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). Whats more, the BRACDs of all vertices will reflect the whole bending information. Following X2 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.
craniofacial reconstruction craniofacial similarity thin-plate spline (TPS) landmark similarity distance
ZHU Xin-yi GENG Guo-hua WEN Chao
Information School Northwest University Xian, China
国际会议
上海
英文
943-946
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）