| 研究生: |
吳逢瑋 Wu, Feng-Wei |
|---|---|
| 論文名稱: |
由單一動漫風格圖像建立頭髮模型 Hair Modeling from A Single Anime-Style Image |
| 指導教授: |
李同益
Lee, Tong-Yee |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 資訊工程學系 Department of Computer Science and Information Engineering |
| 論文出版年: | 2018 |
| 畢業學年度: | 106 |
| 語文別: | 英文 |
| 論文頁數: | 41 |
| 中文關鍵詞: | 動漫頭髮建模 、單一視角建模 |
| 外文關鍵詞: | anime hair modeling, single-view modeling |
| 相關次數: | 點閱:73 下載:0 |
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我們提出了一種從單一動漫風格的圖像中建立頭髮模型的新方法。從 Yeh et al. [2015] 獲得的信息和一個手動調整的橢圓形頭部, 我們的系統依循三步驟執行管道,重建 hair clump, 通過創建 hair-hair graph 來確定它們厚度並估計它們與橢圓形頭部相對的位置, 並基於 hair-hair graph 將它們附著到橢圓形頭部。重建結果與公仔具有相同的 clumpy effect, 並且它們比最先進方法 [Yeh et al., 2015] 擁有更多的觀看視角。
We propose a novel approach to model hair from an anime-style image. With information obtained from Yeh et al. [2015] and a manually adjusted oval head, our system follows a three-steps pipeline which reconstructs hair clumps, determines the thickness and estimates positions of them relating to the oval head by creating a hair-hair graph, and attaches them to the oval head based on the hair-hair graph. Reconstructed results have the same clumpy effect as action figures, and they have more view angles than the state-of-the-art method [Yeh et al., 2015].
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校內:2023-08-25公開