Inspired by Bertillon - Recognition Based on Anatomical Features from 3D Face Scans

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU96114" target="_blank" >RIV/00216305:26230/11:PU96114 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Inspired by Bertillon - Recognition Based on Anatomical Features from 3D Face Scans
Original language description
We present an automatic 3D face recognition algorithm that is inspired by Alphonse Bertillon's anthropometry. Our recognition pipeline consists of several steps. First, the facial landmarks such as the tip of the nose or the inner eye corners are detected. Subsequently the head rotation is compensated during the orientation normalization process. The facial features are extracted by performing 61 different measures. We also present a feature evaluation function that rates individual components of the feature vector. Finally, our results are compared with two other 3D face recognition methods. We show that the multi-algorithmic system consisting of the anatomical-based recognition together with the eigenfaces method and the recognition using histogram-based features reaches significantly better results than any of the employed methods individually.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 3rd International Workshop on Security and Communication Networks
ISBN
978-82-91313-67-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
53-58
Publisher name
Gjovik University College
Place of publication
Gjovik
Event location
Gjovik
Event date
May 18, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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