{"title":"Collective steropsis on the hypercube","authors":"R. Battiti","doi":"10.1145/63047.63053","DOIUrl":null,"url":null,"abstract":"A cooperative algorithm for extracting disparity information from stereo image pairs has been implemented on the NCUBE hypercube computer.\nSoftware is written in C-langauge, using communication routines of the “Crystalline Operating System” CrOSIII designed at Caltech within the Caltech Concurrent Computation Program. Some tests have been done using Julesz's random-dot stereograms.\nAlthough the software is reasonably versatile and can be easily adapted for different flavors of stereo algorithms, the method used is that presented by Marr and Poggio [REF.1].\nAs a preliminary stage for the stereo matching problem, a “filtering” program to extract physically meaningful primitives from images of a given scene has been written and tested on various types of images.","PeriodicalId":299435,"journal":{"name":"Conference on Hypercube Concurrent Computers and Applications","volume":"123 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Hypercube Concurrent Computers and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/63047.63053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
A cooperative algorithm for extracting disparity information from stereo image pairs has been implemented on the NCUBE hypercube computer.
Software is written in C-langauge, using communication routines of the “Crystalline Operating System” CrOSIII designed at Caltech within the Caltech Concurrent Computation Program. Some tests have been done using Julesz's random-dot stereograms.
Although the software is reasonably versatile and can be easily adapted for different flavors of stereo algorithms, the method used is that presented by Marr and Poggio [REF.1].
As a preliminary stage for the stereo matching problem, a “filtering” program to extract physically meaningful primitives from images of a given scene has been written and tested on various types of images.