Body Shape Analysis Method Using Front and Rear 3D Scan Images of Human Body 


Vol. 43,  No. 10, pp. 1636-1644, Oct.  2018
10.7840/kics.2018.43.10.1636


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  Abstract

In this study, we propose a method of aligning the front and rear scan images of the human body and estimating the circumference for 3D body shape analysis. Due to the limitation of the camera view angle, there may not be a common part between the two scan images. Under these conditions, a highly repeatable aligning method is an important factor. First, the spherical markers attached to the body surface is detected and the two scan images is aligned using the average coordinates of the point clouds forming the marker. Then, the proposed spherical center point estimation algorithm is applied for improving the accuracy of the alignment. After alignment process, the point cloud of the missing area is interpolated through the 2nd order polynomial curve estimation and the circumference is calculated. 50 pairs of front and rear scan experiments show the superiority of the proposed algorithm.

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  Cite this article

[IEEE Style]

W. Choi and J. Jang, "Body Shape Analysis Method Using Front and Rear 3D Scan Images of Human Body," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 10, pp. 1636-1644, 2018. DOI: 10.7840/kics.2018.43.10.1636.

[ACM Style]

Woosu Choi and Jun-Su Jang. 2018. Body Shape Analysis Method Using Front and Rear 3D Scan Images of Human Body. The Journal of Korean Institute of Communications and Information Sciences, 43, 10, (2018), 1636-1644. DOI: 10.7840/kics.2018.43.10.1636.

[KICS Style]

Woosu Choi and Jun-Su Jang, "Body Shape Analysis Method Using Front and Rear 3D Scan Images of Human Body," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 10, pp. 1636-1644, 10. 2018. (https://doi.org/10.7840/kics.2018.43.10.1636)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880