淡江大學機構典藏:Item 987654321/93529
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 62822/95882 (66%)
造訪人次 : 4015238      線上人數 : 549
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/93529


    題名: Real-Time Feature Descriptor Matching via a Multi-Resolution Exhaustive Search Method
    作者: Tsai, Chi-Yi;Tsao, An-Hung;Wang, Chuan-Wei
    貢獻者: 淡江大學電機工程學系
    關鍵詞: descriptor matching;linear exhaustive search;L1 norm pyramid;multi-resolution examination
    日期: 2013-09
    上傳時間: 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
    顯示於類別:[電機工程學系暨研究所] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML256檢視/開啟
    T048author__Biographies.pdf論文678KbAdobe PDF397檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

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