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KMID : 1123920150290030218
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Korean Journal of Oriental Physiology and Pathology
2015 Volume.29 No. 3 p.218 ~ p.222
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Study on the Practical 3D Facial Diagnosis using Kinect Sensors
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Jang Jun-Su
Do Jun-Hyeong
Kim Jang-Woong
Nam Ji-ho
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Abstract
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Facial diagnosis based on quantitative facial features has been studied in many Korean medicine fields, especially
in Sasang constitutional medicine. By the rapid growing of 3D measuring technology, generic and cheap 3D sensors,
such as Microsoft Kinect, is popular in many research fields. In this study, the possibility of using Kinect in facial
diagnosis is examined. We introduce the development of facial feature extraction system and verify its accuracy and
repeatability of measurement. Furthermore, we compare Sasang constitution diagnosis results between DSLR-based
system and the developed Kinect-based system. A Sasang constitution diagnosis algorithm applied in the experiment
was previously developed by a huge database containing 2D facial images acquired by DSLR cameras. Interrater
reliability analysis result shows almost perfect agreement (Kappa = 0.818) between the two systems. This means that
Kinect can be utilized to the diagnosis algorithm, even though it was originally derived from 2D facial image data. We
conclude that Kinect can be successfully applicable to practical facial diagnosis.
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KEYWORD
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Face, 3D, Sasang Constitution
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