In order to improve the accuracy and speed of three-dimensional face recognition, this paper proposes a three-dimensional face recognition method combining LBP and SVM. First, the LBP algorithm is used to extract the feature information of the three-dimensional face depth image, then the SVM algorithm is used to classify the feature information. By selecting samples in the Texas 3DFRD three-dimensional face depth database and the self-made depth database, the experiment proves that the algorithm has a better recognition rate and shorter time consumption.

中文翻译：

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基于LBP和SVM的3D人脸识别方法研究

为了提高三维人脸识别的准确性和速度，提出了一种结合LBP和SVM的三维人脸识别方法。首先，使用LBP算法提取三维人脸深度图像的特征信息，然后使用SVM算法对特征信息进行分类。通过在德州3DFRD三维人脸深度数据库和自制深度数据库中选择样本，实验证明该算法具有较好的识别率和较短的时间消耗。