English  |  正體中文  |  简体中文  |  Items with full text/Total items : 888/888 (100%)
Visitors : 13638622      Online Users : 313
RC Version 7.0 © 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://ccur.lib.ccu.edu.tw/handle/A095B0000Q/793


    Title: 基於全景影像作特徵配對實現視角辨識之角度計算;Panorama Feature Matching for Viewpoint Angle Recognition
    Authors: 林久丙;LIN, JIOU-BING
    Contributors: 通訊工程研究所
    Keywords: 影像辨識;影像計算;全景;方向辨識;特徵辨識;Image Calculation;Panorama;Direction Recognition;Feature Matching;Image Matching
    Date: 2017
    Issue Date: 2019-07-17 10:47:52 (UTC+8)
    Publisher: 通訊工程研究所
    Abstract:   隨著現今科技的發展,行動裝置不斷的進步,帶給了人們有別以往不同的生活體驗,如何利用行動裝置帶來更多資訊成了一個議題,因此我們提出了一個方法,在基於全景照片中,將行動裝置所拍下的畫面傳送到伺服器進行運算,進而得到確切的視角。  在自助旅行越來越普及的情況下,旅行者在身處異地時,會遇到一個看著地圖卻不知道自己面向甚麼方向應對到甚麼景象的問題,於是本篇研究提供了一個新的解決方案,Panorama Feature Matching for Viewpoint Angle Recognition(PFM-VAR),其目的為找到使用者的正確視角,以提供更多資訊,我們將使用者所傳送的照片做特徵辨識運算,將特徵區域的邊界的欄位像素值加以運算,與資料庫的全景照進行匹配,進而計算出使用者的視角,藉此來達到使用者回傳影像即能獲得正確視角的目標。
      With the progress of technology, the mobile devices brought us different kinds of life experiences. The traveler will face a problem that he/she does not know which direction should correspond to which scene even with map. We propose a solution, Panorama Feature Matching for Viewpoint Angle Recognition (PFM-VAR), to help users gain the correct direction. The experiment results show the proposed approach is able to achieve high accuracy compared to existing approaches.
    Appears in Collections:[通訊工程研究所] 學位論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML387View/Open


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


    版權聲明 © 國立中正大學圖書館網頁內容著作權屬國立中正大學圖書館

    隱私權及資訊安全政策

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