Face Appearance Reconstruction Based on a Regional Statistical Craniofacial Model (RCSM)

The reconstruction of facial soft tissue is an essential processing phase in a few of fields. In this paper, we propose a face appearance reconstruction algorithm based on a Regional Statistical Craniofacial model called RSCM. Specifically, the shape of the craniofacial model is decomposed into a few of segments, such as the eyes, the nose and the mouth regions, then the joint statistical models of different regions are constructed independently to address the small sample size problem. The face reconstruction task is formulated as a miss data problem, and is also fulfilled region by region respectively. Finally, the recovered regions are assembled together to achieve a completed face model. The experimental results show that the proposed reconstruction scheme achieves less error rate than a state of the art method.