Real-Time Feature Descriptor Matching via a Multi-Resolution Exhaustive Search Method

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/93529

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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

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