计算机应用研究2016，Vol.33Issue(10)：3191-3195,3200,6.DOI:10.3969/j.issn.1001-3695.2016.10.071
改进的基于特征点软组织厚度的颅面复原方法
Improved method for 3 D craniofacial reconstruction based on soft tissue depths of landmarks
摘要
Abstract
Most of the 3D craniofacial reconstruction methods rely on the statistical data of soft tissue depths of sparse land-marks located on the skull.The classical statistical method for tissue depth is to classify samples into several clusters accor-ding to the properties (gender,age and BMI)of the samples,and then calculates the mean tissue depths for each cluster. However,each cluster covers a wide range of properties,for example,and BMI,leading to a result that are insensitive to the slight changes of properties.This paper proposed an improved method to solve this problem.The method first constructed a head database from CT images,and located 80 landmarks for each skull of the database by using a semi-automatic landmarking method.Then,it calculated the tissue depths of the 80 landmarks for all the skulls,and analyzed the relationship between tis-sue depth and properties,such as gender,age and BMI,for each landmark through support vector regression.When recon-structing the face for a given skull,it first calculated the tissue depths of landmarks according to the regression function and the properties of the skull,and then deformed a reference face using thin-plate spline based deformation to obtain the approxima-tion face for the skull.The experiments demonstrate that the proposed method can get more sensitive and more accurate tissue depths for landmarks when comparing with the existing methods,so as to improve the accuracy of the reconstruction.关键词
三维颅面复原/特征点标定/软组织厚度/支持向量回归/薄板样条函数Key words
3D craniofacial reconstruction/landmarking/soft tissue depth/support vector regression/thin-plate spline分类
信息技术与安全科学引用本文复制引用
热孜万古丽·夏米西丁,耿国华,邓擎琼,赵万荣,郑磊..改进的基于特征点软组织厚度的颅面复原方法[J].计算机应用研究,2016,33(10):3191-3195,3200,6.基金项目
国家自然科学基金资助项目（61003133，61363065）；北京市自然科学基金资助项目（4152028）；中央高校基本科研业务费专项基金资助项目 （）
