{"title":"早期视觉处理的动态模型","authors":"Lin Ma, Nan-Ning Zheng, Ze-Jian Yuan","doi":"10.1109/ICCEE.2008.187","DOIUrl":null,"url":null,"abstract":"A novel model of the visual preprocessing was proposed , which is derived itself from the known structure of the retina and its dynamic processing for the physiological signals and improved by the demand driving of machine vision application. The model can rapidly detect the probability of the potential objects of interest or threats at every position in the video frames to immediately respond the emerging stimulus of vision.","PeriodicalId":365473,"journal":{"name":"2008 International Conference on Computer and Electrical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Dynamic Model for Early Vision Processing\",\"authors\":\"Lin Ma, Nan-Ning Zheng, Ze-Jian Yuan\",\"doi\":\"10.1109/ICCEE.2008.187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel model of the visual preprocessing was proposed , which is derived itself from the known structure of the retina and its dynamic processing for the physiological signals and improved by the demand driving of machine vision application. The model can rapidly detect the probability of the potential objects of interest or threats at every position in the video frames to immediately respond the emerging stimulus of vision.\",\"PeriodicalId\":365473,\"journal\":{\"name\":\"2008 International Conference on Computer and Electrical Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Conference on Computer and Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEE.2008.187\",\"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 International Conference on Computer and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEE.2008.187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel model of the visual preprocessing was proposed , which is derived itself from the known structure of the retina and its dynamic processing for the physiological signals and improved by the demand driving of machine vision application. The model can rapidly detect the probability of the potential objects of interest or threats at every position in the video frames to immediately respond the emerging stimulus of vision.
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