{"title":"阵列相机采样优化","authors":"Minghao Hu, D. Brady","doi":"10.1364/cosi.2022.cth4c.6","DOIUrl":null,"url":null,"abstract":"We consider sampling system optimization in the context of deep-learning-based data fusion for dynamic high depth of field events, such as baseball. We show that multiscale spatio-spectral-focal-temporal sampling is ideal.","PeriodicalId":286361,"journal":{"name":"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Array Camera Sampling Optimization\",\"authors\":\"Minghao Hu, D. Brady\",\"doi\":\"10.1364/cosi.2022.cth4c.6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider sampling system optimization in the context of deep-learning-based data fusion for dynamic high depth of field events, such as baseball. We show that multiscale spatio-spectral-focal-temporal sampling is ideal.\",\"PeriodicalId\":286361,\"journal\":{\"name\":\"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/cosi.2022.cth4c.6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/cosi.2022.cth4c.6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We consider sampling system optimization in the context of deep-learning-based data fusion for dynamic high depth of field events, such as baseball. We show that multiscale spatio-spectral-focal-temporal sampling is ideal.