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研究生: 邱俊嘉
Chiu, Chun Chia
論文名稱: 具備色調與特徵之圓弧形線條塗鴉藝術
Tone- and Feature-Aware Circular Scribble Art
指導教授: 李潤容
Lee, Ruen Rone
口試委員: 朱宏國
Chu, Hung Kuo
姚智原
Yao, Chih Yuan
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: 2015
畢業學年度: 103
語文別: 中文
論文頁數: 55
中文關鍵詞: 線條描繪風格化非真實感繪製旅行推銷員問題路徑線條塗鴉藝術
外文關鍵詞: Line drawing, Stylization, Non-photorealistic rendering, Travelling salesman problem path, Scribble art
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  • 圓弧形線條塗鴉藝術為線條描繪的一種,在微觀角度下,此圓弧形筆畫看似隨意、雜亂、毫無形體,卻在巨觀角度下,構成一幅令人驚豔的類灰階影像。此類細緻的繪圖技術,即使對天賦異稟的藝術家而言,繪製圓弧形線條塗鴉藝術仍是一項艱鉅且費時的工程。在本篇論文當中,提出了一套新的圓弧形線條塗鴉藝術自動合成系統,此合成問題,被模組化為一種參數化圓弧形曲線,並依循一條虛擬路徑繪製。為了重新呈現原輸入灰階圖之色調與特徵結構,本系統將自行調整虛擬路徑之密度與結構,並在合成過程中,動態控制參數化圓弧形曲線之大小、速度及傾斜方向。透過測試各式類型之影像作為輸入,本系統將合成其對應之圓弧形線條的塗鴉影像,以展示本系統之發展潛能,不拘限於某單一類型之輸入。此外,我們亦進行了定性與定量分析來評估此套系統產生之結果,根據評估報告顯示,本系統能有效率的產生與其他類似線條描繪、甚至是能與藝術家作品相比擬之結果。


    Circular scribble art is a kind of line drawing where the seemingly random, noisy and shapeless circular scribbles at microscopic scale constitute astonishing grayscale images at macroscopic scale. Such a delicate skill has rendered the creation of circular scribble art a tedious and time-consuming task even for gifted artists. In this work, we present a novel method for automatic synthesis of circular scribble art. The synthesis problem is modeled as tracing along a virtual path using a parametric circular curve. To reproduce the tone and important edge structure of input grayscale images, the system adaptively adjusts the density and structure of virtual path, and dynamically controls the size, drawing speed and orientation of parametric circular curve during the synthesis. We demonstrate the potential of our system using several circular scribble images synthesized from a wide variety of grayscale images. A preliminary experimental studying is conducted to qualitatively and quantitatively evaluate our method. Results report that our method is efficient and generates convincing results comparable to artistic artworks.

    致謝辭 III 摘要 V Abstract VI Chapter 1 Introduction 11 Chapter 2 Related Work 14 Chapter 3 System Overview 17 Chapter 4 Tracing Path Generation 19 4.1 Sampling 20 4.2 Path Construction 21 4.2.1 SLIC Superpixel Segmentation 22 4.2.2 Local Tracing Path Construction 24 4.2.3 Merging 26 4.2.4 Evaluation 27 Chapter 5 Circular Scribble Synthesis 29 5.1 Scribble Model 29 5.1.1 Varying Radius 30 5.1.2 Varying Angular and Center Velocities 31 5.1.3 Varying Disk Orientation 32 5.2 Feature Preservation 33 Chapter 6 Tone Control 35 Chapter 7 Limitations 38 Chapter 8 Quality Assessment and Comparison 39 Chapter 9 Results 42 Chapter 10 Conclusions and Future Works 45 References 46 Appendix A: More Circular Scribble Art Results 48

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