3D Measurement of Anatomical Cross-sections of Foot while Walking

Recently, techniques for measuring and modeling of human body are taking attention, because human models are useful for ergonomic design in manufacturing. We aim to measure accurate shape of human foot that will be useful for the design of shoes. For such purpose, shape measurement of foot in motion is obviously important, because foot shape in the shoe is deformed while walking or running. In this paper, we propose a method to measure anatomical cross–sections of foot while walking. No one had ever measured dynamic shape of anatomical cross–sections, though they are very basic and popular in the field of biomechanics. Our proposed method is based on multi–view stereo method. The target cross–sections are painted in individual colors (red, green, yellow and blue), and the proposed method utilizes the characteristic of target shape in the camera captured images. Several nonlinear conditions are introduced in the process to find the consistent correspondence in all images. Our desired accuracy is less than 1mm error, which is similar to the existing 3D scanners for static foot measurement. In our experiments, the proposed method achieved the desired accuracy.

[1]  Patrick J. Flynn,et al.  Accuracy of 3D scanning technologies in a face scanning scenario , 2005, Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05).

[2]  Hein A.M. Daanen,et al.  Whole body scanners , 1998 .

[3]  Richard Szeliski,et al.  A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[4]  Takeo Kanade,et al.  Human Foot Reconstruction from Multiple Camera Images with Foot Shape Database , 2006, IEICE Trans. Inf. Syst..

[5]  Leif Kobbelt,et al.  A Surface-Growing Approach to Multi-View Stereo Reconstruction , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[6]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[7]  Hideo Saito,et al.  PCA-based 3D shape reconstruction of human foot using multiple viewpoint cameras , 2008, Int. J. Autom. Comput..

[8]  M. Kouchi Development of a low cost foot-scanner for a custom shoe making system , 2001 .