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Authors: Ivan Cabezas and Maria Trujillo

Affiliation: Universidad del Valle, Colombia

Keyword(s): Computer vision, Stereo correspondence, Disparity estimation, Pareto dominance, Pareto optimal set.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Matching Correspondence and Flow ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Software Engineering ; Stereo Vision and Structure from Motion

Abstract: Performance evaluation of vision algorithms is a necessary step during a research process. It may supports inter and intra technique comparisons. A fair evaluation process requires of a methodology. Disparity estimation evaluation involves multiple aspects. However, conventional approaches rely on the use of a single value as an indicator of comparative performance. In this paper a non-linear quantitative evaluation approach for disparity estimation is introduced. It is supported by Pareto dominance and Pareto optimal set concepts. The proposed approach allows different evaluation scenarios, and offers advantages over traditional evaluation approaches. The experimental validation is conducted using ground truth data. Innovative results obtained by applying the proposed approach are presented and discussed.

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Paper citation in several formats:
Cabezas, I. and Trujillo, M. (2011). A NON-LINEAR QUANTITATIVE EVALUATION APPROACH FOR DISPARITY ESTIMATION - Pareto Dominance Applied in Stereo Vision. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP; ISBN 978-989-8425-47-8; ISSN 2184-4321, SciTePress, pages 704-709. DOI: 10.5220/0003374607040709

@conference{visapp11,
author={Ivan Cabezas. and Maria Trujillo.},
title={A NON-LINEAR QUANTITATIVE EVALUATION APPROACH FOR DISPARITY ESTIMATION - Pareto Dominance Applied in Stereo Vision},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP},
year={2011},
pages={704-709},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003374607040709},
isbn={978-989-8425-47-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP
TI - A NON-LINEAR QUANTITATIVE EVALUATION APPROACH FOR DISPARITY ESTIMATION - Pareto Dominance Applied in Stereo Vision
SN - 978-989-8425-47-8
IS - 2184-4321
AU - Cabezas, I.
AU - Trujillo, M.
PY - 2011
SP - 704
EP - 709
DO - 10.5220/0003374607040709
PB - SciTePress