Evaluating the Quality of Face Alignment without Ground Truth
Sheng, Kekai1; Dong, Weiming1; Kong, Yan1; Mei, Xing1; Li, Jilin2; Wang, Chengjie2; Huang, Feiyue2; Hu, Bao-Gang1
2015-10-01
发表期刊COMPUTER GRAPHICS FORUM
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
DOI10.1111/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
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/10490
专题模式识别国家重点实验室_多媒体计算与图形学
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
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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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