淡江大學機構典藏:Item 987654321/93529
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 58323/91877 (63%)
造访人次 : 14380188      在线人数 : 117
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/93529


    题名: Real-Time Feature Descriptor Matching via a Multi-Resolution Exhaustive Search Method
    作者: Tsai, Chi-Yi;Tsao, An-Hung;Wang, Chuan-Wei
    贡献者: 淡江大學電機工程學系
    关键词: descriptor matching;linear exhaustive search;L1 norm pyramid;multi-resolution examination
    日期: 2013-09
    上传时间: 2014-01-21 15:12:11 (UTC+8)
    出版者: Tortola: Academy Publisher
    摘要: Feature descriptor matching plays an important role in many computer vision applications. This paper presents a novel fast linear exhaustive search algorithm combined with a multi-resolution candidate elimination technique to deal with this problem efficiently. The proposed algorithm is inspired from the existing multi-resolution image retrieval approaches, but releasing the requirement on a norm-sorted database with pre-computed multi-resolution tables. This helps to increase the applicability of the proposed method. Moreover, the computations of candidate elimination are fully performed using a simple L1 distance metric, which is able to speedup the entire search process without loss of accuracy. This property leads to an accurate feature descriptor matching algorithm with real-time performance, which will be validated in the experiments by testing with the matching of SURF descriptors.
    關聯: Journal of Software 8(9), pp.2197-2201
    DOI: 10.4304/jsw.8.9.2197-2201
    显示于类别:[電機工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML168检视/开启
    T048author__Biographies.pdf論文678KbAdobe PDF356检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