Curvature-Based Feature Detection for Head Modeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932148" target="_blank" >RIV/49777513:23520/17:43932148 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.procs.2017.05.105" target="_blank" >http://dx.doi.org/10.1016/j.procs.2017.05.105</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2017.05.105" target="_blank" >10.1016/j.procs.2017.05.105</a>
Alternative languages
Result language
angličtina
Original language name
Curvature-Based Feature Detection for Head Modeling
Original language description
In the field of 3D head modeling and animation, feature points are often needed to mark important regions of the face and can be used to animate or deform the input model. However, an automatic detection of features remains a challenging task. This paper presents a novel approach to feature detection based on curvature and its derived descriptors, such as shape index, curvedness and Willmore energy. Four important feature regions are detected using the proposed approach - eyes, nose, mouth, ears. For each region, feature points are detected. Results show that the feature points are detected with sufficient accuracy for further use.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Procedia Computer Science 108C
ISBN
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ISSN
1877-0509
e-ISSN
neuvedeno
Number of pages
5
Pages from-to
2323-2327
Publisher name
Elsevier
Place of publication
Zurich
Event location
Zurich
Event date
Jun 12, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000404959000244