary for long-term deployment of computer vision systems. Existing algorithms assume that the source of recalibration information is a set of f...
Andrew W. Fitzgibbon, Duncan P. Robertson, Antonio...
AROBOTS
1998
150views more  AROBOTS 1998»
13 years 3 months ago
Self Calibration of the Fixation Movement of a Stereo Camera Head
In this article we show how an active stereo camera head can be made to autonomously learn to fixate objects in space. During fixation, the system performs an initial and a corre...
Mike Pagel, Eric Maël, Christoph von der Mals...
ACCV
2006
Springer
13 years 10 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
CVPR
2005
IEEE
14 years 6 months ago
Estimating Disparity and Occlusions in Stereo Video Sequences
We propose an algorithm for estimating disparity and occlusion in stereo video sequences. The algorithm defines a prior on sequences of disparity maps using a 3D Markov random fie...
Oliver M. C. Williams, Michael Isard, John MacCorm...
DAGM
2008
Springer
13 years 6 months ago
Resolution Enhancement of PMD Range Maps
Photonic mixer device (PMD) range cameras are becoming popular as an alternative to algorithmic 3D reconstruction but their main drawbacks are low-resolution (LR) and noise. Recent...
A. N. Rajagopalan, Arnav V. Bhavsar, Frank Wallhof...