近年來擴增實境技術逐漸成熟，已成功應用於消費商品的設計評估，例如零售通路導入虛擬試穿戴技術，實現整合線下到線上資源(O2O)的商業模式。婚紗屬於高單價、高複雜度之特殊商品，試穿過程仍存在諸多問題，包括穿脫耗時、庫存成本高、款式有限與樣品磨損等，現有的虛擬試穿技術多採用二維影像，造成功能上的限制，無法提供高擬真的試穿過程。本研究以改善虛擬婚紗試穿為目標，基於擴增實境的概念，提出一項技術功能架構，準確結合真實影像與三維婚紗模型。首先建置三維婚紗模型，進行網格骨架對應後匯入資料庫，使婚紗能以骨架動畫的方式，根據深度相機偵測之人體骨架點位置，對應進行運動與變形，並透過校正疊合於色彩影像上，達成基本試穿效果。此外為提高婚紗的合身性，蒐集大量人體網格資料，建立近似使用者身形輪廓之參數化軀幹模型，藉由自由形變演算法，以非線性規劃方式，自動調整婚紗模型的三維幾何，使其貼合使用者軀幹的正面輪廓。亦以參數化軀幹模型進行遮蔽計算，改善過往試穿技術中，虛實之間前後關係的失真。最後透過光照調整、材質參數與影像後處理，提高視覺的擬真度，並提供客製化設計功能，滿足消費者的需求。本研究針對擴增實境中的虛擬試穿，採用三維婚紗為媒介，改善過往功能的衣飾合身性，以及視覺化呈現的品質。成果將延伸擴增實境的應用範疇，不再僅限於娛樂產業，實現以使用者為中心的消費性商務應用。

Augmented reality has recently made a great progress with effective applications in both industry and business. Using product design evaluation as an example, virtual try-on technology has been developed and deployed in retail channels of the fashion industry to realize the offline to online (O2O) business model. Wedding dress is a high-value customized product of complex geometry. There exist unsolved problems in the traditional try-on process, e.g. lengthy duration, sample wear and damage, and limited designs to be evaluated. Virtual apparel try-on technology has been implemented with the idea of augmented reality, in which 2D apparel images are merged into the video of a moving user. However, such an image-based approach suffers from several drawbacks, such as low visualization quality and inaccurate occlusion processing. To overcome these problems, this research proposes a system framework for virtual try-on of bridal dresses in augmented reality. A 3D dress model is precisely positioned with the human body in the video of a moving user. A skeleton animation method defined by 3D rigging is implemented to deform the dress model according to the positions of the human skeleton joints captured by a depth camera in real time. In addition, parametric 3D human models constructed from anthropometric data generates a mesh model that approximates the user’s torso with a given set of feature parameters. The dress model is then automatically adjusted via Free-Form Deformation (FFD) to conform its frontal contour to the mesh model. The visualization defect induced by misalignment between the dress and the human body is thus eliminated. The approximate torso model also allows precise occlusion processing between the dress model and the user’s body. Finally, the prototyping try-on system provides customized design functions for users to change the color, texture, and material of the dress model and to quickly try out the new designs. We have successfully verified the feasibility of real-time virtual try-on of 3D bridal dresses in augmented reality. This research has also extended AR applications from entertainment to human-centric product design.

摘要 ....................................II
Abstract ...........................III
圖目錄 ....................................VI
表目錄 ....................................IX
第一章、 緒論 .............................1
1.1 研究背景 .............................1
1.2 問題定義與描述 .....................2
1.3 研究目的 .............................4
第二章、 文獻回顧 .............................5
2.1 基於虛擬實境之試穿技術 .............5
2.2 基於擴增實境之試穿技術 .............7
2.3 小結 .............................9
第三章、 研究方法與系統建立 ............10
3.1 系統架構 ............................10
3.2 婚紗試穿系統建構 ....................12
3.2.1 三維婚紗建模 ....................12
3.2.2 網格骨架對應 ....................13
3.2.3 深度相機影像擷取 ....................15
3.2.4 婚紗外觀渲染 ....................18
3.2.5 客製化設計 ............................19
第四章、 軀幹參數化模型 ....................21
4.1 參數化目標選擇 ....................21
4.2 人體模型數據收集 ....................22
4.3 特徵點與特徵尺寸之定義 ............24
4.4 參數化模型系統建立 ....................27
4.5 參數化模型誤差分析 ....................29
第五章、 合身性自由形變與遮蔽處理 ............35
5.1 自由形變演算法 ....................35
5.2 軀幹與婚紗模型之二維投射點與分區 ....37
5.3 初始之自由形變調整 ....................40
5.4 非線性解之自由形變調整 ............43
5.5 合身性改善結果分析 ....................48
5.6 遮蔽效果處理 ............................49
第六章、 系統實作 ............................51
6.1 資訊環境架構 ............................51
6.2 虛擬婚紗試穿系統 ....................52
6.2.1 試穿結果展示 ....................52
6.2.2 客製化個人設計 ....................56
6.2.3 虛擬試穿之系統限制 ....................59
第七章、 結論與未來展望 ....................62
參考文獻 ....................................65
附錄 ....................................67

