Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107193
Title: Facial landmark localization by curvature maps and profile analysis
Authors: Lippold, Carsten
Liu, Xiang
Wangdo, Kim
Drerup, Burkhard
Schreiber, Kristina
Kirschneck, Christian
Moiseenko, Tatjana
Danesh, Gholamreza
Keywords: DRNTU::Science::Biological sciences::Human anatomy and physiology::Human anatomy
Issue Date: 2014
Source: Lippold, C., Liu, X., Wangdo, K., Drerup, B., Schreiber, K., Kirschneck, C., et al. (2014). Facial landmark localization by curvature maps and profile analysis. Head & face medicine, 10(1).
Series/Report no.: Head & face medicine
Abstract: Introduction: Three-dimensional landmarks of the face are important for orthodontic examination, harmony assessment and treatment planning. Currently, facial landmarks are often measured by orthodontists via direct observation and manual soft tissue image analysis. This study wants to evaluate and present an objective method for measuring selected facial landmarks based on an analysis of curvature maps and of sagittal profile obtained by a laser-scanning method. Methods: The faces of 15 people were scanned in 3D by means of the laser scanner FastSCAN™. It allowed the recording of a curvature map of the face in under a minute, which depicted the distribution of Gaussian and mean curvatures. The median-sagittal profile line of the face was localized in this map, and a mathematical analysis comprising its first and second derivatives was performed. Anatomical landmarks were identified and facial measurements performed. To assess validity the obtained data were compared with manual measurements by orthodontists by means of Lin’s concordance correlation CCC coefficient and reliability was determined by consecutive measurements. Results: Facial landmarks, such as the soft tissue glabella and nasal tip, could be easily and accurately identified and located. Lin’s CCC showed substantial agreement between digital and manual measurements for 4 of the 7 distances evaluated. Larger discrepancies were due to inadequate image quality and scanning errors. Reliability of consecutive measurements by the same operator was excellent. Conclusions: In our pilot study the three-dimensional laser-scanning method FastSCAN™ allowed a reliable and accurate identification of anatomical landmarks of the face. The obtained distances between certain landmarks, such as the intercanthal distance, were largely consistent with those from manual measurements. Due to its easy and rapid implementation, the method facilitates facial analysis and could be a clinically valid alternative to manual measurements, when remaining problems in scanning accuracy can be resolved.
URI: https://hdl.handle.net/10356/107193
http://hdl.handle.net/10220/25388
ISSN: 1746-160X
DOI: 10.1186/1746-160X-10-54
Schools: School of Mechanical and Aerospace Engineering 
Rights: © 2014 Lippold et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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