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研究生: 廖崇辰
Liao, Chung-Chen
論文名稱: 應用於立體影片製作之3D電腦繪圖特效編輯系統
3D Computer Graphic Special Effect Editing Systems for Multi-View Video Production
指導教授: 楊家輝
Yang, Jar-Ferr
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電腦與通信工程研究所
Institute of Computer & Communication Engineering
論文出版年: 2011
畢業學年度: 99
語文別: 英文
論文頁數: 65
中文關鍵詞: 電腦圖學立體影像產生三維模型2D/3D轉換視差
外文關鍵詞: Computer Graphic, Stereo Image Generation, 3D Model, 2D-to-3D Conversion, Disparity
相關次數: 點閱:170下載:2
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  • 隨著立體液晶螢幕技術的逐漸進步,人們將不再需要配戴立體眼鏡便可使用裸眼視覺來欣賞立體影像。近期,由於3D內容之缺乏,越來越多的研究放在如何立體影片之製作技術。電腦圖學中三維模型(3D model)的製作以及其動作的生成,一直是重要的研究,主要原因是良好的三維模型,在製作上相當困難以及耗費時間,在應用上總是帶來許多負擔。本論文中主要的研究是希望能夠用影像處理的技術來實現一個3D電腦繪圖特效編輯系統讓使用者可建造3D 文字以及模型,且使用光照系統讓3D 文字以及模型看起來更真實,並讓使用者可以定義特殊的移動,並合成至現存3D 影片中。

    With the recent 3D display technology improvements, people now can perceive 3D visual effects in 3D display systems without wearing 3D glasses. However, due to the lack of 3D special effect contents, 3D content generation technique becomes more and more important in the near future. The generation of 3D models and their animation in the computer graphics research is an important research topic. The main reason is the difficulty to create a delicate 3D model. The process of 3D content creation usually costs a lot and wastes time. This research will propose 3D Computer Graphic Special Effect Editing Systems that enables the users to create 3D words and read 3D models to rapidly produce well-designed 3D videos. By using lighting control, the proposed could make the 3D words and models more realistic and well matched up with existing 3D videos, while the movement of the models can be defined by the users. Then the special effects created by the users can be easily synthesized into existing 3D contents.

    Table of Contents 1 Introduction 1 1.1 Background 1 1.1.1 Concepts of stereoptical cue for depth perception 3 1.1.2 Trends in stereoscopic display device 5 1.2 Motivation 10 1.3 Organization of thesis 10 2 Previous 3D Content Generation 11 2.1 Capturing of real-world images 12 2.2 Converted from 2D images 14 2.2.1 Depth estimation from single monocular image 16 2.2.2 Stereoscopic image pair generation without depth 17 2.3 Computer graphics 18 2.3.1 Introduction to OpenGL 19 3 The Proposed Drawing System 20 3.1 Overview of system 20 3.2 Lighting condition 21 3.2.1 Ambient, diffuse, and specular lights 22 3.2.2 Material colors 23 3.2.3 Lighting operation of texts and objects 24 3.3 Shadow mapping 28 3.3.1 Projection shadows 29 3.4 Movement definition 31 3.4.1Translation matrix 32 3.4.2 Rotation matrix 33 3.4.3 Scale matrix 36 3.4.4 Adding word rim 38 3.4.5 Adding Photo rim 41 3.5 OpenGL setting system 42 3.5.1 Forward calculation 44 3.5.2 Reverse calculation 46 3.5.3 The relationship between word and window 47 3.6 Combining method 48 3.6.1 Depth refinement 49 3.6.2 Depth-Image-Based Rendering 50 4 Experimental Results 53 5 Conclusions and Future Works 60 5.1 Conclusions 60 5.2 Future works 60 References 61 作 者 簡 歷 65

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