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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/93529


    Title: Real-Time Feature Descriptor Matching via a Multi-Resolution Exhaustive Search Method
    Authors: Tsai, Chi-Yi;Tsao, An-Hung;Wang, Chuan-Wei
    Contributors: 淡江大學電機工程學系
    Keywords: descriptor matching;linear exhaustive search;L1 norm pyramid;multi-resolution examination
    Date: 2013-09
    Issue Date: 2014-01-21 15:12:11 (UTC+8)
    Publisher: Tortola: Academy Publisher
    Abstract: 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.
    Relation: Journal of Software 8(9), pp.2197-2201
    DOI: 10.4304/jsw.8.9.2197-2201
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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