Forensic 3D facial identication software (FIDENTIS)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00082105" target="_blank" >RIV/00216224:14330/14:00082105 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Forensic 3D facial identication software (FIDENTIS)

Popis výsledku v původním jazyce

This presentation introduces a novel software tool for forensic 3D facial identification, called FIDENTIS. FIDENTIS is multi-platform open-source software written in Java for which source code, binaries and documentation are freely available at http://fidentis.cz. It serves for the analysis of human faces while enabling to perform a variety of expertize- and/or research-oriented tasks which can become challenging for forensic analysts dealing with facial portrait identification in the threedimensional digital environment (e.g., forensic anthropologists, forensic pathologists). These tasks include comparing two or multiple faces, quantifying the magnitude of dis/similarities between faces, creating 3D facial composites from selected parts of the faces or analyzing sets of faces in order to detect specific biological or other dependencies (e.g., inter-population variations, sex-related characteristics etc.).

Název v anglickém jazyce

Forensic 3D facial identication software (FIDENTIS)

Popis výsledku anglicky

This presentation introduces a novel software tool for forensic 3D facial identification, called FIDENTIS. FIDENTIS is multi-platform open-source software written in Java for which source code, binaries and documentation are freely available at http://fidentis.cz. It serves for the analysis of human faces while enabling to perform a variety of expertize- and/or research-oriented tasks which can become challenging for forensic analysts dealing with facial portrait identification in the threedimensional digital environment (e.g., forensic anthropologists, forensic pathologists). These tasks include comparing two or multiple faces, quantifying the magnitude of dis/similarities between faces, creating 3D facial composites from selected parts of the faces or analyzing sets of faces in order to detect specific biological or other dependencies (e.g., inter-population variations, sex-related characteristics etc.).

Druh

O - Ostatní výsledky

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů