BODY SHAPE AND CENTER OF MASS ESTIMATION USING MULTI-VIEW IMAGES

Authors

Kentaro Ino, Keio University, Yokohama, JapanFollow
Kosuke Takahashi, NTT Media Intelligence Laboratories, Yokohama, JapanFollow
Mariko Isogawa, NTT Media Intelligence Laboratories, Yokohama, JapanFollow
Yoshinori Kusachi, NTT Media Intelligence Laboratories, Yokohama, Japan
Dan Mikami, NTT Media Intelligence Laboratories, Yokohama, JapanFollow
Yuta Sugiura, Keio University, Yokohama, JapanFollow
Hideo Saito, Keio University, Yokohama, JapanFollow

Category

Technology/equipment

Document Type

Paper

Abstract

This study presents a method for estimating human 3D body shape in action. We propose a method for estimating 3D human body shape motion that uses multiple view images and visual hulls. Related methods necessitated lengthier preparations, such as camera calibration, which would require several tries before actually capturing the image. We solve this issue by combining state-of-the-art computer vision methods to automatically process the required inputs and parameters, so that camera images are the only resource needed for estimation. In our experiments, we applied our method to a video of human subject kicking a soccer ball to left and right side of a goal; we successfully acquired the subject’s 3D body shape. In addition, we verified that the application’s automatically obtained body shape successfully provides the subject’s center of mass.

Recommended Citation

Ino, Kentaro; Takahashi, Kosuke; Isogawa, Mariko; Kusachi, Yoshinori; Mikami, Dan; Sugiura, Yuta; and Saito, Hideo (2019) "BODY SHAPE AND CENTER OF MASS ESTIMATION USING MULTI-VIEW IMAGES," ISBS Proceedings Archive: Vol. 37: Iss. 1, Article 38.
Available at: https://commons.nmu.edu/isbs/vol37/iss1/38