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Authors: Marie-Anne Bauda 1 ; Sylvie Chambon 2 ; Pierre Gurdjos 2 and Vincent Charvillat 2

Affiliations: 1 University of Toulouse and imajing sas, France ; 2 University of Toulouse, France

Keyword(s): Image segmentation, Urban Scene, Planar classification, Image Quality Assessment.

Related Ontology Subjects/Areas/Topics: Applications ; Classification ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image Understanding ; Image-Based Modeling ; Pattern Recognition ; Similarity and Distance Learning ; Software Engineering ; Theory and Methods

Abstract: In the context of semantic segmentation of urban scenes, the calibrated multi-views and the flatness assumption are commonly used to estimate a warped image based on the homography estimation. In order to classify planar and non-planar areas, we propose an evaluation protocol that compares several Image Quality Assessments (IQA) between a reference zone and its warped zone. We show that cosine angle distance-based measures are more efficient than euclidean distance-based for the planar/non-planar classification and that the Universal Quality Image (UQI) measure outperforms the other evaluated measures.

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Paper citation in several formats:
Bauda, M.; Chambon, S.; Gurdjos, P. and Charvillat, V. (2015). Image Quality Assessment for Photo-consistency Evaluation on Planar Classification in Urban Scenes. In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-076-5; ISSN 2184-4313, SciTePress, pages 328-333. DOI: 10.5220/0005222603280333

@conference{icpram15,
author={Marie{-}Anne Bauda. and Sylvie Chambon. and Pierre Gurdjos. and Vincent Charvillat.},
title={Image Quality Assessment for Photo-consistency Evaluation on Planar Classification in Urban Scenes},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2015},
pages={328-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005222603280333},
isbn={978-989-758-076-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - Image Quality Assessment for Photo-consistency Evaluation on Planar Classification in Urban Scenes
SN - 978-989-758-076-5
IS - 2184-4313
AU - Bauda, M.
AU - Chambon, S.
AU - Gurdjos, P.
AU - Charvillat, V.
PY - 2015
SP - 328
EP - 333
DO - 10.5220/0005222603280333
PB - SciTePress

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