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Real-time epipolar geometry estimation and disparity

Many visual tasks, such as recognition and visually guided manipulation, benefit from the use of binocular stereo with dynamic vergence. In order to achieve this the epipolar geometry of the two cameras has to be known. In this article we present a system capable of estimating the epipolar geometry...

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Main Authors: Bjorkmann, M., Eklundh, J.-O.
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Language:English
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Eklundh, J.-O.
description Many visual tasks, such as recognition and visually guided manipulation, benefit from the use of binocular stereo with dynamic vergence. In order to achieve this the epipolar geometry of the two cameras has to be known. In this article we present a system capable of estimating the epipolar geometry of a stereo-head and calculating the binocular disparities in real-time producing dense disparity maps that, for example, can be used for figure-ground segmentation. The number of degrees of freedom has been minimized, without affecting the flexibility of the stereo-head, speeding up the process considerably.
doi_str_mv 10.1109/ICCV.1999.791225
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identifier ISBN: 9780769501642
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Applied sciences
Artificial intelligence
Cameras
Computer science
control theory
systems
Computer vision
Control theory. Systems
Electrical capacitance tomography
Exact sciences and technology
Geometry
Head
Laboratories
Machine vision
Manipulator dynamics
Numerical analysis
Pattern recognition. Digital image processing. Computational geometry
Read only memory
Robotics
title Real-time epipolar geometry estimation and disparity
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