基於筆畫重組之兒童風格圖畫生成

KidPen: Automatic Kid-Style Sketches Synthesis from Photos Based on Stroke Recomposing

楊宛玲(Wan-Ling Yang)

指導教授 ： 歐陽明

國立臺灣大學/電機資訊學院/資訊網路與多媒體研究所/碩士(2017年)

https://doi.org/10.6342/NTU201701415

摘要

兒童的繪畫具有獨特的魅力與童趣，他們扭曲的筆觸和對世界簡化的描述是成年人難以模仿的。本論文提出了將照片轉化成兒童圖畫的方法，藉由重組現有兒童圖畫中的筆畫來重現出兒童圖畫的風格，並可由數個參數控制合成圖畫來模仿不同程度繪畫能力的表現。首先我們取出現有兒童圖畫中的筆畫並建立數個不同年齡層的筆畫資料庫，接著我們對輸入照片中的圖塊做一系列的分割與組合，得到數個線段並取出資料庫中相似的筆畫以重組出一張合成圖畫。藉由直接使用現存兒童圖畫中的筆觸，我們可以不用針對輸入照片來蒐集特定的兒童圖畫，並且對輸入照片的種類也沒有特別的限制。最後，我們進行了一個使用者研究來評量我們的方法。

關鍵字

圖畫生成 ； 非真實感繪製 ； 兒童風格

並列摘要

Drawings of children have unique charm due to the naive and untutored style. For easily producing the kid-style art, we proposed KidPen, a method transforming photos into kid-style sketches recomposing strokes in existed drawings of children and are manipulated by several parameters that control the drawing skills of children. We first extracted strokes from existed drawings of children and constructed
several stroke libraries. Then, a set of target segments of the input photo is generated by decomposing and combining the initial segmentation of the input photo. Finally, the segments are matched to similar strokes in the stroke library to compose the synthesized sketch. By directly using the strokes in existed drawings, KidPen works without
pre-collecting children’s sketches of particular objects and are not restricted to the input of particular categories. A perceptual study is conducted and showed that our method could produce plausible kid-style sketches.

並列關鍵字

Sketch Synthesis ； Non-photorealistic Rendering ； Kid-Style

參考文獻

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