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研究生: 黃亮軒
Liang-Syuan Huang
論文名稱: 筆觸與色塊分離之動畫向量化
Cartoon Animation Vectorization Based on Stroke and Region Separation
指導教授: 姚智原
Chih-Yuan Yao
口試委員: 賴祐吉
Yu-Chi Lai
阮聖彰
Shanq-Jang Ruan
朱宏國
Hung-Kuo Chu
王昱舜
Yu-Shuen Wang
學位類別: 碩士
Master
系所名稱: 電資學院 - 資訊工程系
Department of Computer Science and Information Engineering
論文出版年: 2015
畢業學年度: 103
語文別: 中文
論文頁數: 68
中文關鍵詞: 動畫向量化影像分解筆觸與區塊分解基於筆觸的向量化基於區塊的向量化連續性追蹤
外文關鍵詞: cartoon vectorization, stroke and patch decomposition, patch-based and stroke-based vectorization, temporaltracking
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  • 動畫是老少咸宜的影片,使用色塊構成的動畫角色與聲優的配音讓觀眾體會到藝術家想傳達的精神,而向量化的重點主要在於,向量化能壓縮影像資訊,取得放大不失真的特性,並增加影像的可編輯性,例如筆觸的粗細與明暗。本論文將動畫影格中的觸與色塊分別做向量化處理,能產生有銳利筆觸的向量化結果,並維持了筆觸在動畫中的連續性。在過去的影像向量化由於沒有筆觸與色塊分開向量化的概念,在筆觸的向量化上並沒有針對筆觸的特性最佳化,而我們的方法能讓筆觸與色塊各自以最佳的表示方式記錄及生成,並在動畫中維持連續性。在我們的系統中,輸入資料為動畫連續影格,處理的過程分程單張影像分解與影片連續性處理。單張影像的處理,首先將原圖做白平衡後,從影條中萃取出筆觸與顏色邊界曲線,將顏色邊界曲線三角化並分割顏色區塊。找尋影格中顏色區塊與筆觸計算對應關係,藉由對應關係能維持動畫中區塊與筆觸的連續性。我們的系統能輸入一段動畫影片經過處理,得到筆觸明顯,不閃爍跳動的動畫向量化結果。


    This paper presents a vectorization system for cartoon animation.
    Our vectorization method is based on processing separately from stroke and region. We can generate outputs that are visually flicker-free and with clear stroke. We use image decomposition algorithm to do vectorization separately on stroke and region, and supporting color model for each region.
    To ensure temporal coherence in the output, we use region tracking algorithm for all frames to maintain region's color and shape.
    The contributions of this paper are:
    1) individual handling for strokes during image decomposition process to produce results with sharpen strokes.
    2) generating flicker-free results by maintaining region coherence for all frames.

    1 序論 1.1 研究背景與動機 1.2 論文貢獻 1.3 論文架構 2 相關研究 2.1 圖片向量化 2.2 動畫向量化 3 論文簡介 4 研究方法 4.1 影像預處理 4.2 動畫特徵截取 4.2.1 顏色邊界萃取 4.3 顏色特徵萃取 4.3.1 裝飾曲線萃取 4.3.2 筆觸向量化 4.4 修補筆觸 4.5 計算移動距陣 4.6 前景區塊萃取 4.7 動態場景之區塊對應 5 實驗結果 6 結論與未來展望 7 參考文獻

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