A Corresponding Method of 3D Skull Feature Points Based on Voxel Models and Multi-Geometric Feature Constraint
In the craniofacial reconstruction method based on statistical model,several feature points need to be calibrated on each skull.Due to the large number of feature points,the order of calibration is difficult to orderly,so it is necessary to carry out point correspondence to the calibrated feature points,and it is convenient to carry out subsequent statistical analysis.Therefore,a 3D skull correspondence algorithm based on voxel models and multi-geometric feature constraint is proposed in this paper.First,the skull model is unified into the Frankfurt coordinate system.According to the corresponding relationship between the reference skull and the corresponding set of skull points,the matching skull is deformed by TPS,and the skull is coarsely registered; Then,a voxel model of reference skull and skull to be matched is constructed to solve multi-geometric features of feature points set of the model; Finally,under the joint constraint of multi-geometric features,the best counterpart is achieved.Experimental results show that the proposed algorithm improves the accuracy and efficiency significantly.
3D skull Point correspondence Voxel models Thin Plate Spline Geometric feature constraint
Yang Wen Liu Xiaoning Wang Kegang Hu Jiabei Zhu Fei Geng Guohua
School of Information Science and Technology,Northwest University,Xian 710127,China School of Electronics and Information Engineering,Ankang University,Ankang 725000,China
国际会议
太原
英文
126-134
2018-06-29（万方平台首次上网日期，不代表论文的发表时间）