832K 3D Facial Scans Dataset

本研究介绍了名为‘832K 3D Facial Scans Dataset’的大规模3D面部表情数据集，由国际信息技术学院创建。该数据集包含832,000个3D面部扫描，涵盖100个不同身份，每个身份具有6种基本表情和一种中性表情，数据丰富，形态变化多样。数据集通过引入非线性异质变异于3D形状和面部表情中生成，旨在解决3D面部表情识别领域因数据集不足而发展缓慢的问题。此数据集适用于深度学习模型训练，特别是针对3D面部表情识别的深度卷积神经网络。

This study introduces a large-scale 3D facial expression dataset named '832K 3D Facial Scans Dataset', which was developed by the International Institute of Information Technology. The dataset comprises 832,000 3D facial scans spanning 100 distinct identities, with each identity having 6 basic expressions and one neutral expression, featuring rich data and diverse morphological variations. Generated by introducing nonlinear heterogeneous variations into 3D facial shapes and expressions, this dataset is intended to resolve the issue of slow progress in the 3D facial expression recognition domain resulting from the scarcity of available datasets. This dataset is suitable for training deep learning models, particularly deep convolutional neural networks for 3D facial expression recognition.