범용 깊이 카메라를 이용한 인체 외형 비대칭 측정의 반복성 평가

장준수

doi:10.15188/kjopp.2016.06.30.3.184

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한의병리학회
동의생리병리학회지 학술저널
동의생리병리학회지 제30권 제3호
2016.06 184 - 189 (6page)
DOI : 10.15188/kjopp.2016.06.30.3.184

저자정보

장준수 (한국한의학연구원)

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Human appearance analysis is an important part of both eastern and western medicine fields, such as Sasang constitutional medicine, rehabilitation medicine, dental medicine, and etc. By the rapid growing of depth camera technology, 3D measuring becomes popular in many applications including medical area. In this study, the possibility of using depth cameras in asymmetry analysis of human appearance is examined. We introduce the development of 3D measurement system using 2 Microsoft Kinect depth cameras and fully automated asymmetry analysis algorithms based on computer vision technology. We compare the proposed automated method to the manual method, which is usually used in asymmetry analysis. As a measure of repeatability, standard deviations of asymmetry indices are examined by 10 times repeated experiments. Experimental results show that the standard deviation of the automated method (1.00mm for face, 1.22mm for body) is better than that of the manual method (2.06mm for face, 3.44mm for body) for the same 3D measurement. We conclude that the automated method using depth cameras can be successfully applicable to practical asymmetry analysis and contribute to reliable human appearance analysis.

#Face #Body #3D measurement #Depth camera #Automated asymmetry analysis algorithm