3D Face Pose Tracking from Monocular Camera via Sparse Representation of Synthesized Faces

Ngoc-Trung Tran, Jacques Feldmar, Maurice Charbit, Dijana Petrovska-Delacrétaz, Gérard Chollet

2013

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.

Paper Citation

in Harvard Style

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 - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 328-333. DOI: 10.5220/0004345003280333

in Bibtex Style

@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 - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={328-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004345003280333},
isbn={978-989-8565-48-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - 3D Face Pose Tracking from Monocular Camera via Sparse Representation of Synthesized Faces
SN - 978-989-8565-48-8
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