由於個人化的消費意識抬頭，現今產品不僅需滿足功能需求，更應展現使用者的風格與品味。軟性產品著重與穿戴者的整體搭配感，具有高度客製化的特性，其設計過程仍有相當大的限制，缺乏與使用者的溝通媒介，或無法降低客製品的製造成本。有鑑於此，本研究以童鞋產品為標的，提出基於可製性考量之產品客製化技術。基於擴增實境概念，提供產品外觀調整與虛實組裝功能，發揮資通訊技術的優勢，輔助進行虛擬產品設計與評估。針對外觀調整功能，運用產品模組化手法，將童鞋分解為數個部件模組，搭配產生外觀的不同變異。提出創新性之鞋衣模組，針對其可展開性以禁忌搜尋法進行最佳化，提高鞋衣設計的可製性。此外考量零件的裝配性，針對圓柱體產品，採用深度感測器擷取深度與影像資料，透過影像處理與資料點迴歸，實現無標記虛實組裝，準確組合實體產品與虛擬模型，評估組裝的相容性，輔助分散式協同組裝。同時利用高動態範圍影像資訊，提供更為真實的虛擬原型評估，降低設計與實際結果的差異。本研究提出之客製化設計技術，以使用者為核心，開創即時感知技術的創新性應用。設計人員可強化與顧客之間的溝通，準確掌握其使用偏好與需求，藉此實現與顧客共同設計創新的概念。

Due to the emergence of personalized consumption, modern products not only need to fulfill functional requirements, they are also supposed to reflect the user’s personal taste. This becomes a critical factor in the design of soft products. However, customized design of soft products remains a challenging task, mainly because of ineffective communication with end customers and higher manufacturing costs compared to mass production items. To overcome these deficiencies, this work aims at developing new customized design technologies based on the augmented reality concept. Two major functions are proposed for design of children footwear: product appearance adjustment and assembly between virtual and real objects. Our focus is to facilitate high fidelity and interaction in virtual product evaluation with recent advances of ICT. First, children footwear is decomposed into several modules. A large amount of product variants are thus generated by varying the design attributes of those modules. A new module, show cloth, is proposed to quickly change the footwear appearance. Tabu Search is applied to optimize the developability of the cloth surface, ensuring its higher manufacturability. The second function is to accomplish the assembly process between real and virtual objects using the video stream as user interface. The assembly information is extracted from the depth and image data captured by real-time sensing technologies through image processing and data regression. The result enables precise assemble of a virtual model with respect to real objects. High Dynamic Range Image techniques provide a higher visualization quality in the assembled product and enhance the quality in virtual product evaluation. This research provides customized design tools from the product user perspective. We also demonstrate the advantages of real-time sensing technologies in product design and interactions. Those tools facilitate better communication between designers and users. The concept of co-creation with users is thus realized.

[1] G. L. Ragatz, R. B. Handfield and T. V. Scannell (1997) “Success Factors for Integrating Suppliers into New Product Development,” Journal of Product Innovation Management, Vol. 14, No. 3, pp. 190–202.
[2] B. J. Pine and S. Davis (1999), Mass Customization: The New Frontier in Business Competition, Harvard Business Press.
[3] J. Fullera and K. Matzlerb (2007) “Virtual Product Experience and Customer Participation—A Chance for Customer-centered, Really New Products,” Technovation, Vol. 27, pp. 378–387.
[4] M. E. H. Creusen and J. P. L. Schoormans (2005) “The Different Roles of Product Appearance in Consumer Choice,” Journal of Product innovation Management, Vol. 22, No. 1, pp. 63–81.
[5] S. Jayaram, U. Jayaram, Y. Wang, and H. Tirumal (1999) “VADE: A Virtual
Assembly Design Environment,” IEEE Computer Graphics & Applications, Vol. 19, No. 6, pp. 44–50.
[6] A. C. K. Choi, D. S. K. Chan and A. M. F. Yuen (2002) “Application of Virtual Assembly Tools for Improving Product Design,” International Journal of Advanced Manufacturing Technology, Vol. 19, pp. 377–383.
[7] P. Wang, R. Bjaernemo and D. Motte (2005) “A Web-Based Interactive Virtual Environment for Mobile Phone Customization,” Journal of Computing and Information Science in Engineering, Vol. 5, pp. 67–70.
[8] D. S. Jo, U. Y. Yang, and W. H. Son (2008) “Design Evaluation System with Visualization and Interaction of Mobile Devices Based on Virtual Reality Prototypes,” Electronics and Telecommunications Research Institute Journal, Vol. 30, No. 6, pp. 757–764.
[9] H. Xiong and S. Sun (2007) “A Distributed Collaborative Product Customization System Based on Web3D,” Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, Melbourne, Australia, pp. 926–930.
[10] H. Y. K. Lau, K. L. Mak, and M. T. H. Lu (2003) “A Virtual Design Platform for Interactive Product Design and Visualization,” Journal of Materials Processing Technology, Vol. 139, pp. 402–407.
[11] M. Keckeisen, S. L. Stoev, M. Feurer, and W. Strasser (2003) “Interactive Cloth Simulation in Virtual Environments,” Proceedings of the IEEE Virtual Reality.
[12] G. Viganò, S. Mottura, L. Greci, M. Sacco and C. R. Boër (2007) “Virtual Reality as a Support Tool in the Shoe Life Cycle,” International Journal of Computer Integrated Manufacturing, Vol. 17, No. 7, pp. 653–660.
