{"title":"使用零交叉在固定大小的阵列上平行立体","authors":"P. Chakrapani, A. Khokhar, V. Prasanna","doi":"10.1109/ICPR.1992.202135","DOIUrl":null,"url":null,"abstract":"Presents a processor-time optimal partitioned implementation of a stereo matching algorithm using zero crossing points as matching primitives. The authors provide O(nm/P) time algorithm on square root P* square root P processor mesh array, where n is the number of zero crossing points in the left image, m is the set of possible candidate points in the right image for a given zero crossing point, and 1<or=P<or=n. The sequential algorithm takes O(nm/sup 2/) time while the faster sequential algorithm shown in the paper runs in O(nm) time.<<ETX>>","PeriodicalId":34917,"journal":{"name":"模式识别与人工智能","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Parallel stereo on fixed size arrays using zero crossings\",\"authors\":\"P. Chakrapani, A. Khokhar, V. Prasanna\",\"doi\":\"10.1109/ICPR.1992.202135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents a processor-time optimal partitioned implementation of a stereo matching algorithm using zero crossing points as matching primitives. The authors provide O(nm/P) time algorithm on square root P* square root P processor mesh array, where n is the number of zero crossing points in the left image, m is the set of possible candidate points in the right image for a given zero crossing point, and 1<or=P<or=n. The sequential algorithm takes O(nm/sup 2/) time while the faster sequential algorithm shown in the paper runs in O(nm) time.<<ETX>>\",\"PeriodicalId\":34917,\"journal\":{\"name\":\"模式识别与人工智能\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"模式识别与人工智能\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1992.202135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"模式识别与人工智能","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.202135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
Parallel stereo on fixed size arrays using zero crossings
Presents a processor-time optimal partitioned implementation of a stereo matching algorithm using zero crossing points as matching primitives. The authors provide O(nm/P) time algorithm on square root P* square root P processor mesh array, where n is the number of zero crossing points in the left image, m is the set of possible candidate points in the right image for a given zero crossing point, and 1>