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Authors: Fadi Dornaika and Angel D. Sappa

Affiliation: Computer Vision Center, Spain

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): 3D face tracking, adaptive appearance models, evaluation, stereo, robust 3D registration.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Methodologies and Methods ; Model-Based Object Tracking in Image Sequences ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems

Abstract: Recently, researchers proposed deterministic and statistical appearance-based 3D head tracking methods which can successfully tackle the image variability and drift problems. However, appearance-based methods dedicated to 3D head tracking may suffer from inaccuracies since these methods are not very sensitive to out-of-plane motion variations. On the other hand, the use of dense 3D facial data provided by a stereo rig or a range sensor can provide very accurate 3D head motions/poses. However, this paradigm requires either an accurate facial feature extraction or a computationally expensive registration technique (e.g., the Iterative Closest Point algorithm). In this paper, we improve our appearance-based 3D face tracker by combining an adaptive appearance model with a robust 3D-to-3D registration technique that uses sparse stereo data. The resulting 3D face tracker combines the advantages of both appearance-based trackers and 3D data-based trackers while keeping the CPU time very clos e to that required by real-time trackers. We provide experiments and performance evaluation which show the feasibility and usefulness of the proposed approach. (More)

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Paper citation in several formats:
Dornaika, F. and D. Sappa, A. (2006). IMPROVING APPEARANCE-BASED 3D FACE TRACKING USING SPARSE STEREO DATA.In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 310-317. DOI: 10.5220/0001364003100317

@conference{visapp06,
author={Fadi Dornaika and Angel {D. Sappa}},
title={IMPROVING APPEARANCE-BASED 3D FACE TRACKING USING SPARSE STEREO DATA},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={310-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001364003100317},
isbn={972-8865-40-6},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - IMPROVING APPEARANCE-BASED 3D FACE TRACKING USING SPARSE STEREO DATA
SN - 972-8865-40-6
AU - Dornaika, F.
AU - D. Sappa, A.
PY - 2006
SP - 310
EP - 317
DO - 10.5220/0001364003100317

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