English  |  正體中文  |  简体中文  |  Items with full text/Total items : 58323/91877 (63%)
Visitors : 14362845      Online Users : 109
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/98489

    Title: An Improved Depth Image Inpainting
    Authors: Hsieh, Chieh-Fu;Yih, Chi-Hsiao;Hsieh, Ching-Tang
    Contributors: 淡江大學電機工程學系
    Keywords: Depth camera;Depth image;Inpainting
    Date: 2014-07-12
    Issue Date: 2014-08-07 18:01:57 (UTC+8)
    Publisher: Taipei:Asia-Pacific Education & Research Association
    Abstract: In recent years, the price of depth camera became low, so that researchers can use depth camera to do more application. For computer vision, depth images can provide more useful information. However, generally there are some problems in depth image, such as holes, incomplete edge, and temporal random fluctuations. Conventional inpainting approach must rely on color image and it cannot be processed in real time. Therefore, this paper proposes a real time depth image inpainting method. First, we use background subtraction and mask filter to patch up the no-measured pixels, and then using the relationship between successive depth images to remove temporal random fluctuations. Finally, using erosion and dilation smooth the edge. Experimental results outperform than traditional one.
    Relation: Proceedings of International Research Conference on Information Technology and Computer Sciences, pp.15-23
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

    Files in This Item:

    File Description SizeFormat
    IRCITCS-265_An Improved Depth Image Inpainting.pdf會議論文內容708KbAdobe PDF285View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

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