Detector of Facial Landmarks Learned by the Structured Output SVM
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200340" target="_blank" >RIV/68407700:21230/12:00200340 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Detector of Facial Landmarks Learned by the Structured Output SVM
Original language description
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 fromdata 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 pr
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
VISAPP 2012: Proceedings of the 7th International Conference on Computer Vision Theory and Applications
ISBN
978-989-8565-03-7
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
547-556
Publisher name
SciTePress - Science and Technology Publications
Place of publication
Porto
Event location
Rome
Event date
Feb 24, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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