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研究生: 莊臺寶
Tai-pao Chuang
論文名稱: 立體攝影辨識物體景深的技術應用於戶外場景
Use of Stereoscopic Photography to Distinguish Object Depth in Outdoor Scene
指導教授: 李忠謀
Lee, Chung-Mou
學位類別: 碩士
Master
系所名稱: 資訊教育研究所
Graduate Institute of Information and Computer Education
論文出版年: 2005
畢業學年度: 94
語文別: 英文
論文頁數: 48
中文關鍵詞: 立體攝影視差數位照相機迴歸方程式景深
英文關鍵詞: Stereoscopic, parallax, digital camera, the regression equation, depth
論文種類: 學術論文
相關次數: 點閱:119下載:13
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  • 立體感知是由於人類雙眼視差所產生的兩張影像,合成後自然形成的感受。也因為如此,人才能識別物體的相對位置。
    有關立體視覺的研究中,有些著眼於模擬兩眼取像的架構,分別由一或二台照相機,前後或同時取得一組視差影像;有些則是著重於視差影像相對位置的理論分析,有些是以視差影像為素材進行影像分析比對,分類等工作。
    本研究,主要分為二部份:首先,是以一台照相機,在不同位置上各拍攝一次,取得一組視差影像,並對此組視差影像進行分析,求取照相機內部與外部的計算參數。其次,利用照相機的內外部參數,推估其他組視差影像中,各個不同物件的相對位置。
    本研究,使用Casio Z4與Pentax S5i二種廠牌的數位照相機進行實驗,分別求得照相機的參數,得迴歸方程式,並以此參數進行物體景深推估。Casio照相機的迴歸方程式為 zd =24.028×b,焦距為24.028;Pentax照相機的迴歸方程式為 zd =25.637×b,焦距為25.637。其中:z: 標記物件與照相機的距離(單位為公尺),d:兩張視差影像中,對應的標記物件間之間距(單位為像素),b: 兩次拍攝相機的水平距離(單位為公分)。並在師大圖書館美術展場,分部校園進行取像,並分析各物件的景深。

    Stereoscopic scene of the mankind is naturally caused by synthesizing two images produced by the parallax of the two eyes of human. Such being the case, mankind can distinguish the relative position of the objects.
    In the study of related stereovision, some persons aim at the framework of taking simulated images with two eyes using one or two cameras from front and back or simultaneously at the same time to obtain a pair of parallax mages; someone pay more attention to the theoretical analysis of the relative positions of the parallax images, and some others do the work of using parallax images as material to carry out the job of image classification, comparison and analysis.
    The study is mainly divided into two parts: Firstly, we used a camera to take a shot on each different position to obtain a set of parallax images and perform analysis on this set of parallax images, so as to get the calculation the intrinsic and extrinsic parameters of the camera and find the regression equation. Secondly, we use the equation to estimate the relative positions of each different object in the every set of parallax images.
    The study used two kinds of digital cameras, i.e. Casio Z4 and Pentax S5i to carry out the experiment to obtain individual camera’s parameter. We find the regression equation as follow, and we use it to estimate the object distance. For Casio, the regression equation is zd=24.028×b, and its focus is 24.028. For Pentax, the regression equation is zd=25.637×b, and its focus is 25.637. Of them: z: the distance between marker and camera (m), d: the disparity of the corresponding point (pixel), b: base line between two shots(cm). We took images at the Exhibition Center of Fine Arts of the Library of National Taiwan Normal University and the campus of its Branch School, and analyzed each object’s image depth.

    List of Figures ……………………………………………..…………III List of Tables …………………………………..…………………………IV 1 Introduction…………………………………………………………………1 1.1 Motivation of Research……………………………………………..1 1.2 Purpose of Research………………………………………………...1 1.3 Scope and Restriction of Research……………………………….2 1.4 Key Terms………………………………………………………………..2 1.5 Content and Organization…………………………………………..4 2 Review of Literature ……………………………………………..….6 2.1 Review of Architectural Stereo System……………………….6 2.2 Stereo Analysis……………………………………………………....8 3 The Geometry of Multiple Views…………………………………..11 3.1 Depth Perception Methodology………………………………….11 3.2 Calculation Methodology…………………………………………..16 4 Experimental Method and Results……………………..........17 4.1 Equipment………………………………………………………………..17 4.2 Experimental Designs………………………………………………..18 4.3 Data Analysis ………………………………………………………..20 4.4 Calculation of Parameter…………………………………………..23 4.5 Application of Distance Estimation …………………………29 5 Conclusion and Further Research…….…………………………..32 5.1 Conclusion……………………………………………………………...32 5.2 Future Research………………………………………………………..33 Appendix ……...…………...……………………………………………..36 A.1 The disparity of the marker in different b value for Pentax....................36 A.2 The disparity of the marker in different b value for Casio......................38 A.3 z×d value with different base line for Pentax........40 A.4 z×d value with different base line for Casio……………43 Reference ………………………………………………………………………47

    [1] A. P. Pentland, “A New Scene for Depth of Field,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 9, pp. 523-531, 1987.
    [2] C. H. Lo1, and A. Chalmers, “Stereo Vision for Computer Graphics: The Effect that Stereo Vision has on Human Judgments of Visual Realism ,” Proceedings of the conference on Computer graphics, Apr. 2003.
    [3] D. A. Forsyth and J. Ponce, “Computer Vision a Modern Approach,” Prentice Hall, 2003.
    [4] D. H. Lee and I. Kweon, “A Novel Stereo Camera System by a Biprism,” IEEE Transactions on Robotics and Automation, vol. 16, no. 5, Oct. 2000.
    [5] D. Marr and T. Poggio, “Co-Operative Computation of Stereo Disparity,” Science, vol.194, pp. 283-287, 1976.
    [6] D. Scharstein and R. Szeliski, “A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms,” International Journal of Computer Vision, vol. 47, pp. 7-42, 2002.
    [7] H. H. Wu, C. Y. Hung, P. K. Weng, and Y.Y. Wu, “Rectification of Stereoscopic Video Based on Affine Epipolar Geometry,” IPPR Conference on Computer Vision, Graphics and Image Processing, pp. 1608-1614, Aug. 2005.
    [8] http://www.vr.com.tw/photography.htm, Introduction of stereophotograph.

    [9] O. Faugeras, “Three-Dimensional Computer Vision: A Geometric Viewpoint,” ACM SIGART Bulletin, vol. 6, issue 1, Jan. 1995.
    [10] P. Lavoie, D. Ionescu, and M. Petriu, “3-D Object Model Recovery From 2-D Images Using Structured Light,” IEEE Transactions on Instrumentation and Measurement, vol. 53, no. 2, pp. 437-443, Apr. 2004.
    [11] S. T. Barnard and M. A. Fischler, “Computational Stereo,” ACM Computer Surveys, vol. 14, no. 4, pp. 553-572, Dec. 1982.
    [12] S. T. Barnard and W. B. Thompson, “Disparity Analysis of Images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 2, pp. 333-339, 1980.
    [13] T. P. Chuang and G. Lee, “Depth Perception Methodology in Stereoscopic Photograph,” IPPR Conference on Computer Vision, Graphics and Image Processing, pp. 1718-1724, Aug. 2005.
    [14] T. V. Papathomas, J. A. Schiavone, and B. Julesz, “Applications of Computer Graphics to The Visualization of Meteorological Data,” Proceedings of the annual conference on Computer graphics and interactive techniques, vol. 22, issue 4, Jun. 1988.

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