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Authors: Jerome Thevenon ; Jesus Martinez-del-Rincon ; Romain Dieny and Jean-Christophe Nebel

Affiliation: Kingston University, United Kingdom

Keyword(s): Stereo Correspondence, Dynamic Programming, Unrectified Images, Distorted Images.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Stereo Vision and Structure from Motion

Abstract: In this paper, a novel framework for dense pixel matching based on dynamic programming is introduced. Unlike most techniques proposed in the literature, our approach assumes neither known camera geometry nor the availability of rectified images. Under such conditions, the matching task cannot be reduced to finding correspondences between a pair of scanlines. We propose to extend existing dynamic programming methodologies to a larger dimensional space by using a 3D scoring matrix so that correspondences between a line and a whole image can be calculated. After assessing our framework on a standard evaluation dataset of rectified stereo images, experiments are conducted on unrectified and non-linearly distorted images. Results validate our new approach and reveal the versatility of our algorithm.

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Paper citation in several formats:
Thevenon, J.; Martinez-del-Rincon, J.; Dieny, R. and Nebel, J. (2012). DENSE PIXEL MATCHING BETWEEN UNRECTIFIED AND DISTORTED IMAGES USING DYNAMIC PROGRAMMING. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP; ISBN 978-989-8565-04-4; ISSN 2184-4321, SciTePress, pages 216-224. DOI: 10.5220/0003812602160224

@conference{visapp12,
author={Jerome Thevenon. and Jesus Martinez{-}del{-}Rincon. and Romain Dieny. and Jean{-}Christophe Nebel.},
title={DENSE PIXEL MATCHING BETWEEN UNRECTIFIED AND DISTORTED IMAGES USING DYNAMIC PROGRAMMING},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP},
year={2012},
pages={216-224},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003812602160224},
isbn={978-989-8565-04-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP
TI - DENSE PIXEL MATCHING BETWEEN UNRECTIFIED AND DISTORTED IMAGES USING DYNAMIC PROGRAMMING
SN - 978-989-8565-04-4
IS - 2184-4321
AU - Thevenon, J.
AU - Martinez-del-Rincon, J.
AU - Dieny, R.
AU - Nebel, J.
PY - 2012
SP - 216
EP - 224
DO - 10.5220/0003812602160224
PB - SciTePress

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