QQ客服 官方微博 反馈留言

	Robust head pose estimation with a new principal optimal tradeoff filter
	Yan, Dong ; Yan, Yan ; Wang, Hanzi ; Wang HZ(王菡子)
	2013
关键词	Feature extraction Optimization Principal component analysis
英文摘要	Conference Name:4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013. Conference Address: Beijing, China. Time:July 31, 2013 - August 2, 2013.; One of the challenging problems encountered by face recognition is the difficulty in tackling pose variations, where fast and reliable head pose estimation is an essential step. In this paper, based on the correlation filter technique, a novel feature extraction framework, i.e., directional correlation filter set (DCFS), is developed for robust head pose estimation. In this framework, a principal optimal tradeoff filter (called POTF) is designed in the feature subspace obtained according to principal component analysis (PCA). Compared with the traditional methods that rely on the exact localization of facial feature points, our proposed method exploits the 1D frequency domain of the training data by using the correlation filter technique, which can capture the high-order statistics of a face for effective head pose estimation. Experimental results on several public face databases with large pose variations, including PIE, HPI, and UMIST, show the promising performance obtained by the proposed method on head pose estimation. ? 2013 Springer-Verlag Berlin Heidelberg.
语种	英语
出处	http://dx.doi.org/10.1007/978-3-642-42057-3-41
出版者	Springer Verlag
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86551]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Yan, Dong,Yan, Yan,Wang, Hanzi,et al. Robust head pose estimation with a new principal optimal tradeoff filter. 2013-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。