Chung-Hua University Repository:Item 987654321/31137
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 8557/14866 (58%)
Visitors : 1423138      Online Users : 1320
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/31137


    Title: An Adaboost-Based Facial Expression Recognition Method
    Authors: 鄭芳炫
    Cheng, Fang Hsuan
    Contributors: 資訊工程學系
    Computer Science & Information Engineering
    Keywords: Facial Expression Recognition;Local Binary;Pattern;Weighted Local Directional Pattern;Principal Component Analysis;Support Vector Machine
    Date: 2011
    Issue Date: 2014-06-27 01:21:27 (UTC+8)
    Abstract: A method of combining Weighted Local Directional Pattern (WLDP) and Local Binary Pattern (LBP) for facial expression recognition is proposed. First, WLDP and LBP are applied to extract human facial features. Second, principle component analysis (PCA) is u
    Appears in Collections:[Department of Computer Science and Information Engineering] Seminar Papers

    Files in This Item:

    File Description SizeFormat
    s_e331_0134.pdf29KbAdobe PDF221View/Open


    All items in CHUR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback