Laplacian Unitary Domain for Texture Morphing

Antoni Gurguí; Debora Gil; Enric Martí

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Paper

Laplacian Unitary Domain for Texture Morphing

Topics: Face and Expression Recognition; Image Generation Pipeline: Algorithms and Techniques; Image Registration; Shape Representation and Matching

In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 693-699, 2015 , Berlin, Germany

Authors: Antoni Gurguí ; Debora Gil and Enric Martí

Affiliation: Universitat Autònoma de Barcelona, Spain

Keyword(s): Facial Metamorphosis, Morphing, Laplacian.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Generation Pipeline: Algorithms and Techniques ; Image Registration ; Shape Representation and Matching

Abstract: Deformation of expressive textures is the gateway to realistic computer synthesis of expressions. By their good mathematical properties and flexible formulation on irregular meshes, most texture mappings rely on solutions to the Laplacian in the cartesian space. In the context of facial expression morphing, this approximation can be seen from the opposite point of view by neglecting the metric. In this paper, we use the properties of the Laplacian in manifolds to present a novel approach to warping expressive facial images in order to generate a morphing between them.

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Paper citation in several formats:

Gurguí, A.; Gil, D. and Martí, E. (2015). Laplacian Unitary Domain for Texture Morphing. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP; ISBN 978-989-758-089-5; ISSN 2184-4321, SciTePress, pages 693-699. DOI: 10.5220/0005362206930699

@conference{visapp15,
author={Antoni Gurguí. and Debora Gil. and Enric Martí.},
title={Laplacian Unitary Domain for Texture Morphing},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP},
year={2015},
pages={693-699},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005362206930699},
isbn={978-989-758-089-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP
TI - Laplacian Unitary Domain for Texture Morphing
SN - 978-989-758-089-5
IS - 2184-4321
AU - Gurguí, A.
AU - Gil, D.
AU - Martí, E.
PY - 2015
SP - 693
EP - 699
DO - 10.5220/0005362206930699
PB - SciTePress