GFFD空間変形手法を用いたカメラ画像からの爪形状モデリング

概要

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This paper proposes a novel method of generating a 3D virtual nail model from multiple camera image data based on the GFFD deformation method. 3D virtual nail models for individuals can be generated easily and rapidly with considerably low cost. The outline of the whole procedures is as follows. First, we take three pictures of an individual's nail. Second, we extract feature points of the nail in each image, which is arranged on the outline and surface of the nail. Third, we obtain the corresponding 3D positions of the feature points using a stereo computing method. Finally, we deform the 3D generic virtual nail model into an individual's one with GFFD based on the obtained 3D positions of the feature points. We made some experiments to evaluate whether the errors of the restored nail shape model is within the acceptable error range. By comparing the restored nail model with the model obtained by scanning the nail with a 3D digitizer, we evaluated the accuracy of the restored model. The result of the experiment shows that we can get individual nail models with sufficient accuracy.