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研究生: 葉展岱
Chan-Tai Yeh
論文名稱: 多層紋理重組
Texture Matting
指導教授: 陳煥宗
Hwann-Tzong Chen
口試委員:
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 資訊工程學系
Computer Science
論文出版年: 2008
畢業學年度: 96
語文別: 英文
論文頁數: 45
中文關鍵詞: 紋理重組影像組合法向量平面
外文關鍵詞: Texture Synthesis, Image Matting, Normal Surface
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  • 本論文的主要目的是將多層次的紋理片段,重組於單張圖片中的物體表面。我們提出了一個新的紋理合成方法,針對多層次的半透明紋理,能夠合成出效果更為逼真的紋理。整體的處理架構可以分成兩個部份:首先,我們必須將小張的多層次紋理樣本,重組成更大的紋理影像;其次,以每一個像素為單位,計算出其各自的法向量,並以法向量的方向為基準,將法向量相似的像素聚合成單一平面,作為紋理重組的基本單位。和之前方法的不同之處,是我們在重組紋理片段時,不將其視為單層的紋理,而是將重疊區域視為多層片段的堆疊,依據每一個像素的前景機率做處理,並保留每一單層片段的紋理特徵。在平面法向量的推算過程中,我們試圖重建出一個近似的物體表面結構,並將多層次紋理依據平面法向量重組在物體表面上。除此之外,我們還可以將具有不同紋理的物件作結合,利用其前景機率產生各種不同的視覺效果。


    The aim of this work is to transfer natural layered textures onto an unknown surface shown in a single image. The process of transferring textures can thus be divided into two parts: First, we need to recover the surface normals from the input image; second, we use a small template of natural texture to synthesize a large texture map, and then try to transfer it onto the surface according to the recovered surface normals. To produce visually pleasing results of texture transfer, we introduce a novel method of texture transfer called ''texture matting'' which can deal with layered texture and preserve their transparency to represent the layered effect.

    Chapter 1 Introduction 1.1 Related Work 1.1.1 Recovering surface normals 1.1.2 Matting 1.1.3 Texture synthesis 1.2 Problem Description and Thesis Organization Chapter 2 Algorithms 2.1 Overview 2.2 Image Matting 2.2.1 Constraints 2.2.2 Implementation Details 2.2.3 Discussion 2.3 Texture Synthesis 2.3.1 Image Quilting 2.3.2 Our Way of Quilting 2.3.3 Discussion 2.4 Surface Normal Reconstruction 2.4.1 Normal Recovery 2.4.2 Surface Segmentation 2.4.3 Surface Patch Orientation 2.4.4 Luminance Recovery 2.4.5 Multi-layer Textures 2.4.6 Discussion Chapter 3 Experimental Results 3.1 Texture Matting 3.2 Texture Transfer 3.3 Discussions 3.3.1 Texture Matting Chapter 4 Conclusion and Future Work 4.1 Conclusion 4.2 Future Work

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    [2] Yung-Yu Chuang, Brian Curless, David Salesin, and Richard Szeliski. A bayesian approach to digital matting. In CVPR (2), pages 264-271, 2001.
    [3] Alexei A. Efros and William T. Freeman. Image quilting for texture synthesis and transfer. In SIGGRAPH, pages 341-346, 2001.
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    [5] Cheng en Guo, Song Chun Zhu, and Ying Nian Wu. Modeling visual patterns by integrating descriptive and generative methods. International Journal of Com-puter Vision, 53(1):5-29, 2003.
    [6] Hui Fang and John C. Hart. Textureshop: texture synthesis as a photograph editing tool. ACM Trans. Graph., 23(3):354-359, 2004.
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    [8] Vivek Kwatra, Arno Schodl, Irfan A. Essa, Greg Turk, and Aaron F. Bobick. Graphcut textures: image and video synthesis using graph cuts. ACM Trans. Graph., 22(3):277-286, 2003.
    [9] Anat Levin, Dani Lischinski, and Yair Weiss. A closed form solution to natural image matting. In CVPR (1), pages 61-68, 2006.
    [10] Mark A. Ruzon and Carlo Tomasi. Alpha estimation in natural images. In CVPR, pages 1018-1025, 2000.
    [11] Jian Sun, Jiaya Jia, Chi-Keung Tang, and Heung-Yeung Shum. Poisson matting. ACM Trans. Graph., 23(3):315-321, 2004.
    [12] Jue Wang, Maneesh Agrawala, and Michael F. Cohen. Soft scissors: an interactive
    tool for realtime high quality matting. ACM Trans. Graph., 26(3):9, 2007.
    [13] Li-Yi Wei and Marc Levoy. Fast texture synthesis using tree-structured vector
    quantization. In SIGGRAPH, pages 479-488, 2000.

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