博碩士論文 102323085 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:5 、訪客IP:18.208.186.19
姓名 吳宗謙(Tsung-Chien Wu)  查詢紙本館藏   畢業系所 機械工程學系
論文名稱 以二維影像重建三維彩色模型之色彩紋理貼圖技術與三維模型重建系統發展
(Development of Texture Mapping Technique and 3D Photo-Modeling System for the Reconstruction of 3D Color Model via Two-Dimensional Photos)
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 ( 永不開放)
摘要(中) 三維彩色模型是由三維網格模型以及物體的紋理資訊結合所組成,此種模型已經被廣泛應用於計算幾何的領域中,然而在實際的應用上如何將物體的色彩資訊轉換到三維網格模型上需要更進一步的探討。色彩紋理貼圖常被應用於建立物體的三維彩色模型,透過三維網格模型與相對應物體色彩紋理貼圖的合併來建立三維彩色模型,然而在彩色模型中,色彩紋理貼圖的解析度與品質非常的重要也需要謹慎的處理。本研究的目的為產生高品質的色彩紋理貼圖來建立真實的三維彩色模型以及發展整合性物體三維模型重建系統;前者需要一系列的技術來產生,包含網格分群、保角網格參數化、網格包裝、物體影像紋理轉換以及色彩紋理最佳化,另外網格品質與色彩紋理品質會被特別強調以產生高品質的色彩紋理貼圖,其中網格包裝與色彩紋理最佳化的目標為提升色彩紋理貼圖的品質。後者為合併影像拍攝與三維模型重建兩個模組以建立系統,其中建立了簡易的系統操作流程。本研究提出許多實際的例子來證明所提方法的可行性。
摘要(英) A three-dimensional (3D) color model is a 3D mesh model with the texture information of an object. It has been widely used in computational geometry. However, the transferring of the color information from the object photos to 3D mesh model needs to be studied for practical implementation. The texture mapping technique is commonly used to create the 3D color model of an object via combining a 3D mesh model with the object’s texture map. However, the resolution and quality of the texture on the color model is important and requires a careful consideration. The aims of this study are to generate the high quality texture map to obtain the photorealistic 3D color model and to develop an integrated system for the reconstruction the 3D color model of the object. The former is based on a series of techniques, including mesh partitioning, conformal mesh parameterization, mesh packing, texture transferring from the object photos and texture optimization. In addition, both mesh quality and texture quality are investigated during the generation to reach the high quality texture map. The mesh packing and texture optimization processes are aimed at promoting the quality of the texture map. The latter is accomplished based on two systems which are photo capturing and 3D photo-modeling. The simple operation procedure is accomplished. Several realistic examples are also presented to demonstrate the feasibility of the proposed methods.
關鍵字(中) ★ 色彩紋理貼圖
★ 三維彩色模型
★ 網格分群
★ 保角網格參數化
★ 網格包裝
★ 色彩紋理最佳化
關鍵字(英) ★ Texture Mapping
★ 3D color model
★ Mesh partitioning
★ Conformal mesh parameterization
★ Mesh packing
★ Texture optimization
論文目次 摘要 I
ABSTRACT II
致謝 III
CONTENT IV
FIGURE LIST VI
TABLE LIST X
CHAPTER 1 INTRODUCTION 1
1.1 Introduction 1
1.2 Literature review 3
1.2.1 Mesh partitioning 3
1.2.2 Mesh parameterization 4
1.2.3 Texture mapping 6
1.3 Research objectives and methodology 16
1.4 Organization of the dissertation 20
CHAPTER 2 MESH PARTITIONING AND PARAMETERIZATION 21
2.1 Introduction 21
2.2 Mesh partitioning 22
2.3 Mesh parameterization 29
2.3.1 Mesh unwrapping 29
2.3.2 Mesh packing 35
2.4 Results and discussion 38
2.5 Summary 47
CHAPTER 3 TEXTURE MAPPING AND OPTIMIZATION 48
3.1 Introduction 48
3.2 Texture mapping 50
3.2.1 Mesh grouping for photos 50
3.2.2 Texture extraction and transferring for meshes 53
3.3 Texture optimization 58
3.4 Results and discussion 63
3.5 Summary 83
CHAPTER 4 3D PHOTO-MODELING SYSTEM 84
4.1 Introduction 84
4.2 Improvement of modeling process 85
4.2.1 Camera calibration 85
4.2.2 Camera alignment 89
4.3 Operation of modeling system 95
4.4 Summary 99
CHAPTER 5 CONCLUSION AND FUTURE STUDY 100
5.1 Conclusion 100
5.1.1 Mesh partitioning and parameterization 100
5.1.2 Texture mapping and optimization 101
5.1.3 3D photo-modeling system 101
5.2 Future work 102
REFERENCE 104
參考文獻 [1] Ortery Technologies, Inc. http://www.ortery.com/
[2] Liao, H.Y.; Liao, C.Y. The Research for Automatic Camera Calibration and Silhouette Extraction from 2D Images. Master Thesis of National Central University, Taiwan, 2015.
[3] Liao, C.Y.; Xiong, Y.S.; Wang, D.W.; Lai, J.Y.; Lee, J.Y. A camera calibration process for 3D digital model reconstruction of huge objects. 2016 International Conference on Machining, Materials and Mechanical Technologies (IC3MT 2016), Matsue, Japan, 2016.
[4] Liao, C.Y.; Ren, Y.L.; Wang, D.W.; Lai, J.Y., Lee, J.Y. Model for 3D printing created from multiview 2D silhouette images. Proceedings of International Conference on Leading Edge Manufacturing in 21st Century: LEM21, 2017.
[5] Phothong, W.; Wu, T.C.; Lai, J.Y.; Wang, D.W.; Liao, C.Y.; Lee, J.Y. Fast and accurate triangular model generation for the shape-from-silhouette technique. Computer-Aided Design and Applications, 2017, 14(4), 436-449.
[6] Phothong, W.; Wu, T.C.; Lai, J.Y.; Yu, C.Y.; Wang, D.W.; Liao, C.Y. Quality improvement of 3D models reconstructed from silhouettes of multiple images. