PROJECTS

[Reference /引用はこちら]
小林巧，家永直人，杉浦裕太，斎藤英雄，宮田なつき，多田充徳，距離カメラ付きスマートフォンを用いた簡易的な人体の足の3次元形状計測システム，精密工学会誌，Vol.84，No.12，996-1002，2018-12-5．[DOI]
Takumi Kobayashi, Naoto Ienaga, Yuta Sugiura, Hideo Saito, Natsuki Miyata, Mitsumori Tada, A Simple 3D Scanning System of the Human Foot Using a Smartphone with a Depth Camera, in Proc. of 3DBODY.TECH 2018 – 9th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, 161-169, October 16-17, 2018, Lugano, Switzerland. [DOI]

本稿では、距離カメラ付きスマートフォンを用いて人体の足形状を3次元点群として取得し、可変形モデルを変形させることで完全な3次元形状を推定する手法を提案する。事前に3次元計測された足形状の相同モデルデータベースを用意し、それらに主成分分析を行って得られた変形可能なモデルを用いる。このモデルをスマートフォンで取得した点群にフィッティングさせるように、モデルの変形パラメータを最適化することで、3次元形状計測を行った。

This paper presents a method to measure foot shape from a 3D point cloud as input captured from multiple directions using a smartphone depth camera. Such a 3D point cloud could potentially include noise or omit parts of the foot due to occlusion. To deal with this occlusion problem, we propose to use a dataset of 3D foot shapes collected by a precise 3D shape scanner of foot shapes. According to the dataset of 3D foot shapes, we can generate a deformable model by performing a principal component analysis (PCA) on the dataset. Then we minimize the error of the shape represented by the deformable model and the 3D point cloud acquired by the smartphone camera, to recover a complete 3D shape of the entire foot with high accuracy. We test this method by comparing the 3D shape produced by our proposed method to the 3D shape precisely measured by the 3D scanner. Our proposed method can scan the foot shape with an error of about 1.13mm.