College of Information Science and Technology, Beijing Normal University, Beijing 100875, China.
Comput Math Methods Med. 2013;2013:251628. doi: 10.1155/2013/251628. Epub 2013 Nov 7.
Sex determination from skeletons is an important research subject in forensic medicine. Previous skeletal sex assessments are through subjective visual analysis by anthropologists or metric analysis of sexually dimorphic features. In this work, we present an automatic sex determination method for 3D digital skulls, in which a statistical shape model for skulls is constructed, which projects the high-dimensional skull data into a low-dimensional shape space, and Fisher discriminant analysis is used to classify skulls in the shape space. This method combines the advantages of metrical and morphological methods. It is easy to use without professional qualification and tedious manual measurement. With a group of Chinese skulls including 127 males and 81 females, we choose 92 males and 58 females to establish the discriminant model and validate the model with the other skulls. The correct rate is 95.7% and 91.4% for females and males, respectively. Leave-one-out test also shows that the method has a high accuracy.
骨骼性别鉴定是法医学中的一个重要研究课题。以往的骨骼性别评估是通过人类学家的主观视觉分析或对性别二态性特征的度量分析来进行的。在这项工作中，我们提出了一种用于 3D 数字颅骨的自动性别鉴定方法，其中构建了颅骨的统计形状模型，该模型将高维颅骨数据投影到低维形状空间中，并使用 Fisher 判别分析对形状空间中的颅骨进行分类。该方法结合了度量和形态方法的优点。它易于使用，不需要专业资格和繁琐的手动测量。我们使用一组包括 127 名男性和 81 名女性的中国颅骨，选择 92 名男性和 58 名女性来建立判别模型，并使用其余颅骨验证模型。女性和男性的正确识别率分别为 95.7%和 91.4%。留一法测试也表明该方法具有很高的准确性。
