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Authors: Meng Yu and Bernard Tiddeman

Affiliation: School of Computer Science, University of St. Andrews, United Kingdom

ISBN: 978-989-674-029-0

Keyword(s): Active appearance models, Multi-view face models, Constrained local model, Face feature tracking, Face feature detection.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Early Vision and Image Representation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image and Video Analysis ; Image Registration ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: In this paper we describe a system for facial feature detection and tracking using a 3D extension of the Constrained Local Model (CLM) (Cristinacce and Cootes, 2006) algorithm. The use of a 3D shape model allows improved tracking through large head rotations. CLM uses a shape and texture appearance model to generate a set of region template detectors. A search is then performed in the global pose / shape space using these detectors. The proposed extension uses multiple appearance models from different viewpoints and a single 3D shape model built using Principal Geodesic Analysis (PGA) (Fletcher et al., 2004) instead of direct Principal Components Analysis (PCA). During fitting or tracking the current estimate of pose is used to select the appropriate appearance model. We demonstrate our results by fitting the model to image sequences with large head rotations. The results show that the proposed multi-view 3D CLM algorithm using PGA improves the performance of the algorithm using PCA f or tracking faces in videos with large out-of-plane head rotations. (More)

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Paper citation in several formats:
Yu M.; Tiddeman B. and (2010). FACE DETECTION AND TRACKING WITH 3D PGA CLM.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 44-53. DOI: 10.5220/0002829800440053

@conference{visapp10,
author={Meng Yu and Bernard Tiddeman},
title={FACE DETECTION AND TRACKING WITH 3D PGA CLM},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={44-53},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002829800440053},
isbn={978-989-674-029-0},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - FACE DETECTION AND TRACKING WITH 3D PGA CLM
SN - 978-989-674-029-0
AU - Yu, M.
AU - Tiddeman, B.
PY - 2010
SP - 44
EP - 53
DO - 10.5220/0002829800440053

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