D 2015

Visualization Techniques for 3D Facial Comparison

FURMANOVÁ, Katarína

Basic information

Original name

Visualization Techniques for 3D Facial Comparison

Edition

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

Publisher

Fraunhofer Verlag

Other information

Type of outcome

Stať ve sborníku

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

ISBN

978-3-8396-0960-6

Tags

International impact, Reviewed
Změněno: 14/1/2019 11:26, RNDr. Katarína Furmanová, Ph.D.

Abstract

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.

In English

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.

Links

MUNI/A/1206/2014, interní kód MU
Name: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Acronym: SKOMU)
Investor: Masaryk University, Category A