[13] D. Reiners, D. Stricker, G. Klinker and S. Muller (1998) “Augmented Reality for Construction Tasks: Doorlock Assembly,” Proceeding of the First International Workshop on Augmented Reality (IWAR).
[14] S. K. Ong, Y. Pang and A.Y. C. Nee (2007) “Augmented Reality Aided Assembly Design and Planning,” CIRP Annals, Vol. 56, No. 1, pp. 49–52.
[15] S. Balcisoy, M. Kallmann, P. Fua and D. Thalmann (2000) “A framework for rapid evaluation of prototypes with Augmented Reality,” Proceedings of the ACM on Virtual Reality Software and Technology, pp. 61–66.
[16] H. Parka, H. C. Moona, and J. Y. Leeb (2009) “Tangible Augmented Prototyping of Digital Handheld Product,” Computers in Industry, Vol. 60, No. 2, pp. 114–125.
[17] Y. Lu and S. Smith (2007) “Augmented Reality E-Commerce Assistant System: Trying While Shopping,” Proceedings of the 12th International Conference on Human-computer Interaction: Interaction Platforms and Techniques, pp. 643–652.
[18] W. C. Wang, Y. H. Chen and C. Y. Kao (2011) “Integrating Augmented Reality into Female Hairstyle Try-on Experience,” Seventh International Conference on Natural Computation, Vol. 4, pp. 2125–2127.
[19] A. Chen, C. Y. Kao, Y. H. Chen, and W. C. Wang (2011) “Applying Augmented Reality to Consumer Garment Try-On Experience,” Transactions on Computational Science XIII. Lecture Notes in Computer Science Vol. 6750, pp. 169–190.
[20] K. Kjærside, K. J. Kortbek, H. Hedegaard and K. Grønbæk (2005) “ARDressCode: Augmented Dressing Room with Tag-based Motion Tracking and Real-Time Clothes Simulation,” Proceedings of the Central European Multimedia and Virtual Reality.
[21] D. Bradley, G. Roth and P. Bose (2009) “Augmented reality on cloth with realistic illumination,” Machine Vision and Applications, Vol. 20, pp. 85–92.
[22] S. H. Huang, Y. I. Yang and C. H. Chu (2012) “Human-centric Design Personalization of 3D Glasses Frame in Markerless Augmented Reality,” Advanced Engineering Informatics, Vol. 26, No. 1, pp. 35–45.
[23] P. Eisert, J. Rurainsky and P. Fechteler (2007) “Virtual Mirror: Real-Time Tracking of Shoes in Augmented Reality Environments,” Proceedings of the International Conference on Image Processing, pp. 557–560.
[24] K. T. Ulrich and S. D. Eppinger (2004), Product Design and Development, McGraw Hill, 3rd Edition.
[25] 兒童鞋品設計指南 (1992)，財團法人鞋類設計暨技術研究中心。
[26] Y. P. Luh, J. B. Wang, J. W. Chang, S. Y. Chang and C. H. Chu (2012) “Augmented Reality-based Design Customization of Footwear for Children,” in press, Journal of Intelligent Manufacturing.
[27] http://unity3d.com/
[28] 彭國倫 (2008)，3D 繪圖程式設計: 使用Direct3D 10/9 與OpenGL 2.0，台灣，碁峰資訊。
[29] http://www.khronos.org/opengles/2_X/
[30] K. Tang and C. C. L. Wang (2005) “Modeling Developable Folds on a Strip,” Journal of Computing and Information Science in Engineering, Vol. 5, pp. 35–47.
[31] F. Glover (1989) “Tabu Search–Part 1,” ORSA Journal on Computing, Vol. 1, No. 3, pp. 190–206.
[32] F. Glover (1990) “Tabu Search–Part 2,” ORSA Journal on Computing, Vol. 2, No. 1, pp. 4–32.
[33] L. Shapiro and G. Stockman (2001), Computer Vision, Prentice Hall.
[34] R. C. Gonzalez and R. E. Woods (2007), Digital Image Processing, Prentice Hall, 3rd Edition.
[35] A. Y. S. Chia, M. K. H. Leung, H. L. Eng and S. Rahardja (2007) “Ellipse Detection with Hough Transform in One Dimensional Parametric Space,” Proceedings of the International Conference on Image Processing, pp. 333–336.
[36] I. Gath and D. Hoory (1995) “Fuzzy Clustering of Elliptic Ring-shaped Clusters,” Pattern Recognition Letters, Vol. 16, No. 7, pp. 727–741.
[37] Y. Man and I. Gath (1994) “Detection and Separation of Ring-Shaped Clusters Using Fuzzy Clustering,” Pattern Analysis and Machine Intelligence, Vol. 16, No. 8, pp. 855–861.
[38] http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/FISHER/
[39] M. Avriel (2003), Nonlinear Programming: Analysis and Methods, Dover Publications.
[40] D. Eberly (2008), Least Squares Fitting of Data, Geometric Tools, LLC, http://www.geometrictools.com
[41] R. Bullock (2006), Least-Squares Circle Fit,http://www.dtcenter.org/met/users/docs/write_ups/circle_fit.pdf
[42] OpenNI, http://75.98.78.94/
[43] http://www.hdrshop.com/
[44] P. Debevec (2005) “A Median Cut Algorithm for Light Probe Sampling,” SIGGRAPH Poster.
[45] E. Reinhard, M. Stark, P. Shirley and J. Ferwerda (2002) “Photographic Tone Reproduction for Digital Images,” SIGGRAPH, pp. 267–276.