簡易檢索 / 詳目顯示

研究生: 楊攸奕
Yang, Yu-I
論文名稱: 基於擴增實境之產品客製化設計:虛擬試穿與網格變型
Product Customization Design in Augmented Reality: Virtual Try-on and Mesh Deformation
指導教授: 瞿志行
Chu, Chih-Hsing
口試委員: 黃思皓
Huang, Szu-Hao
羅承浤
Lo, Cheng-Hung
學位類別: 碩士
Master
系所名稱: 工學院 - 工業工程與工程管理學系
Department of Industrial Engineering and Engineering Management
論文出版年: 2012
畢業學年度: 100
語文別: 中文
論文頁數: 70
中文關鍵詞: 擴增實境虛擬試穿網格變型客製化設計
外文關鍵詞: augmented reality, virtual try-on, mesh deformation, customized design
相關次數: 點閱:1下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本研究整合電腦視覺、電腦繪圖、網格變形與人機互動等技術,以鞋類產品為標的,發展創新性個人化設計系統。結合電腦輔助設計與擴充實境的個別優勢,提供「虛擬試穿」與「即時性外觀變形」兩項功能。透過人體感知裝置,擷取真實場景的影像與深度資訊,發展多階段高效能的演算機制,即時追蹤使用者的足部運動。根據獲得的空間資訊,將鞋品三維模型準確融入足部影像中,呈現虛擬試穿的過程。此外針對自由造型的三維網格,建立其非均質網格變形機制,允許即時性的外觀調整。透過雛型系統的開發,驗證所提出方法的可行性,並顯示以人為本設計評估的價值。經由高擬真的鞋類試穿、修改過程,促進消費者與設計人員的共同創新,實現前瞻性的大量個人化服務。


    摘要…………………………………………………………………………………….i 致謝辭………………………………………………………………………………....ii 圖目錄………………………………………………………………………………...iv 表目錄………………………………………………………………………………...vi 第一章 前言…………………………………………………………………………1 第二章 文獻探討……………………………………………………………………4 2.1 基於擴增實境之試穿技術………………………………………………….4 2.2 擴增實境中的動態物件追蹤……………………………………………….6 2.3 參數化設計於產品設計的應用…………………………………………...10 第三章 系統架構…………………………………………………………………..13 3.1 虛擬試穿..………………………………………………………………….14 3.2 網格變型模組……………………………………………………………...16 第四章 追蹤模組…………………………………………………………………..17 4.1 標記追蹤…………………………………………………………………...17 4.2 無標記追蹤………………………………………………………………...19 4.3 追蹤修正…………………………………………………………………...22 4.4 足部影像切割……………………………………………………………...23 4.5 測試結果…………………………………………………………………...25 4.6 結果討論…………………………………………………………………...31 第五章 非均質網格變型演算法…………………………………………………..34 5.1 線性變形…………………………………………………………………...34 5.2 特徵剛體轉換……………………………………………………………...34 5.3 演算法求解………………………………………………………………...37 5.3.1 線性迴歸……………………………………………………………39 5.3.2 特徵剛體轉換………………………………………………………40 5.4 機器學習過程……………………………………………………………...44 5.5 測試結果…………………………………………………………………...46 5.6 結果討論…………………………………………………………………...55 第六章 系統雛形實作……………………………………………………………..58 6.1 環境設置…………………………………………………………………...58 6.2 個人化產品資料庫設置…………………………………………………...59 6.3 虛擬試穿…………………………………………………………………...61 第七章 結論與未來展望…………………………………………………………..65 參考文獻……………………………………………………………………………..67

