Evaluating the Quality of Face Alignment without Ground Truth

doi:10.1111/cgf.12760

	Evaluating the Quality of Face Alignment without Ground Truth
	Sheng, Kekai1 ; Dong, Weiming1 ; Kong, Yan1 ; Mei, Xing1 ; Li, Jilin 2; Wang, Chengjie 2; Huang, Feiyue 2; Hu, Bao-Gang1
发表期刊	COMPUTER GRAPHICS FORUM
	2015-10-01
卷号	34 期号:7 页码:213-223
文章类型	Article
摘要	The study of face alignment has been an area of intense research in computer vision, with its achievements widely used in computer graphics applications. The performance of various face alignment methods is often image-dependent or somewhat random because of their own strategy. This study aims to develop a method that can select an input image with good face alignment results from many results produced by a single method or multiple ones. The task is challenging because different face alignment results need to be evaluated without any ground truth. This study addresses this problem by designing a feasible feature extraction scheme to measure the quality of face alignment results. The feature is then used in various machine learning algorithms to rank different face alignment results. Our experiments show that our method is promising for ranking face alignment results and is able to pick good face alignment results, which can enhance the overall performance of a face alignment method with a random strategy. We demonstrate the usefulness of our ranking-enhanced face alignment algorithm in two practical applications: face cartoon stylization and digital face makeup.
WOS标题词	Science & Technology ; Technology
DOI	10.1111/cgf.12760
关键词[WOS]	LOCALIZATION ; MODELS
收录类别	SCI
语种	英语
项目资助者	National Science and Technology Major Program for Core Electronic Devices, High-end Generic Chips and Basic Software Project of China(2012ZX01039-004-45) ; National Natural Science Foundation of China(61172104 ; CASIA-Tencent BestImage joint research project ; 61271430 ; 61201402 ; 61372184)
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering
WOS记录号	WOS:000363216500021
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/10490
专题	多模态人工智能系统全国重点实验室_多媒体计算
通讯作者	Dong, Weiming
作者单位	1.Chinese Acad Sci, Inst Automat, LIAMA NLPR, Beijing 100864, Peoples R China 2.Tencent, Shenzhen, Peoples R China
第一作者单位	模式识别国家重点实验室
通讯作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Sheng, Kekai,Dong, Weiming,Kong, Yan,et al. Evaluating the Quality of Face Alignment without Ground Truth[J]. COMPUTER GRAPHICS FORUM,2015,34(7):213-223.
APA	Sheng, Kekai.,Dong, Weiming.,Kong, Yan.,Mei, Xing.,Li, Jilin.,...&Hu, Bao-Gang.(2015).Evaluating the Quality of Face Alignment without Ground Truth.COMPUTER GRAPHICS FORUM,34(7),213-223.
MLA	Sheng, Kekai,et al."Evaluating the Quality of Face Alignment without Ground Truth".COMPUTER GRAPHICS FORUM 34.7(2015):213-223.

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