Informační systém MU
FURMANOVÁ, Katarína. Visualization Techniques for 3D Facial Comparison. In Hans-Jörg Schulz, Bodo Urban, Uwe Freiherr von Lukas. Proceedings of the International Summer School on Visual Computing 2015. Stuttgart: Fraunhofer Verlag, 2015, s. 23-33. ISBN 978-3-8396-0960-6.
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Základní údaje
Originální název Visualization Techniques for 3D Facial Comparison
Autoři FURMANOVÁ, Katarína.
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
Změnil Změnila: RNDr. Katarína Furmanová, Ph.D., učo 374538. Změněno: 14. 1. 2019 11:26.
Anotace
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.
Anotace 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 MUNázev: 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
Zobrazeno: 24. 7. 2024 09:28