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Authors: Ngoc-Trung Tran 1 ; Jacques Feldmar 2 ; Maurice Charbit 2 ; Dijana Petrovska-Delacrétaz 1 and Gérard Chollet 2

Affiliations: 1 Telecom Sudparis, France ; 2 Telecom ParisTech, France

Keyword(s): Pose Tracking, Pose Estimation, Sparse Representation.

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

Abstract: This paper presents a new method to track head pose efficiently from monocular camera via sparse representation of synthesized faces. In our framework, the appearance model is trained using a database of synthesized face generated from the first video frame. The pose estimation is based on the similarity distance between the observations of landmarks and their reconstructions. The reconstruction is the texture extracted around the landmark, represented as a sparse linear combination of positive training samples after solving l1-norm problem. The approach finds the position of new landmarks and face pose by minimizing an energy function as the sum of these distances while simultaneously constraining the shape by a 3D face. Our framework gives encouraging pose estimation results on the Boston University Face Tracking (BUFT) dataset.

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Paper citation in several formats:
Tran, N.; Feldmar, J.; Charbit, M.; Petrovska-Delacrétaz, D. and Chollet, G. (2013). 3D Face Pose Tracking from Monocular Camera via Sparse Representation of Synthesized Faces. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP; ISBN 978-989-8565-48-8; ISSN 2184-4321, SciTePress, pages 328-333. DOI: 10.5220/0004345003280333

@conference{visapp13,
author={Ngoc{-}Trung Tran. and Jacques Feldmar. and Maurice Charbit. and Dijana Petrovska{-}Delacrétaz. and Gérard Chollet.},
title={3D Face Pose Tracking from Monocular Camera via Sparse Representation of Synthesized Faces},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={328-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004345003280333},
isbn={978-989-8565-48-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP
TI - 3D Face Pose Tracking from Monocular Camera via Sparse Representation of Synthesized Faces
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Tran, N.
AU - Feldmar, J.
AU - Charbit, M.
AU - Petrovska-Delacrétaz, D.
AU - Chollet, G.
PY - 2013
SP - 328
EP - 333
DO - 10.5220/0004345003280333
PB - SciTePress

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