Pose-invariant face recognition based on a flexible camera calibration

doi:10.1007/978-981-10-3002-4_16

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 智能安全技术研究中心

	Pose-invariant face recognition based on a flexible camera calibration
	Shao, Xiaohu; Cheng, Cheng; Liu, Yanfei; Zhou, Xiangdong
	2016
会议日期	November 5, 2016 - November 7, 2016
会议地点	Chengdu, China
DOI	10.1007/978-981-10-3002-4_16
页码	191-200
通讯作者	Cheng, Cheng (chengcheng@cigit.ac.cn)
英文摘要	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. © Springer Nature Singapore Pte Ltd. 2016.
会议录	7th Chinese Conference on Pattern Recognition, CCPR 2016
语种	英语
ISSN号	18650929
内容类型	会议论文
源URL	[http://119.78.100.138/handle/2HOD01W0/4814]
专题	智能安全技术研究中心
作者单位	Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
推荐引用方式 GB/T 7714	Shao, Xiaohu,Cheng, Cheng,Liu, Yanfei,et al. Pose-invariant face recognition based on a flexible camera calibration[C]. 见:. Chengdu, China. November 5, 2016 - November 7, 2016.