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Authors: Michal Uřičař ; Vojtěch Franc and Václav Hlaváč

Affiliation: Czech Technical University in Prague, Czech Republic

ISBN: 978-989-8565-03-7

Keyword(s): Facial Landmark Detection, Structured Output Classification, Support Vector Machines, Deformable Part Models.

Abstract: In this paper we describe a detector of facial landmarks based on the Deformable Part Models. We treat the task of landmark detection as an instance of the structured output classification problem. We propose to learn the parameters of the detector from data by the Structured Output Support Vector Machines algorithm. In contrast to the previous works, the objective function of the learning algorithm is directly related to the performance of the resulting detector which is controlled by a user-defined loss function. The resulting detector is real-time on a standard PC, simple to implement and it can be easily modified for detection of a different set of landmarks. We evaluate performance of the proposed landmark detector on a challenging “Labeled Faces in the Wild” (LFW) database. The empirical results demonstrate that the proposed detector is consistently more accurate than two public domain implementations based on the Active Appearance Models and the Deformable Part Models. We provi de an open-source implementation of the proposed detector and the manual annotation of the facial landmarks for all images in the LFW database. (More)

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Paper citation in several formats:
Uřičař M., Franc V. and Hlaváč V. (2012). DETECTOR OF FACIAL LANDMARKS LEARNED BY THE STRUCTURED OUTPUT SVM.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 547-556. DOI: 10.5220/0003863705470556

@conference{visapp12,
author={Michal Uřičař and Vojtěch Franc and Václav Hlaváč},
title={DETECTOR OF FACIAL LANDMARKS LEARNED BY THE STRUCTURED OUTPUT SVM},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={547-556},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003863705470556},
isbn={978-989-8565-03-7},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - DETECTOR OF FACIAL LANDMARKS LEARNED BY THE STRUCTURED OUTPUT SVM
SN - 978-989-8565-03-7
AU - Uřičař M.
AU - Franc V.
AU - Hlaváč V.
PY - 2012
SP - 547
EP - 556
DO - 10.5220/0003863705470556

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