Automated facial landmark detection, comparison and
visualization

D 2015

Automated facial landmark detection, comparison and visualization

GALVÁNEK, Marek, Katarína FURMANOVÁ, Igor CHALÁS and Jiří SOCHOR

Basic information

Original name

Automated facial landmark detection, comparison and visualization

Authors

GALVÁNEK, Marek (703 Slovakia, belonging to the institution), Katarína FURMANOVÁ (703 Slovakia, belonging to the institution), Igor CHALÁS (703 Slovakia, belonging to the institution) and Jiří SOCHOR (203 Czech Republic, guarantor, belonging to the institution)

Edition

Bratislava, Slovakia, Proceedings of the 31st Spring Conference on Computer Graphics, p. 7-14, 8 pp. 2015

Publisher

ACM

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Slovakia

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/00216224:14330/15:00082916

Organization unit

Faculty of Informatics

ISBN

978-1-4503-3693-2

DOI

http://dx.doi.org/10.1145/2788539.2788540

UT WoS

000380609300001

Keywords in English

facial landmarks;landmark detection;facial comparison;

Abstract

V originále

Anthropometric facial landmarks and their detection has wide application in anthropology and forensic science. More specifically, these landmarks play an important role in facial comparison, in the analysis of morphological changes during human growth and in searching for the variability of human faces (e.g., sexual dimorphism). The automatic extraction of landmarks is a challenging area and specific visualization methods serving for the comparison are crucial for the correct interpretation of the results. In this paper we introduce a novel system which incorporates a newly proposed algorithm for automatic landmark detection. The algorithm is based on surface curvature and symmetric profile extraction. The landmarks are then used in the Generalized Procrustes analysis for facial comparison. Our system also introduces appropriate visualization methods supporting the presentation and understandability of the results.

Citovat

GALVÁNEK, Marek, Katarína FURMANOVÁ, Igor CHALÁS and Jiří SOCHOR. Automated facial landmark detection, comparison and visualization. In Joaquim Jorge, Luis Paulo Santos, Roman Ďurikovič. Proceedings of the 31st Spring Conference on Computer Graphics. Bratislava, Slovakia: ACM, 2015, p. 7-14. ISBN 978-1-4503-3693-2. Available from: https://dx.doi.org/10.1145/2788539.2788540.

@inproceedings{1299691,
   author = {Galvánek, Marek and Furmanová, Katarína and Chalás, Igor and Sochor, Jiří},
   address = {Bratislava, Slovakia},
   booktitle = {Proceedings of the 31st Spring Conference on Computer Graphics},
   doi = {http://dx.doi.org/10.1145/2788539.2788540},
   editor = {Joaquim Jorge, Luis Paulo Santos, Roman Ďurikovič},
   keywords = {facial landmarks;landmark detection;facial comparison;},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Bratislava, Slovakia},
   isbn = {978-1-4503-3693-2},
   pages = {7-14},
   publisher = {ACM},
   title = {Automated facial landmark detection, comparison and visualization},
   year = {2015}
}

TY  - JOUR
ID  - 1299691
AU  - Galvánek, Marek - Furmanová, Katarína - Chalás, Igor - Sochor, Jiří
PY  - 2015
TI  - Automated facial landmark detection, comparison and visualization
PB  - ACM
CY  - Bratislava, Slovakia
SN  - 9781450336932
KW  - facial landmarks;landmark detection;facial comparison;
N2  - Anthropometric facial landmarks and their detection has wide application in anthropology and forensic science. More specifically, these landmarks play an important role in facial comparison, in the analysis of morphological changes during human growth and in searching for the variability of human faces (e.g., sexual dimorphism). The automatic extraction of landmarks is a challenging area and specific visualization methods serving for the comparison are crucial for the correct interpretation of the results. In this paper we introduce a novel system which incorporates a newly proposed algorithm for automatic landmark detection. The algorithm is based on surface curvature and symmetric profile extraction. The landmarks are then used in the Generalized Procrustes analysis for facial comparison. Our system also introduces appropriate visualization methods supporting the presentation and understandability of the results.
ER  -

GALVÁNEK, Marek, Katarína FURMANOVÁ, Igor CHALÁS and Jiří SOCHOR. Automated facial landmark detection, comparison and visualization. In Joaquim Jorge, Luis Paulo Santos, Roman Ďurikovič. \textit{Proceedings of the 31st Spring Conference on Computer Graphics}. Bratislava, Slovakia: ACM, 2015, p.~7-14. ISBN~978-1-4503-3693-2. Available from: https://dx.doi.org/10.1145/2788539.2788540.

Detailed Information on Publication Record