Effective Facial Feature Keypoint Detection Using Active Shape Models Composition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU87690" target="_blank" >RIV/00216305:26220/10:PU87690 - 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
Effective Facial Feature Keypoint Detection Using Active Shape Models Composition
Original language description
This paper deals with the proposal of effective system for facial feature keypoints detection in static images, where a composition of several Active Shape Models ASM is used. Shape of each facial feature (eyes, mouth, etc.) is represented by a minor model of facial feature keypoints and central positions of these minor models in a particular face are represented by a general model. This approach leads to fast convergence to appropriate result and allows using more complex keypoint descriptors extraction method for more reliable detection. In the paper an input image response on a set of the Gabor filters with the GentleBoost classification is used for that. Comparison of proposed system with standard ASM technique represented by stasm library is included in the end of the paper.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/OC08057" target="_blank" >OC08057: Analysis and Enhancement of Speech and Image Signals form Noise for Cross-Modal Analysis of Verbal and Non-verbal Communication</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
In Proceeding of the 33rd International Conference on Telecommunications and Signal Processing - TSP 2010
ISBN
978-963-88981-0-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Asszisztencia Szervezo Kft.
Place of publication
Neuveden
Event location
Baden
Event date
Aug 17, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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