颅面复原方法综述  

Survey on Craniofacial Reconstruction Method

作　　者：王琳 赵俊莉 段福庆[2] 周明全[2] WANG Lin;ZHAO Junli;DUAN Fuqing;ZHOU Mingquan(School of Data Science and Software Engineering,Qingdao University,Qingdao,Shandong 266000,China;College of Information Science and Technology,Beijing Normal University,Beijing 100875,China)

机构地区：[1]青岛大学数据科学与软件工程学院,山东青岛266000 [2]北京师范大学信息科学与技术学院,北京100875

出　　处：《计算机工程》2019年第12期8-18,共11页Computer Engineering

基　　金：国家自然科学基金(61702293);中国博士后科学基金(2017M622137);教育部虚拟现实应用工程研究中心基金(MEOB NUEVRA201601)

摘　　要：颅面复原是一项依据人的颅骨恢复其对应的面部相貌的研究,在公安法医学、考古学、医学整形等诸多领域有普遍应用,传统手工颅面复原耗费时间长且复原结果难以实现,而近年来逐步兴起的计算机辅助颅面复原方法使得复原结果更加真切、高效。重点归纳和分析计算机辅助颅面复原技术,该复原技术主要基于知识的颅面复原方法和统计模型法,对其中的基于稀疏软组织厚度的颅面复原、基于稠密软组织厚度的颅面复原、统计形变模型和回归模型等重要方法进行详细的阐述,并将各种方法优缺点进行对比,帮助研究人员全面了解颅面复原方法。Craniofacial reconstruction studies the restoration of facial features according to the corresponding human skulls.It is widely used in many fields such as public security forensics,archaeology,medical plastic surgery etc.There are mainly two kinds of craniofacial reconstruction,the traditional craniofacial reconstruction and computer-assisted craniofacial reconstruction.The traditional manual craniofacial reconstruction is time-consuming and the results are often hard to achieve.In contrast,the computer-assisted craniofacial reconstruction is more realistic and efficient.This study focuses on the summarization and analysis of computer-assisted craniofacial reconstruction technologies,including knowledge-based craniofacial reconstruction method and statistical model method.We present elaborate introductions to some important methods,such as the craniofacial reconstruction method based on sparse soft tissue thickness,the craniofacial reconstruction method based on the thickness of dense soft tissue,the statistical deformation model method and the regression model method.The advantages and disadvantages of these methods are compared to help researchers get a comprehensive understanding on craniofacial reconstruction.

关 键 词：颅面复原 软组织厚度 主成分分析 统计建模 回归模型 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]