Image-based 3D torso body modeling - 3D female body modeling for breast surgery simulation

This paper proposes an image-based 3D modeling algorithm for a 3D torso of the human body. This approach provides an easy and practical way of modeling so that doctors can obtain the subject's 3D data without additional equipment such as a 3D scanner or MRI. To achieve this goal, a 3D template model with feature points is prepared, and then a 3D model of the subject is reconstructed from orthogonal photographs by deforming the 3D template model. An appropriate number of feature points and their positions are derived. Procrustes Analysis and Radial Basis Functions (RBFs) are applied for the deformation. After the deformations, images are mapped onto the mesh for realistic visualization.