{"title":"人脸特征提取算子","authors":"D. Pearson, E. Hanna","doi":"10.1364/av.1989.wd1","DOIUrl":null,"url":null,"abstract":"The extraction of human facial features from images in binary form has been shown to be useful in at least two areas of low data-rate image coding. One is in the transmission of moving cartoons over the public switched telephone network [1]-[3]. Another is in model-based coding, where analysis of the camera signal is needed to line up the software model with the exterior world [4]. Binarization of the input image is also used as a first stage in machine recognition of faces [5].","PeriodicalId":344719,"journal":{"name":"Applied Vision","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Operators For Facial Feature Extraction\",\"authors\":\"D. Pearson, E. Hanna\",\"doi\":\"10.1364/av.1989.wd1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The extraction of human facial features from images in binary form has been shown to be useful in at least two areas of low data-rate image coding. One is in the transmission of moving cartoons over the public switched telephone network [1]-[3]. Another is in model-based coding, where analysis of the camera signal is needed to line up the software model with the exterior world [4]. Binarization of the input image is also used as a first stage in machine recognition of faces [5].\",\"PeriodicalId\":344719,\"journal\":{\"name\":\"Applied Vision\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/av.1989.wd1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/av.1989.wd1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The extraction of human facial features from images in binary form has been shown to be useful in at least two areas of low data-rate image coding. One is in the transmission of moving cartoons over the public switched telephone network [1]-[3]. Another is in model-based coding, where analysis of the camera signal is needed to line up the software model with the exterior world [4]. Binarization of the input image is also used as a first stage in machine recognition of faces [5].
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