基于统计形状模型的颅骨自动性别识别

doi:10.11896/j.issn.1002-137X.2019.06.042

计算机科学 ›› 2019, Vol. 46 ›› Issue (6): 282-287.doi: 10.11896/j.issn.1002-137X.2019.06.042

所属专题：医学图像

基于统计形状模型的颅骨自动性别识别

杨稳, 刘晓宁, 朱菲, 赵尚豪, 王世雄

(西北大学信息科学与技术学院西安710100)

收稿日期:2018-05-04 发布日期:2019-06-24
通讯作者: 刘晓宁(1978－),女,博士,副教授,主要研究方向为图像处理,E-mail:xhliu@nwu.edu.cn
作者简介:杨稳(1993－),男,硕士生,主要研究方向为模式识别;朱菲(1994－),女,硕士生,主要研究方向为计算机图形学;赵尚豪(1994－),男,硕士生,主要研究方向为机器学习;王世雄(1994－),男,硕士生,主要研究方向为模式识别。
基金资助:
国家自然科学基金(61363065),陕西省自然科学基金(2018JM6061),研究生自主创新项目(YZZ17181)资助。

Automatic Sex Determination of Skulls Based on Statistical Shape Model

YANG Wen, LIU Xiao-ning, ZHU Fei, ZHAO Shang-hao, WANG Shi-xiong

(College of Information Science and Technology,Northwest University,Xi’an 710100,China)

Received:2018-05-04 Published:2019-06-24

摘要/Abstract

摘要： 颅骨性别识别是法医人类学的热门研究课题之一,在刑侦、考古人类学等领域具有重要的研究价值。以往的颅骨性别识别是人类学家通过经验观察形态或对具有性别二态性差异的特征进行测量分析确定的,主观性较强。文中提出了一种用于三维数字化颅骨的自动性别识别方法。首先构建用于颅骨的统计形状模型,然后将高维颅骨特征投影到低维形状空间,最后使用Fisher判别分析在低维形状空间对颅骨进行分类。这种方法结合了测量法和形态学方法的优点,操作方便,无需专业人员和繁琐的手动测量。实验选择267个维吾尔族的颅骨模型,男性114个,女性153个。其中76个男性和102个女性的颅骨用来建立性别判别模型,其余的用来验证。实验结果表明,所提方法对维吾尔族男性和女性颅骨性别识别的正确率分别为94.7％和92.1％,留一交叉检验表明该方法具有较高的准确率。

关键词: Fisher判别分析, 留一交叉检验, 颅骨性别识别, 统计形状模型

Abstract: The sex determination of skulls is one of the hot research topics in forensic anthropology.It has important research value in the field of criminal investigation and archaeological anthropology.Skull sex recognition is determined by anthropologists through empirical observation of morphology or measurement and analysis of characteristics with gender dimorphism differences.Which is with strong subjective.This aper proposed an automatic gender recognition me-thod for three-dimensional digital cranium.Firstly,a statistical shape model for skulls is built.Then,the feature of high-dimensional skull is projected into low-dimensional shape space.Finally,Fisher discriminant analysis is used to classify the skull in low-dimensional shape space.This method combines the advantages of the measurement and morphological methods.It is easy to operate with no professional and tedious manual measurements.In the experiment,267 Uygur cranium models were selected,including 114 male and 153 female.Of these,76 male and 102 female skulls were used to establish gender discrimination models,and the rest were used to verify.The results show that the accuracy rate in Uygur males and females was 94.7% and 92.1%,respectively.Leave-one-out cross validation shows that this method has high accuracy.

Key words: Fisher discriminant analysis, Leave-one-out cross validation, Sex determination of skull, Statistical shape model

中图分类号:

TP391.4

杨稳, 刘晓宁, 朱菲, 赵尚豪, 王世雄. 基于统计形状模型的颅骨自动性别识别[J]. 计算机科学, 2019, 46(6): 282-287. https://doi.org/10.11896/j.issn.1002-137X.2019.06.042

YANG Wen, LIU Xiao-ning, ZHU Fei, ZHAO Shang-hao, WANG Shi-xiong. Automatic Sex Determination of Skulls Based on Statistical Shape Model[J]. Computer Science, 2019, 46(6): 282-287. https://doi.org/10.11896/j.issn.1002-137X.2019.06.042

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基于统计形状模型的颅骨自动性别识别

Automatic Sex Determination of Skulls Based on Statistical Shape Model

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