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Authors: Nagore Barrena 1 ; Jairo Roberto Sánchez 1 and Alejandro García-Alonso 2

Affiliations: 1 Vicomtech-IK4, Spain ; 2 University of the Basque Country, Spain

Keyword(s): Surface Normal, Template Matching, Markerless Tracking.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Pattern Recognition ; Software Engineering ; Tracking and Visual Navigation

Abstract: This paper presents an algorithm which is an improvement of the template matching technique. The main goal of the algorithm is to match 3D points with their corresponding 2D points in the images. In the presented method, each 3D point is enriched with a normal vector that approximates the orientation of the surface where the 3D point is lying. This normal improves the transfer process of patches providing more precise warped patches, because perspective deformation is taken into account. The results obtained with the proposed transfer method confirm that matching is more accurate than traditional approaches.

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Paper citation in several formats:
Barrena, N.; Sánchez, J. and García-Alonso, A. (2015). WaPT - Surface Normal Estimation for Improved Template Matching in Visual Tracking. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP; ISBN 978-989-758-091-8; ISSN 2184-4321, SciTePress, pages 496-503. DOI: 10.5220/0005295104960503

@conference{visapp15,
author={Nagore Barrena. and Jairo Roberto Sánchez. and Alejandro García{-}Alonso.},
title={WaPT - Surface Normal Estimation for Improved Template Matching in Visual Tracking},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP},
year={2015},
pages={496-503},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005295104960503},
isbn={978-989-758-091-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP
TI - WaPT - Surface Normal Estimation for Improved Template Matching in Visual Tracking
SN - 978-989-758-091-8
IS - 2184-4321
AU - Barrena, N.
AU - Sánchez, J.
AU - García-Alonso, A.
PY - 2015
SP - 496
EP - 503
DO - 10.5220/0005295104960503
PB - SciTePress

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