臺灣博碩士論文加值系統

在最近幾年的計算機圖學領域中，植基於筆觸成圖顯示技術一直是很熱門的研究議題。此成像技術是一種能自動創作出非擬真圖像的方法，它是藉由描繪如點刻、色彩筆觸等個別的元件來完成。
在本篇論文中，我們提出了一個新的植基於筆觸成圖演算法，我們可透過所提出的方法自動處理一張圖檔，經由一些參數設定就能產生出多種繪畫風格的影像。我們採用了許多技術來實現此成像演算法，例如：標準差、可變距離的Euler方法、線積分迴旋及隨機擾動等技術。標準差可用來決定刷筆筆觸的定位問題，可變距離的Euler方法是用來模擬刷筆筆觸的路徑軌跡，線積分迴旋技術可使用在決定刷筆筆觸的顏色，加入一些隨機擾動主要是幫助我們加強視覺上的效果。在我們的成像系統當中，我們經由原始影像產生影像的向量場資訊，每一筆筆觸都是沿著向量場來對齊，並且使用一連串多重尺寸、多重長度的刷筆筆觸來描繪一張具有畫藝風格的影像，筆觸顏色是從原始影像當中選擇對應的色彩，我們採用一種由粗糙到纖細的繪畫技巧，以及加入許多隨機擾動的控制因子來幫助刷筆筆觸更具手繪表現。
總結本研究，我們提供了一種新的產生非擬真影像的方法，使用者可隨意地控制參數設定來生成不同繪畫風格的影像，最後將展示一些實驗結果，其中可看出我們生成的影像具備令人滿意且貌似真實的視覺效果。

Chapter 1 Introduction.........................................1
1.1 Introduction.....................................1
1.2 Thesis Organization..............................5
Chapter 2 Background...........................................6
2.1 Literature Survey................................6
2.1.1 Interactive Painterly Rendering...............6
2.1.2 Single-Layer Painterly Rendering..............7
2.1.3 Multiple-Layer Painterly Rendering............9
2.1.4 LIC-Based Painterly Rendering................10
2.2 Line Integral Convolution.......................12
2.3 Research Analysis...............................15
Chapter 3 Our SBR Algorithm...................................16
3.1 Creating Brush Stroke Models....................17
3.2 Rendering Brush Strokes.........................18
3.2.1 Stroke Placement.............................19
3.2.2 Generating A Vector Field....................21
3.2.3 Painting.....................................25
3.3 Random Perturbations............................26
Chapter 4 Experimental Results................................28
4.1 Style Parameter Settings........................28
4.2 Resultant Images................................29
Chapter 5 Conclusions And Future Work .........................43
5.1 Conclusions.....................................43
5.2 Future Work......................................43
Reference ....................................................45

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