Abstract
This paper proposes a novel method of generating a 3D virtual foot model from multiple camera image data based on the GFFD deformation method. 3D virtual foot models for individual persons can be generated easily and rapidly with considerably low cost. By estimating the cause of errors that can occur in the whole process and endeavoring to lower the errors, we succeeded to achieve satisfactory accuracy. The errors are mainly classified into two kinds. One occurs in transforming process with use of the GFFD deformation method and the other in obtaining 3D coordinates of feature points. So, we devoted ourselves to eliminate the cause of both errors and repeated experiments again and again. As a result, we got to get a 3D virtual foot model within acceptable error range. The average error is 1.32∼1.72mm.
