论文|Qingsong Wu, Fei Fan, Peixi Liao, Yancun Lai, Wenchi Ke, Wenchao Du, Hu Chen, Zhenhua Deng, and Yi Zhang：Human identification with dental panoramic images based on deep learning

本文（Human identification with dental panoramic images based on deep learning）原载Sensing and Imaging，由四川大学计算机学院张意教授等科研人员创作，系四川大学“智慧法治”超前部署学科系列学术成果。后续会持续分享四川大学“智慧法治”超前部署学科系列学术成果，欢迎大家阅读。

Abstract:Human identification by means of dental panoramic X-ray images has been achieved due to end-to-end deep learning using a convolutional neural network. This paper proposes a novel attention-based multi-supervision network (AMNet) for human identification. AMNet includes an attention-based supervision mechanism to obtain an accurate attention mask, feature fusion branches to combine multilevel global features, and part feature branches to obtain discriminative local features. After extracting features of dental panoramic X-ray images, matching scores between the gallery and query features are calculated with cosine similarity to determine if the query image and gallery image are from the same identity. Our training dataset has 22,172 images from 9490 subjects. The proposed method achieved 88.72% rank-1 accuracy and 95.79% rank-5 accuracy on the query set with 665 dental panoramic X-ray images from 503 different subjects.

 Qingsong Wu, Fei Fan, Peixi Liao, Yancun Lai, Wenchi Ke, Wenchao Du, Hu Chen, Zhenhua Deng, and Yi Zhang. Human identification with dental panoramic images based on deep learning. Sensing and Imaging, vol. 22, Article No.: 4, 2021.（论文下载）