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研究生:郭曜禎
研究生(外文):Kuo, Yao-Chen
論文名稱:基於形狀描述子及部分比對之食物造型擺盤系統
論文名稱(外文):Happy to Eat! Plate Presentation with Foods by Using Shape Descriptor and Partial Matching
指導教授:王昱舜王昱舜引用關係
指導教授(外文):Wang, Yu-Shuen
口試日期:2017-10-24
學位類別:碩士
校院名稱:國立交通大學
系所名稱:多媒體工程研究所
學門:電算機學門
學類:軟體發展學類
論文種類:學術論文
論文出版年:2017
畢業學年度:106
語文別:中文
論文頁數:40
中文關鍵詞:食物擺盤拼貼藝術
外文關鍵詞:Food plate presentationCollage
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根據研究指出,食物擺盤中多樣的形狀以及繽紛的顏色,對於兒童的影響相較於成人來的更加顯著。食物擺盤通常是由多種食材彼此間的堆疊所構成,利用多種食材的堆疊來描述其目標圖案的輪廓及顏色,其中變化之廣使其成為研究議題。然而,食材選擇的困難以及實際擺盤中無法避免的反覆嘗試皆讓造型擺盤令人望之卻步。因此我們開發了一個系統來簡化設計食物擺盤的步驟,使用者只要選擇目標圖片以及食材,便可藉由形狀描述子以及部分比對來得到多種擺盤結果,若需要改變樣式只要更換目標圖片或所選食材即可產生不同的結果,因而降低擺盤系統的難度。
Researches have shown that good plate presentation can not only attract attention but also greatly influences the perception of taste, smell, and flavor, especially to children. Plate presentation is the combination of different kinds of foods, the target images are described by the arrangement of foods to fulfill its similarity of contour and color. The wide variety of possible combination has led to lots of research. However, the choice of food could be a tough question for users. Besides, most of the food designs involve lots of task and arranging steps which can also be a trouble for users who want to give it a try. To solve the problem, we develop a new system to simplify the process of plate design. User only needs to choose the target image and several foods, our system will compute a plate presentation according to the target image with food which were chosen automatically. User only needs to change target image and modify chosen food, it will generate different plate design according to your choice.
摘要 i
Abstract ii
圖目錄 iii
目錄 v
本文 1
1. 序論 1
2. 文獻探討 3
2.1 食物擺盤: 3
2.2 拼貼藝術: 4
2.3 形狀比對: 4
3. 系統流程 5
4. 研究方法 7
4.1 圖形輪廓: 7
4.2 輪廓取樣: 8
4.3 圖片比例: 9
4.4 形狀描述子: 10
4.5 部分比對: 12
4.6 ICP(Iterative closest point): 14
4.7 contour-food pair: 16
4.8 Graph cut: 17
4.9 Greedy以及拓樸排序 18
5. 優化 21
5.1 事前處理: 21
5.2 輪廓分組: 21
5.3 積分圖加速法: 23
5.4 多執行序: 24
6. 結果與討論 25
6.1 結果 25
6.2 系統操作 29
6.2.1 選取圖片以及食物: 29
6.2.2 進行比對: 31
6.2.3 比對所有食譜: 31
6.2.4 比對所有圖片: 31
6.2.5 營養調整: 32
6.3 使用者研究: 33
6.3.1 招募受測者條件: 33
6.3.2 實驗流程: 33
6.3.3 操作系統前訪談內容: 34
6.3.4 操作流程: 34
6.3.5 操作系統後訪談內容: 35
7. 結論 38
7.1 貢獻 38
7.2 限制 38
7.3 未來工作 39
參考文獻 39
[1] Food presentation could affect kids' food choices, suggests study http://www.foodnavigator-usa.com/R-D/Food-presentation-could-affect-kids-food-choices-suggests-study
[2] Arola, Antoni. "Eating with Our Eyes." Temes de disseny 31 (2015): 54-59.
[3] Linné, Yvonne, et al. "Vision and eating behavior." Obesity , vol. 10, no. 2 (2002): 92-95.
[4] Zellner, D. A., Loss, C. R., Zearfoss, J., & Remolina, S. (2014). It tastes as good as it looks! the effect of food presentation on liking for the flavor of food. Appetite, 77, 31-35.
[5] Zellner, D.A., Lankford, M., Ambrose, L. and Locher,P. 2010. Art on the plate: Effect of balance and color onattractiveness of, willingness to try and liking for food. FoodQual. Prefer. 21, 575–578.
[6] ZHANG L., HUANG H.: Hierarchical narrative collage for digital photo album. Computer Graphics Forum 31, 7 (2012), 2173–2181.
[7] Chen, T., Lu, A.D., Hu, S.M.: Visual storylines: semantic visualization of movie sequence. Comput. Graph. 36(4), 241–249 (2012)
[8] Allison W. Klein , Tyler Grant , Adam Finkelstein , Michael F. Cohen, Video mosaics, Proceedings of the 2nd international symposium on Non-photorealistic animation and rendering, June 03-05, 2002, Annecy, France
[9] Alejo Hausner, Simulating decorative mosaics, Proceedings of the 28th annual conference on Computer graphics and interactive techniques, p.573-580, August 2001
[10] Huang, H., Zhang, L. and Zhang, H. Arcimboldo-like collage using internet images. ACM Transactions on Graphics, vol. 30, no. 6, p. 155. 2011.
[11] Kim, J., and Pellacini, F. 2002. Jigsaw image mosaics. ACM Trans. Graph. 21, 3, 657–664.
[12] Hu. Visual Pattern Recognition by Moment Invariants, IRE Transactions on Information Theory, 8:2, pp. 179-187, 1962.
[13] Belongie, S., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. IEEE Transactions of Pattern Analysis and Machine Intelligence (PAMI) 24(4) (2002) 509–522
[14] Ling, H., Jacobs, D.W.: Using the inner-distance for classification of articulated shapes. In: Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR). Volume 2. (2005) 719–726
[15] Scott, C., Nowak, R.: Robust contour matching via the order-preserving assignment problem. IEEE Transactions on Image Processing 15(7) (2006) 1831–1838
[16] Chen, L., Feris, R., Turk, M.: Efficient partial shape matching using smithwaterman algorithm. In: NORDIA. (2008)
[17] Donoser, M., Riemenschneider, H., Bischof, H.: Efficient partial shape matching of outer contours. In: ACCV. 2009.
[18] Riemenschneider, Hayko, Michael Donoser, and Horst Bischof. "Using partial edge contour matches for efficient object category localization." European Conference on Computer Vision. Springer, Berlin, Heidelberg, 2010.
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