{"title":"用于感知和生成图像的模型(分形或其他)","authors":"A. Pentland","doi":"10.1145/800171.809632","DOIUrl":null,"url":null,"abstract":"Perception is best understood as the interpretation of sensory data in terms of models of how the world is structured and how it behaves; these models are exactly those that are most useful for generation of computer images. By recognizing and exploiting this commonality we have been able to make surprising progress in both fields.","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"8 1","pages":"228-229"},"PeriodicalIF":0.0000,"publicationDate":"1984-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Models (fractal and otherwise) for perception and generation of images\",\"authors\":\"A. Pentland\",\"doi\":\"10.1145/800171.809632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Perception is best understood as the interpretation of sensory data in terms of models of how the world is structured and how it behaves; these models are exactly those that are most useful for generation of computer images. By recognizing and exploiting this commonality we have been able to make surprising progress in both fields.\",\"PeriodicalId\":72321,\"journal\":{\"name\":\"ASSETS. Annual ACM Conference on Assistive Technologies\",\"volume\":\"8 1\",\"pages\":\"228-229\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1984-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ASSETS. Annual ACM Conference on Assistive Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/800171.809632\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASSETS. Annual ACM Conference on Assistive Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/800171.809632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Models (fractal and otherwise) for perception and generation of images
Perception is best understood as the interpretation of sensory data in terms of models of how the world is structured and how it behaves; these models are exactly those that are most useful for generation of computer images. By recognizing and exploiting this commonality we have been able to make surprising progress in both fields.
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