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.
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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
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Slovakia
Confidentiality degree is not subject to a state or trade secret
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;
Tags best2
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 1/4/2021 11:56.
Abstract
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.
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