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The definitions of three-dimensional landmarks on the human face: an interdisciplinary view
S. Katina, K. McNeil, A. Ayoub, B. Guilfoyle, B. Khambay, P. Siebert, F. Sukno, M. Rojas, L. Vittert, J. Waddington, PF. Whelan, AW. Bowman,
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Free Medical Journals
od 1916 do Před 2 roky
PubMed Central
od 1916 do Před 2 roky
Europe PubMed Central
od 1916 do Před 2 roky
Wiley Free Content
od 1997 do Před 2 roky
PubMed
26659272
DOI
10.1111/joa.12407
Knihovny.cz E-zdroje
- MeSH
- anatomická značka MeSH
- kefalometrie metody MeSH
- lidé MeSH
- obličej anatomie a histologie MeSH
- počítačové zpracování obrazu MeSH
- zobrazování trojrozměrné metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
The analysis of shape is a key part of anatomical research and in the large majority of cases landmarks provide a standard starting point. However, while the technology of image capture has developed rapidly and in particular three-dimensional imaging is widely available, the definitions of anatomical landmarks remain rooted in their two-dimensional origins. In the important case of the human face, standard definitions often require careful orientation of the subject. This paper considers the definitions of facial landmarks from an interdisciplinary perspective, including biological and clinical motivations, issues associated with imaging and subsequent analysis, and the mathematical definition of surface shape using differential geometry. This last perspective provides a route to definitions of landmarks based on surface curvature, often making use of ridge and valley curves, which is genuinely three-dimensional and is independent of orientation. Specific definitions based on curvature are proposed. These are evaluated, along with traditional definitions, in a study that uses a hierarchical (random effects) model to estimate the error variation that is present at several different levels within the image capture process. The estimates of variation at these different levels are of interest in their own right but, in addition, evidence is provided that variation is reduced at the observer level when the new landmark definitions are used.
Centre for Image Processing and Analysis Dublin City University Dublin Ireland
College of MVLS School of Medicine Dental School The University of Glasgow Glasgow UK
Department of Information and Communication Technologies Pompeu Fabra University Barcelona Spain
Institute of Technology Tralee Kerry Ireland
Molecular and Cellular Therapeutics Royal College of Surgeons in Ireland Dublin Ireland
School of Computing Science The University of Glasgow Glasgow UK
School of Dentistry The University of Leeds Leeds UK
School of Mathematics and Statistics The University of Glasgow Glasgow UK
Citace poskytuje Crossref.org
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