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http://dx.doi.org/10.9717/kmms.2011.14.11.1373

An Automatic Smile Analysis System for Smile Self-training  

Song, Won-Chang (원광대학교 컴퓨터공학과)
Kang, Sun-Kyung (원광대학교 컴퓨터공학과)
Jung, Tae-Sung (원광대학교 컴퓨터공학과)
Publication Information
Journal of Korea Multimedia Society / v.14, no.11, 2011 , pp. 1373-1382 More about this Journal
Abstract
In this study, we propose an automated smile analysis system for self smile training. The proposed system detects the face area from the input image with the AdaBoost algorithm, followed by identifying facial features based on the face shape model generated by using an ASM(active shpae model). Once facial features are identified, the lip line and teeth area necessary for smile analysis are detected. It is necessary to judge the relationship between the lip line and teeth for smiling degree analysis, and to this end, the second differentiation of the teeth image is carried out, and then individual the teeth areas are identified by means of histogram projection on the vertical axis and horizontal axis. An analysis of the lip line and individual the teeth areas allows for an automated analysis of smiling degree of users, enabling users to check their smiling degree on a real time basis. The developed system in this study exhibited an error of 8.6% or below, compared to previous smile analysis results released by dental clinics for smile training, and it is expected to be used directly by users for smile training.
Keywords
Smile Training; Automatic Smile Analysis; Active Shape Model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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