测试技术学报2017，Vol.31Issue(3)：241-249,9.DOI:10.3969/j.issn.1671-7449.2017.03.010
一种基于彩色+深度的人脸识别算法
A Face Recognition Algorithm Based on RGB-D
袁帅英 1郭大波1
作者信息
- 1. 山西大学 物理电子工程学院, 山西 太原 030006
- 折叠
摘要
Abstract
In this paper, a face recognition method based on color-depth(RGB-D) was proposed to improve the recognition rate.First of all, images are acquired under different conditions, such as wide-range head posture changes and illuminations from the Kinect.Then RGB-D images of the same person under different conditions are selected into an image set.Secondly, the original depth data acquired by Kinect was used for pose estimation and automatic cropping of face region and a group of face image set was separated into several sub-image sets.For classification, a block-based covariance matrix was proposed to represent a subset image on a Riemannian manifold to decrease dimensions.The SVM models were used to study each sub-image set separately, and then the results of all the sub-image set together to get the final recognition results.The proposed algorithm has been evaluated on the dataset with more than 5 000 RGB-D images obtained in different conditions.The experimental results show that the proposed algorithm can achieve 98.84% recognition rate.关键词
k-均值/局部二进制模式/支持向量机/黎曼流形/图像集分类/人脸识别算法Key words
k-means/LBP/SVM/riemannian manifolds/classification of image sets/face recognition algorithm分类
信息技术与安全科学引用本文复制引用
袁帅英,郭大波..一种基于彩色+深度的人脸识别算法[J].测试技术学报,2017,31(3):241-249,9.
