Personalized model deformation based on slice space representation

Human body modeling is essential for virtual environment, sports simulation and digital entertainment. In this paper, we present an improved slice-space deforming algorithm and use it to add shape details extracted from pictures to a reference model in order to get a personalized and structured model. Our method begins with sample image collection and reference image generation followed by silhouette extraction and segmentation. Then it builds a mapping between pixels inside every pair of silhouette segments in the reference image and in the sample image. This novel mapping algorithm is based on a slice space representation that conforms to the intrinsic structure of human body. Finally, based on this mapping, the position of every point in the reference model will be changed. Our deforming algorithm can extract shape details from pictures more precisely and preserve shape connectivity of the reference model in more situations.