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skull ethnic classification by combining skull auxiliary image with deep learning

Quantitative Biology 2022年第4期10卷 381-389页

作者： Huijie Sun Junli Zhao Chengyuan Wang Yi Li Niankai Zhang Mingquan Zhou College of Computer Science and Technology Qingdao UniversityQingdao 266071China Engineering Research Center of Virtual Reality and Applications Ministry of EducationBeijing 100875China

Background:China is a multi-ethnic *** is of great significance for the skull identification to realize the skull ethnic classification through computers,which can promote the development of forensic anthropology and accelerate the exploration of national ***:In this paper,the 3D skull model is transformed into 2D auxiliary image including curvature,depth and elevation information,and then the deep learning method of the 2D auxiliary image is used for ethnic *** construct a convolution neural network structure inspired by VGGNet16 which has achieved excellent performance on image *** order to optimize the network,Adam algorithm is adopted to avoid falling into local minimum,and to ensure the stability of the algorithm with regularization ***:Experiments on 400 skull models have been conducted for ethnic classification by our *** set different learning rates to compare the performance of the model,the highest accuracy of ethnic classification is 98.75%,which have better performance than other five classical neural network ***:Deep learning based on skull auxiliary image for skull ethnic classification is an automatic and effective method with great application significance.

关键词： skull auxiliary image deep learning skull ethnic classification convolutional neural network

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