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dc.contributor.authorTian, Lihuien_US
dc.contributor.authorXiao, Shuangjiuen_US
dc.contributor.editorEitan Grinspun and Bernd Bickel and Yoshinori Dobashien_US
dc.date.accessioned2016-10-11T05:20:41Z
dc.date.available2016-10-11T05:20:41Z
dc.date.issued2016
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.13036
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13036
dc.description.abstractWe propose a personality trait exaggeration system emphasizing the impression of human face in images, based on multi-level features learning and exaggeration. These features are called Personality Trait Model(PTM). Abstract level of PTM is social psychology trait of face perception such as amiable, mean, cute and so on. Concrete level of PTM is shape feature and texture feature. A training phase is presented to learn multi-level features of faces from different images. Statistical survey is taken to label sample images with people's first impressions. From images with the same labels, we capture not only shape features but also texture features to enhance exaggeration effect. Texture feature is expressed by matrix to reflect depth of facial organs, wrinkles and so on. In application phase, original images will be exaggerated using PTM iteratively. And exaggeration rate for each iteration is constrained to keep likeness with the original face. Experimental results demonstrate that our system can emphasize chosen social psychology traits effectively.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.titleFacial Feature Exaggeration According to Social Psychology of Face Perceptionen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersImages and Video
dc.description.volume35
dc.description.number7
dc.identifier.doi10.1111/cgf.13036
dc.identifier.pages391-399


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