Performance of distance-based matching algorithms in 3D facial identification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F16%3A00090192" target="_blank" >RIV/00216224:14310/16:00090192 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ejfs.2016.04.004" target="_blank" >http://dx.doi.org/10.1016/j.ejfs.2016.04.004</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ejfs.2016.04.004" target="_blank" >10.1016/j.ejfs.2016.04.004</a>

Result language
angličtina
Original language name
Performance of distance-based matching algorithms in 3D facial identification
Original language description
Facial image identification is an area of forensic sciences, where an expert provides an opinion on whether or not two or more images depict the same individual. The primary concern for facial image identification is that it must be based on sound scientific principles. The recent extensive development in 3D recording technology, which is presumed to enhance performances of identification tasks, has made essential to question conditions, under which 3D images can yield accurate and reliable results. The present paper explores the effect of mesh resolution, adequacy of selected measures of dissimilarity and number of variables employed to encode identity-specific facial features on a dataset of 528 3D face models sampled from the Fidentis 3D Face Database (N=2100).
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AC - Archaeology, anthropology, ethnology
OECD FORD branch
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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