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研究生: 吳思樺
Wu, Szu-Hua
論文名稱: 基於雙視角影像與深度資訊之視差可調多視角生成系統
A Parallax Adjustable Multi-view Rendering System based on Stereoscopic Videos with Depth Information
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: 2013
畢業學年度: 101
語文別: 英文
論文頁數: 57
中文關鍵詞: 基於深度繪圖多視角生成
外文關鍵詞: Depth-image-based Rendering, Multiview Synthesis
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  • 隨著3D立體影像技術的發展,相關的3D顯示產品也在近幾年推陳出新,然而傳統3D電視需要搭配偏光眼鏡、快門式眼鏡或紅藍眼鏡等等的配備來產生具有視差的立體視覺影像,但是,配戴眼鏡是比較不方便的,特別是在多人同時要觀看的時候。所以,為了增加3D技術的應用範圍,使它不只侷限在電影院等場所而已,裸視3D必然會是未來的趨勢發展方向。而提供多視角影像資訊可使人們在不同的位置觀賞到不同角度的立體影像,可提供人們不同的選擇與觀賞模式。本論文旨在提出一個基於雙視角影像與深度資訊的視差可調多視角生成系統,透過比單視角影像深度更豐富的視角資訊,可提供更好的影像品質;且以傳統雙視角之深度繪圖演算法為基礎,開發基於雙視角影像深度直接繪圖演算法,可直接產生具有完整多視角資訊之影像,並搭配使用繪圖處理器(GPU)來實現來大幅降低繪圖時間。

    With the development of 3D techniques, the related products are now available in recent years. However, the traditional 3D television should watch the TV to feel the stereo perception with the equipment of polarized glasses, shutter glasses or red-cyan glasses. Nevertheless, it is inconvenient to wear a pair of glasses while watching 3D television. Therefore, in order to increase the application area of 3D techniques, the naked-eye stereoscopic display must be the trend of the future development. On the other hand, the multiview display system can provide the different viewing angles to perceive stereo visions. The goal of this thesis focuses on a parallax adjustable multiview rendering system. With the rich view information, we can provide better rendering results than the system with one view plus on depth. The proposed stereo-based direct single-image multiview rendering algorithm is based on the traditional depth-image-based rendering (DIBR) algorithm. It can directly render the output image with multiview information. The proposed stereo-based parallax adjustable multiview rendering system is implemented with GPU to reduce the rendering time.

    Chapter 1 Introduction 1 1.1 Background 1 1.1.1 Depth Perception 2 1.1.2 Binocular disparity 3 1.1.3 Overview of 3D display technologies 7 1.2 Motivation 10 1.3 Organization of This Thesis 11 Chapter 2 Related Works 12 2.1 Depth-image-based rendering (DIBR) algorithm 12 2.2 General-purpose GPU (GPGPU) 14 2.1.1 Compute Unified Device Architecture (CUDA) 16 Chapter 3 The Proposed SPAMR System 20 3.1 Overview of the system 20 3.2 View relationship 22 3.3 Depth refinement by two-step nonlinear filter 24 3.4 Stereo-based Direct Single-image Multiview Rendering 28 3.4.1 Construction of fractional disparity tables 29 3.4.2 Adaptive warping candidates selection 30 3.4.3 Multiview warping 38 3.4.4 Hole-filling 42 Chapter 4 Experimental Results 44 4.1 Time consumption of various methods 45 4.2 Time analysis of kernel functions 49 4.3 Quality comparison of different systems 50 Chapter 5 Conclusions 55 References 56

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    [16]Yu-Chih Wang, Cheng-Ping Tung, and Pau-Choo Chung, “Efficient Disparity Estimation Using Hierarchical Bilateral Disparity Structure Based Graph Cut Algorithm With a Foreground Boundary Refinement Mechanism,” In Proceedings of IEEE Transaction Circuits System Video Technology, vol. 26, no.5, pp. 784-801, 2013.
    [17]Yi-Hsiang Chiu and Jar-Ferr Yang, "GPU Implementation of Versatile Multiview DIBR Algorithms", Master Thesis National Cheng Kung University, July 2012.

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