Facial Landmarks Detector 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%2F13%3A00211709" target="_blank" >RIV/68407700:21230/13:00211709 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-642-38241-3_26" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-642-38241-3_26</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-38241-3_26" target="_blank" >10.1007/978-3-642-38241-3_26</a>
Alternative languages
Result language
angličtina
Original language name
Facial Landmarks Detector Learned by the Structured Output SVM
Original language description
We propose a principled approach to supervised learning of facial landmarks detector based on the Deformable Part Models (DPM). We treat the task of landmarks detection as an instance of the structured output classification. To learn the parameters of the detector we use the Structured Output Support Vector Machines algorithm. The objective function of the learning algorithm is directly related to the performance of the detector and controlled by the user-defined loss function, in contrast to the previous works. Our proposed detector is real-time on a standard computer, simple to implement and easily modifiable for detection of various set of landmarks. We evaluate the performance of our detector on a challenging ``Labeled Faces in the Wild'' (LFW) database. The empirical results show that our detector consistently outperforms two public domain implementations based on the Active Appearance Models and the DPM. We are releasing open-source code implementing our proposed detector along w
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Computer Vision, Imaging and Computer Graphics. Theory and Application
ISBN
978-3-642-38240-6
Number of pages of the result
16
Pages from-to
383-398
Number of pages of the book
446
Publisher name
Springer
Place of publication
Heidelberg
UT code for WoS chapter
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