{"title":"超立方体上的集体立体视觉","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":"{\"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}","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}
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.