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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/101837


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/101837


    Title: Local binary pattern special investigation based on search image face texture recognition
    Authors: Hu, Hsien-Ch;Hu, Hsien-Chih;Chou, Hsin-C;Chou, Hsin-Ching;陳永欽;CHEN*, YEONG-CHIN;Yi, Chang-Pe;Yi, Chang-Pei
    Contributors: 資訊工程學系
    Date: 2016-08
    Issue Date: 2016-12-05 14:56:44 (UTC+8)
    Abstract: The local binary pattern approach, a texture descriptor method proposed by Ojala et al., has gained increased acceptance due to its computational simplicity and more importantly for encoding a powerful signature for describing textures. LBP feature extraction of edge face detection, in the light of with human face discrimination influence different angles test recognition efficiency. The algorithm presents some limitations such as lack of rotational invariance which have led to many proposals or extensions in order to overcome such limitations. In this paper we performed a modified algorithm of the original LBP proposal together with other recently proposed LBP extensions. Experimental results demonstrated the effectiveness and robustness of the described texture descriptors for images that are subjected to geometric or radiometric changes.
    Relation: Computer, Consumer and Control (IS3C), 2016 International Symposium on
    Appears in Collections:[資訊工程學系] 期刊論文

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