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AnthroVis: Visual Analysis of 3D Mesh Ensembles for Forensic Anthropology

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00097006" target="_blank" >RIV/00216224:14330/17:00097006 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://dx.doi.org/10.1145/3154353.3154363" target="_blank" >http://dx.doi.org/10.1145/3154353.3154363</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3154353.3154363" target="_blank" >10.1145/3154353.3154363</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    AnthroVis: Visual Analysis of 3D Mesh Ensembles for Forensic Anthropology

  • Popis výsledku v původním jazyce

    Digital approaches to shape comparison and analysis play a very important role in forensic anthropology. New methods are still emerging and the whole area is experiencing a shift from traditional 2D image data to processing of 3D meshes. Therefore, the visual exploration of 3D meshes and methods for their visual comparison play a crucial role in the anthropological research. In our paper we present a novel AnthroVis tool for visual analysis of 3D mesh ensembles, which was designed in tight cooperation with the domain experts. It aims to enhance their workflow by introducing several visualizations that help to understand the similarities and differences between 3D meshes. AnthroVis in general consists of three methods, which serve as a guidance in the process of the comparison of two or more mesh ensembles. The first method, based on the idea of interactive heat plots, provides an overview of pairwise comparisons in a set of analyzed meshes and enables their filtering and sorting. The second method consists of anthropologically relevant cross-cuts indicating the variability through the set of meshes. The last method uses superimposition principle for pairs of meshes equipped with several visual enhancements indicating local mesh differences in three-dimensional space. The domain expert evaluation was performed primarily on facial images, but the tool proved to be applicable to other areas of forensic anthropology as well. Its usefulness is demonstrated by three case studies describing the real situations and problems encountered by anthropologists in forensic casework.

  • Název v anglickém jazyce

    AnthroVis: Visual Analysis of 3D Mesh Ensembles for Forensic Anthropology

  • Popis výsledku anglicky

    Digital approaches to shape comparison and analysis play a very important role in forensic anthropology. New methods are still emerging and the whole area is experiencing a shift from traditional 2D image data to processing of 3D meshes. Therefore, the visual exploration of 3D meshes and methods for their visual comparison play a crucial role in the anthropological research. In our paper we present a novel AnthroVis tool for visual analysis of 3D mesh ensembles, which was designed in tight cooperation with the domain experts. It aims to enhance their workflow by introducing several visualizations that help to understand the similarities and differences between 3D meshes. AnthroVis in general consists of three methods, which serve as a guidance in the process of the comparison of two or more mesh ensembles. The first method, based on the idea of interactive heat plots, provides an overview of pairwise comparisons in a set of analyzed meshes and enables their filtering and sorting. The second method consists of anthropologically relevant cross-cuts indicating the variability through the set of meshes. The last method uses superimposition principle for pairs of meshes equipped with several visual enhancements indicating local mesh differences in three-dimensional space. The domain expert evaluation was performed primarily on facial images, but the tool proved to be applicable to other areas of forensic anthropology as well. Its usefulness is demonstrated by three case studies describing the real situations and problems encountered by anthropologists in forensic casework.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2017

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Proceedings of the 33rd Spring Conference on Computer Graphics

  • ISBN

    9781450351072

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    9

  • Strana od-do

    171-179

  • Název nakladatele

    Brno University of Technology

  • Místo vydání

    Brno, Czech Republic

  • Místo konání akce

    Mikulov

  • Datum konání akce

    15. 5. 2017

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku