Craniofacial similarity measuring based on BRACD

Craniofacial similarity measuring is a difficult scheme in the field of craniofacial reconstruction. In this paper, we define a hemisphere as a referenced model, which is used to select the craniofacial homologous vertices and to construct a new transformation coordinate system. Then the hemisphere is transformed into different craniofacial models. The transformations are a basis for craniofacial similarity measuring. We adopt a modified version of relative angle-context distribution (RACD) to measure one-vertex transformation irrespective of global affine transformation between the hemisphere and one craniofacial model, which we call BRACD (bending relative angle-context distribution). What´s more, the BRACDs of all vertices will reflect the whole bending information. Following χ² statistics, the dissimilarity between different craniofacial models can be computed from above values. Therefore a similarity measuring formula can estimate craniofacial similarity. The experimental results show that the hit-rate of our approach is higher than RACD.