{"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}
引用次数: 0
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.