DETECTOR OF FACIAL LANDMARKS LEARNED BY THE STRUCTURED OUTPUT SVM

Michal Uřičař, Vojtěch Franc, Václav Hlaváč

2012

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 provide an open-source implementation of the proposed detector and the manual annotation of the facial landmarks for all images in the LFW database.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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