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

D 2017

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

FURMANOVÁ, Katarína, Petra URBANOVÁ a Barbora KOZLÍKOVÁ

Základní údaje

Originální název

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

Autoři

FURMANOVÁ, Katarína (703 Slovensko, domácí), Petra URBANOVÁ (203 Česká republika, domácí) a Barbora KOZLÍKOVÁ (203 Česká republika, domácí)

Vydání

Brno, Czech Republic, Proceedings of the 33rd Spring Conference on Computer Graphics, od s. 171-179, 9 s. 2017

Nakladatel

ACM

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

paměťový nosič (CD, DVD, flash disk)

Kód RIV

RIV/00216224:14330/17:00097006

Organizační jednotka

Fakulta informatiky

ISBN

978-1-4503-5107-2

DOI

http://dx.doi.org/10.1145/3154353.3154363

Klíčová slova anglicky

3D mesh comparison; heat plot; cross-cut; forensic anthropology;

Změněno: 31. 3. 2021 14:57, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Citovat

FURMANOVÁ, Katarína, Petra URBANOVÁ a Barbora KOZLÍKOVÁ. AnthroVis: Visual Analysis of 3D Mesh Ensembles for Forensic Anthropology. In Vítezslav Beran, Pavel Zemcík, Ivan Viola, Jirí Bittner, Jaroslav Rozman. Proceedings of the 33rd Spring Conference on Computer Graphics. Brno, Czech Republic: ACM, 2017, s. 171-179. ISBN 978-1-4503-5107-2. Dostupné z: https://dx.doi.org/10.1145/3154353.3154363.

@inproceedings{1383272,
   author = {Furmanová, Katarína and Urbanová, Petra and Kozlíková, Barbora},
   address = {Brno, Czech Republic},
   booktitle = {Proceedings of the 33rd Spring Conference on Computer Graphics},
   doi = {http://dx.doi.org/10.1145/3154353.3154363},
   editor = {Vítezslav Beran, Pavel Zemcík, Ivan Viola, Jirí Bittner, Jaroslav Rozman},
   keywords = {3D mesh comparison; heat plot; cross-cut; forensic anthropology;},
   howpublished = {paměťový nosič},
   language = {eng},
   location = {Brno, Czech Republic},
   isbn = {978-1-4503-5107-2},
   pages = {171-179},
   publisher = {ACM},
   title = {AnthroVis: Visual Analysis of 3D Mesh Ensembles for Forensic Anthropology},
   year = {2017}
}

TY  - JOUR
ID  - 1383272
AU  - Furmanová, Katarína - Urbanová, Petra - Kozlíková, Barbora
PY  - 2017
TI  - AnthroVis: Visual Analysis of 3D Mesh Ensembles for Forensic Anthropology
PB  - ACM
CY  - Brno, Czech Republic
SN  - 9781450351072
KW  - 3D mesh comparison
KW  - heat plot
KW  - cross-cut
KW  - forensic anthropology;
N2  - 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.
ER  -

FURMANOVÁ, Katarína, Petra URBANOVÁ a Barbora KOZLÍKOVÁ. AnthroVis: Visual Analysis of 3D Mesh Ensembles for Forensic Anthropology. In Vítezslav Beran, Pavel Zemcík, Ivan Viola, Jirí Bittner, Jaroslav Rozman. \textit{Proceedings of the 33rd Spring Conference on Computer Graphics}. Brno, Czech Republic: ACM, 2017, s.~171-179. ISBN~978-1-4503-5107-2. Dostupné z: https://dx.doi.org/10.1145/3154353.3154363.

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