{"title":"Unsupervised tracking with a low computational cost using the doubly stochastic Dirichlet process mixture model","authors":"Xingjian Sun, N. Yung, E. Lam, Hayden Kwok-Hay So","doi":"10.2352/ISSN.2470-1173.2016.14.IPMVA-381","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2016.14.IPMVA-381","url":null,"abstract":"","PeriodicalId":262142,"journal":{"name":"Image Processing: Machine Vision Applications","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122783067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Density-based Outlier Detection by Local Outlier Factor on Largescale Traffic Data","authors":"M. X. Ma, Henry Y. T. Ngan, W. Liu","doi":"10.2352/ISSN.2470-1173.2016.14.IPMVA-385","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2016.14.IPMVA-385","url":null,"abstract":"","PeriodicalId":262142,"journal":{"name":"Image Processing: Machine Vision Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130879128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Toward a Fusion of Optical Coherence Tomography and Hyperspectral Imaging for Poultry Meat Quality Assessment","authors":"S. Yoon, B. Bowker, H. Zhuang","doi":"10.2352/ISSN.2470-1173.2016.14.IPMVA-380","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2016.14.IPMVA-380","url":null,"abstract":"","PeriodicalId":262142,"journal":{"name":"Image Processing: Machine Vision Applications","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123126164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jonas De Vylder, S. Donné, D. V. Haerenborgh, B. Goossens
{"title":"Real-time Machine Vision with GPU-acceleration using Quasar","authors":"Jonas De Vylder, S. Donné, D. V. Haerenborgh, B. Goossens","doi":"10.2352/ISSN.2470-1173.2016.14.IPMVA-375","DOIUrl":"https://doi.org/10.2352/ISSN.2470-1173.2016.14.IPMVA-375","url":null,"abstract":"The computational performance of graphical processing units (GPUs) has improved significantly, achieving even speed-up factors of 10x-50x compared to single-threaded CPU execution are not uncommon. This makes their use for high throughput machine vision very appealing. However, GPU programming is challenging, requiring a significant programming expertise. We present a new programming framework that mitigates the challenges common for GPU programming while maintaining the significant acceleration.","PeriodicalId":262142,"journal":{"name":"Image Processing: Machine Vision Applications","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132527438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of a Multi-Resolution Microscopy Image Processing System","authors":"Tomohiro Suzuki, S. Usuki, K. Miura","doi":"10.2352/J.IMAGINGSCI.TECHNOL.2015.59.6.060403","DOIUrl":"https://doi.org/10.2352/J.IMAGINGSCI.TECHNOL.2015.59.6.060403","url":null,"abstract":"","PeriodicalId":262142,"journal":{"name":"Image Processing: Machine Vision Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126298311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}