Pose-Invariant Face Recognition Based on a Flexible Camera Calibration

摘要：

　　In this paper,we present a flexible camera calibration for pose normalization to accomplish a pose-invariant face recognition.The accuracy of calibration can be easily influenced by errors of landmark detection or various shapes of different faces and expressions.By jointly using RANSAC and facial unique characters,we explore a flexible calibration method to achieve a more accurate camera calibration and pose normalization for face images.Our proposed method is able to eliminate noisy facial landmarks and retain the ones which best match the undeformable 3D face model.The experimental results show that our method improves the accuracy of pose-invariant face recognition,especially for the faces with unsatisfied landmark detection,variant shapes,and exaggerated expressions.

关键词： Camera calibration 3D alignment Face recognition

作者: Xiaohu Shao Cheng Cheng Yanfei Liu Xiangdong Zhou

作者单位: Chongqing Institute of Green and Intelligent Technology,Chinese Academy of Sciences,Chongqing,China

会议类型: 国际会议

会议名称: 第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)

会议地点: 成都

会议语种:英文

页码: 191-200

在线出版日期: 2016-11-03（万方平台首次上网日期，不代表论文的发表时间）