1. Fxmirror.net. (2019). FXMirror: The World's Best Virtual Fitting Mirror Solution. Retrieved July 15. 2019, from http://www.fxmirror.net.
2. Liu, Y., Chen, Y.A., & Chu, C.H. (2018) Avatar-Based Virtual Try-On of Footwear for New Retail Era, 20th International Conference on Electronic Commerce, Tianjin, China.
3. Cordier, F., Seo, H., & Magnenat-Thalmann, N. (2003). Made-to-Measure Technologies for an Online Clothing Store. IEEE Computer graphics and applications, 23(1), 38-48.
4. Meng, Y., Mok, P. Y., & Jin, X. (2010). Interactive Virtual Try-on Clothing Design Systems. Computer-Aided Design, 42(4), 310-321.
5. Lee, Y., Ma, J., & Choi, S. (2013). Automatic Pose-independent 3D Garment Fitting. Computers & Graphics, 37(7), 911-922.
6. Gültepe, U., & Güdükbay, U. (2014). Real-time Virtual Fitting with Body Measurement and Motion Smoothing. Computers & Graphics, 43, 31-43.
7. Jun, X. (2016). Human 3D Garment Modeling Method Based on Surface Modeling Technology. In Measuring Technology and Mechatronics Automation (ICMTMA), 2016 Eighth International Conference, 323-326.
8. Lee, W., & Ko, H. S. (2017). Heuristic Misfit Reduction: A programmable Approach for 3D Garment Fit Customization. Computers & Graphics.
9. Ziquan, L., & Zhao, S. (2012). Augmented reality: Virtual Fitting Room Using Kinect. Department of Computer Science, School of Computing, National University of Singapore, 1.
10. Sekine, M., Sugita, K., Perbet, F., Stenger, B., & Nishiyama, M. (2014, October). Virtual Fitting by Single-shot Body Shape Estimation. In Proc. of 5th Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 406-413.
11. Rogge, L., Klose, F., Stengel, M., Eisemann, M., & Magnor, M. (2014). Garment Replacement in Monocular Video Sequences. ACM Transactions on Graphics (TOG), 34(1), 6.
12. Traumann, A., Anbarjafari, G., & Escalera, S. (2015). A New Retexturing Method for Virtual Fitting Room Using Kinect 2 Camera. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 75-79.
13. Sekhavat, Y. A. (2017). Privacy Preserving Cloth Try-on Using Mobile Augmented Reality. IEEE Transactions on Multimedia, 19(5), 1041-1049.
14. Yuan, M., Khan, I. R., Farbiz, F., Yao, S., Niswar, A., & Foo, M. H. (2013). A Mixed Reality Virtual Clothes Try-on System. IEEE Transactions on Multimedia, 15(8), pp. 1958-1968.
15. Mukundan, R. (2012). Advanced Methods in Computer Graphics. doi : 10.1007/978-1-4471-2340-8
16. Baran, I., & Popović, J. (2007). Automatic Rigging and Animation of 3D Characters. ACM Transactions on Graphics (TOG), 26(3), 72.
17. Lopez, R., & Poirel, C. (2013, July). Raycast Based Auto-rigging Method for Humanoid Meshes. In ACM SIGGRAPH 2013 Posters, 11.
18. Chu, C. H., Wang, I. J., Wang, J. B., & Luh, Y. P. (2017). 3D Parametric Human Face Modeling for Personalized Product Design: Eyeglasses Frame Design Case. Advanced Engineering Informatics, 32, 202-223.
19. 吳翰昇，改善擴增實境中虛擬穿戴之遮蔽品質。清華大學工業工程與工程管理學系所碩士論文，2018。
20. 數位時代. (2019). 不是你去配衣服，是讓衣服來配你！ TG3D Studio 開啟數位化人體的新境界。數位時代. Retrieved July 15. 2019, from https://www.bnext.com.tw/article/46008/tg3d-studio-opens-the-new-realm-of-digitalization.
21. Shewchuk, J.R. (2002) Delaunay Refinement Algorithms for Triangular Mesh Generation, Computational Geometry, 22, (1), 21-74.
22. Baek, S. Y., & Lee, K. (2012). Parametric Human Body Shape Modeling Framework for Human-centered Product Design. Computer-Aided Design, 44(1), 56-67.
23. Drefuss, H., & Dreyfuss, H. (1967). The Measure of Man: Human Factors in Design. New York: Whitney Library of Design.
24. Oliver, M.A. & Webster, R. (1990) Kriging: A Method of Interpolation for Geographical Information Systems, International Journal of Geographic Information Systems, 4(3), 313-332.
25. Wang, C. C., & Tang, K. (2004). Achieving Developability of A Polygonal Surface by Minimum Deformation: A Study of Global and Local Optimization Approaches. The Visual Computer, 20(8-9), 521-539.
26. Decaudin, P., Julius, D., Wither, J., Boissieux, L., Sheffer, A., & Cani, M. P. (2006, September). Virtual Garments: A Fully Geometric Approach for Clothing Design. In Computer Graphics Forum, 25(3), 625-634.
27. Sederberg, T. W., & Parry, S. R. (1986). Free-form Deformation of Solid Geometric Models. ACM SIGGRAPH Computer Graphics, 20(4), 151-160.
28. Karen J. Tietze (2012) Clinical Skills for Pharmacists [Third Edition] Retrieved July 15. 2019, from http://www.sciencedirect.com/science/article/pii/B9780323077385100043
29. Barzilai, J., & Borwein, J. M. (1988). Two-point Step Size Gradient Methods. IMA Journal of Numerical Analysis, 8(1), 141-148.
30. Wolfgang K. Giloi, J. L. Encarnação, W. Straßer. (1974). The Giloi’s School of Computer Graphics, Computer Graphics 35 4:12–16.