Digital Photo Analysis as a Predictor of Physiological Vertical Dimension

Autor:	Andy Wirahadikusumah, Sitti Fardaniah, Henni Koesmaningati
Rok vydání:	2011
Předmět:	genetic structures business.industry lcsh:R digital photography lcsh:Medicine Digital photography Camera lens lcsh:RK1-715 Dimension (vector space) Position (vector) lcsh:Dentistry Face (geometry) Computer vision Artificial intelligence business physiologic vertical dimension Mathematics
Zdroj:	Journal of Dentistry Indonesia, Vol 18, Iss 2, Pp 38-44 (2013)
ISSN:	2355-4800 1693-9697
DOI:	10.14693/jdi.v18i2.62
Popis:	Determination of the vertical dimension is based on patient's resting jaw position, which is the physiological vertical dimension. Objective: To examine the accuracy of physiological vertical dimension using digital photography. Methods: The research was done on 64 students who meet the criterias. The measurements of eyes-lips angles and lower nose-chin distance was performed. Then photo shoot of subject faces was taken from 56cm distance between the camera lens and the tip of the subjects’ nose with tripoded camera. Results: Distance of eyes-lips angles, and lower the nose-chin of the face and the photo has no meaningful differences. Conclusions: Analysis of digital photos can be applied to predict physiological vertical dimension.DOI: 10.14693/jdi.v18i2.62
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6e789ef39ecbf6d87dce56dbae231c5 https://doi.org/10.14693/jdi.v18i2.62 Zobrazit plný text záznamu