并行树搜索在目标识别中的问题

Q4 Computer Science 模式识别与人工智能 Pub Date : 1992-08-30 DOI:10.1109/ICPR.1992.202172
C. Reinhart, R. Nevatia
{"title":"并行树搜索在目标识别中的问题","authors":"C. Reinhart, R. Nevatia","doi":"10.1109/ICPR.1992.202172","DOIUrl":null,"url":null,"abstract":"The authors describe the parallel implementation of a 3D object recognition algorithm. The algorithm is representative of methods utilized by various computer vision researchers and presents some interesting problems that are generally overlooked by parallel processing researchers that have studied tree search problems. They describe their objectives in developing the parallel implementation and discuss its performance. They also (briefly) discuss the affects that the parallel implementation has on the runtime characteristics of the algorithm.<<ETX>>","PeriodicalId":34917,"journal":{"name":"模式识别与人工智能","volume":"21 1","pages":"225-228"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Issues in parallel tree search for object recognition\",\"authors\":\"C. Reinhart, R. Nevatia\",\"doi\":\"10.1109/ICPR.1992.202172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors describe the parallel implementation of a 3D object recognition algorithm. The algorithm is representative of methods utilized by various computer vision researchers and presents some interesting problems that are generally overlooked by parallel processing researchers that have studied tree search problems. They describe their objectives in developing the parallel implementation and discuss its performance. They also (briefly) discuss the affects that the parallel implementation has on the runtime characteristics of the algorithm.<<ETX>>\",\"PeriodicalId\":34917,\"journal\":{\"name\":\"模式识别与人工智能\",\"volume\":\"21 1\",\"pages\":\"225-228\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"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.1992.202172\",\"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.1992.202172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 3

摘要

作者描述了一种三维物体识别算法的并行实现。该算法代表了各种计算机视觉研究人员所使用的方法,并提出了一些有趣的问题,这些问题通常被研究树搜索问题的并行处理研究人员所忽视。他们描述了开发并行实现的目标,并讨论了其性能。他们还(简要地)讨论了并行实现对算法运行时特性的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Issues in parallel tree search for object recognition
The authors describe the parallel implementation of a 3D object recognition algorithm. The algorithm is representative of methods utilized by various computer vision researchers and presents some interesting problems that are generally overlooked by parallel processing researchers that have studied tree search problems. They describe their objectives in developing the parallel implementation and discuss its performance. They also (briefly) discuss the affects that the parallel implementation has on the runtime characteristics of the algorithm.<>
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
模式识别与人工智能
模式识别与人工智能 Computer Science-Artificial Intelligence
CiteScore
1.60
自引率
0.00%
发文量
3316
期刊介绍:
期刊最新文献
Pattern Recognition and Artificial Intelligence: 5th Mediterranean Conference, MedPRAI 2021, Istanbul, Turkey, December 17–18, 2021, Proceedings Pattern Recognition and Artificial Intelligence: Third International Conference, ICPRAI 2022, Paris, France, June 1–3, 2022, Proceedings, Part I Pattern Recognition and Artificial Intelligence: Third International Conference, ICPRAI 2022, Paris, France, June 1–3, 2022, Proceedings, Part II Conditional Graph Pattern Matching with a Basic Static Analysis Ensemble Classification Using Entropy-Based Features for MRI Tissue Segmentation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1