Computer Science ›› 2019, Vol. 46 ›› Issue (6): 282-287.doi: 10.11896/j.issn.1002-137X.2019.06.042

Special Issue: Medical Imaging

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Automatic Sex Determination of Skulls Based on Statistical Shape Model

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

  1. (College of Information Science and Technology,Northwest University,Xi’an 710100,China)
  • Received:2018-05-04 Published:2019-06-24

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

CLC Number: 

  • TP391.4
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