D 2015

Visualization Techniques for 3D Facial Comparison

FURMANOVÁ, Katarína

Základní údaje

Originální název

Visualization Techniques for 3D Facial Comparison

Vydání

Stuttgart, Proceedings of the International Summer School on Visual Computing 2015, od s. 23-33, 11 s. 2015

Nakladatel

Fraunhofer Verlag

Další údaje

Typ výsledku

Stať ve sborníku

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

ISBN

978-3-8396-0960-6

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 14. 1. 2019 11:26, RNDr. Katarína Furmanová, Ph.D.

Anotace

V originále

Facial analysis and comparison form a substantial part of many research areas, such as security, medicine or psychology. 3D representations of facial images carry a lot of information beneficial to the researchers. However, comparing 3D shapes is not an easy task. Suitable visual representation of the data can help and simplify the work immensely. In this paper I therefore focus on visualization techniques for 3D facial data, specifically for its analysis and comparison. I present three different visualization methods suitable for pairwise comparison as well as for the analysis of large datasets. My methods target the typical tasks performed by the domain experts when conducting their research. The proposed visualizations were evaluated by experts working in the facial analysis area.

Anglicky

Facial analysis and comparison form a substantial part of many research areas, such as security, medicine or psychology. 3D representations of facial images carry a lot of information beneficial to the researchers. However, comparing 3D shapes is not an easy task. Suitable visual representation of the data can help and simplify the work immensely. In this paper I therefore focus on visualization techniques for 3D facial data, specifically for its analysis and comparison. I present three different visualization methods suitable for pairwise comparison as well as for the analysis of large datasets. My methods target the typical tasks performed by the domain experts when conducting their research. The proposed visualizations were evaluated by experts working in the facial analysis area.

Návaznosti

MUNI/A/1206/2014, interní kód MU
Název: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Akronym: SKOMU)
Investor: Masarykova univerzita, Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty