|
KMID : 1123920160300030184
|
|
Korean Journal of Oriental Physiology and Pathology
2016 Volume.30 No. 3 p.184 ~ p.189
|
|
|
Repeatability Test for the Asymmetry Measurement of Human Appearance using General-purpose Depth Cameras
|
|
Jang Jun-Su
|
|
|
Abstract
|
|
|
|
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.
|
|
|
KEYWORD
|
|
|
Face, Body, 3D measurement, Depth camera, Automated asymmetry analysis algorithm
|
|
|
FullTexts / Linksout information
|
|
|
|
|
Listed journal information
|
|
|
|