{"title":"面部表情特征位移图的研究","authors":"Wenbai Chen, Guanghua Gu","doi":"10.1109/APWCS.2010.87","DOIUrl":null,"url":null,"abstract":"In order to research the feature displacement maps of facial expression, this paper mainly adopted histogram equalization, median filter, gray project and some other methods to deal with the images. After all preparation steps mentioned above, compared to neutral facial expression, the “complex” expression’s difference images were obtained, in which the characteristics of the feature displacement maps are highlighted.","PeriodicalId":354322,"journal":{"name":"2010 Asia-Pacific Conference on Wearable Computing Systems","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Feature Displacement Map of the Facial Expression\",\"authors\":\"Wenbai Chen, Guanghua Gu\",\"doi\":\"10.1109/APWCS.2010.87\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to research the feature displacement maps of facial expression, this paper mainly adopted histogram equalization, median filter, gray project and some other methods to deal with the images. After all preparation steps mentioned above, compared to neutral facial expression, the “complex” expression’s difference images were obtained, in which the characteristics of the feature displacement maps are highlighted.\",\"PeriodicalId\":354322,\"journal\":{\"name\":\"2010 Asia-Pacific Conference on Wearable Computing Systems\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Asia-Pacific Conference on Wearable Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APWCS.2010.87\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Asia-Pacific Conference on Wearable Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APWCS.2010.87","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Feature Displacement Map of the Facial Expression
In order to research the feature displacement maps of facial expression, this paper mainly adopted histogram equalization, median filter, gray project and some other methods to deal with the images. After all preparation steps mentioned above, compared to neutral facial expression, the “complex” expression’s difference images were obtained, in which the characteristics of the feature displacement maps are highlighted.
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