    [1] K. Kjærside, K.J. Kortbek, H. Hedegaard, and K. Grønbæk, ARDressCode: Augmented dressing room with tag-based motion tracking and real-time clothes simulation, CEMVRC (2005)
    [2] D. Bradley, G. Roth, and P. Bose, Augmented reality on cloth with realistic illumination, Machine Vision and Applications (2009)
    [3] P. Eisert, and A. Hilsmann, Realistic virtual try-on of clothes using real-time augmented reality methods, IEEE COMSOC MMC (2011)
    [4] S.H. Huang, Y.I. Yang, and C.H. Chu*, Human-centric design personalization of 3D glasses frame in markerless augmented reality, Advanced Engineering Informatics , 16(2012), 35-45
    [5] D.U. Jung, Y.I Yun, and J.S. Choi, 3D pose estimation for foot motion tracking from image sequences, Consumer Electronics (ICCE), 2011 IEEE International Conference on ,(2011) 795-796
    [6] P. Eisert, J. Rurainsky, and P. Fechteler, Virtual mirror: real-time tracking of shoe in augmented reality environments, ICIP( 2007) II-557-II-560
    [7] S. Mottura, L. Greci, E. Travaini, G. Vigano, and M. sacco, MagicMirror & FootGlove : a new system for the customized shoe try-on, in proc. 17th CIRP Design Conference (2007)
    [8] ARToolKitTM , from http://www.hitl.washington.edu/artoolkit/
    [9] H. Kato, and M. Billinghurst, Marker tracking and HMD calibration for a video–basedaugmented reality conferencing system, The 2nd Int. Workshop on Augmented Reality,(1999) 85–94.
    [10] B. MacIntyre, M. Gandy, S. Dow, and J.D. Bolter, DART: a toolkit for rapid designexploration of augmented reality experiences, Proc. of the 17th annual ACM symposium onUser interface software and technology, (2004) 197-206.
    [11] T. Ha and W. Woo, Graphical tangible user interface for a AR authoring tool in productdesign environment, Proc. of International Symposium on Ubiquitous Virtual Reality, (2007).[28] C. Harris and M. Stephens, A combined corner and edge detector, The 4th Alvey Vision Conference, (1988) 189–192.
    [12] C. Harris and M. Stephens, A combined corner and edge detector, The 4th Alvey VisionConference, (1988) 189–192.
    [13] K. Mikolajczyk and C. Schmid, An affine invariant interest point detector, The 7th EuropeanConference on Computer Vision, (2002) 128–142.
    [14] D.G. Lowe, Distinctive image features from scale–invariant key points, International Journalof Computer Vision, 60 (2004) 91–110.
    [15] I. Skrypnyk and D.G. Lowe, Scene Modelling, recognition and tracking with invariant image features, Mixed and Augmented Reality, (2004), 110-119.
    [16] G. Bleser, Y. Pastarmov, and D. Stricker, Real–time 3D camera tracking for industrialaugmented reality applications, The 13th International Conference in Central Europe onComputer Graphics, Visualization and Computer Vision, (2005).
    [17] A. Comport, E. Marchand, M. Pressigout, and F. Chaumette, Real–time markerless trackingfor augmented reality: the virtual visual servoing framework, IEEE Trans. on Visualizationand Computer Graphics, 12 (2006) 615–628.
    [18] J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake, Real-time human pose recognition in parts from single depth images, Computer Vision and Pattern Recognition , (2011), 1297-1304
    [19] S.B. Göktürk, C. Tomasi, 3D head tracking based on recognition and interpolation using a time-of-flight depth sensor, Computer Vision and Pattern Recognition, (2004) II-211 - II-217 Vol.2
    [20] Q. Cai, D. Gallup, C. Zhang, and Z. Zhang, 3D deformable face tracking with a commodity depth camera, ECCV (2010)
    [21] T.W. Sederberg and S.R. Parry, Free-form deformation of solid geometric models, ACM Computer Graphics, 20(4) (1986) 151-160.
    [22] X.J. Qin, Q. Wang, and H.J. Bao, Local editing algorithm for mesh models, Computers andGraphics, 16(4) (2004) 231-239.
    [23] G. Vosniakos, Investigation of feature-based shape modeling for mechanical parts withfreeform surfaces”, International Journal of Advanced Manufacturing Technology, 15(3)(1999) 553–556.
    [24] H. Park and K.H. Lee, A new parametric control method for freeform mesh models,International Journal of Advanced Manufacturing Technology, 27 (2005) 313-320.
    [25] C.H. Chu, P.H. Wu, and G.X. Yuan, Online parametric configuration of 3D product based ontriangulation model, Proc. IMechE: Journal of Engineering Manufacture, 223(3) (2009)231-246.
    [26] C.H. Chu, Y.T. Tsai, C.C.L. Wang, and T.H. Kwok, Exemplar-based statistical model forsemantic parametric design of human body, accepted, Computers in Industry, (2009).
    [27] C.F. Xu, Y. Liu, Y.L. Jiang, and Y.H. Pan, Design and realization of customized shoe last CAD system, Computers and Graphics, 16(10) (2004) 456-464.
    [28] C.C.L. Wang, Parameterization and parametric design of mannequins in press, Computer-Aided Des, 37(1) (2005) 83–98.
    [29] P. Besl and N. McKay, A method for registration of 3-D shapes, IEEE Trans. Pattern Analysis and Machine Intelligence, 14 (1992) 239-256.
    [30] I.T. Jolliffe, Principal component analysis, Springer Series in Statistics, 2nd ed. (2002)
    [31] D.W. Eggert, A. Lorusso and R.B. Fisher, Estimating 3-D rigid body transformations: a comparison of four major algorithms, Machine Vision and Application, 9 (1994) 272-290
    [32] R. Adams and L. Bischof, Seeded region growing, Pattern Analysis and Machine Intelligence, 16 (1994) 641-647
    [33] http://www.ltech.com.tw/ltech/home.php
    [34] K. Levenberg, A method for the solution of certain non-linear problems in least squares. Quarterly of Applied Mathematics, 2 (1944) 164-168.

    無法下載圖示 全文公開日期 本全文未授權公開 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)

    QR CODE