{"title":"人工视觉系统算法在人脸识别与跟踪中的应用","authors":"Lum Mi-Fern, L. C. Kiong, L. T. Hui","doi":"10.1109/CITISIA.2008.4607324","DOIUrl":null,"url":null,"abstract":"The development of an artificial visual system consists of several algorithms based on the biological human eye sight, particularly about the retina. It involves algorithms such as log polar transformation, Gaussian filters, Gabor Wavelets, etc. Overall, the system is implemented into recognition and able to perform some tracking abilities.","PeriodicalId":194815,"journal":{"name":"2008 IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial visual system algorithm applied on face recognition and tracking\",\"authors\":\"Lum Mi-Fern, L. C. Kiong, L. T. Hui\",\"doi\":\"10.1109/CITISIA.2008.4607324\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of an artificial visual system consists of several algorithms based on the biological human eye sight, particularly about the retina. It involves algorithms such as log polar transformation, Gaussian filters, Gabor Wavelets, etc. Overall, the system is implemented into recognition and able to perform some tracking abilities.\",\"PeriodicalId\":194815,\"journal\":{\"name\":\"2008 IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CITISIA.2008.4607324\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITISIA.2008.4607324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial visual system algorithm applied on face recognition and tracking
The development of an artificial visual system consists of several algorithms based on the biological human eye sight, particularly about the retina. It involves algorithms such as log polar transformation, Gaussian filters, Gabor Wavelets, etc. Overall, the system is implemented into recognition and able to perform some tracking abilities.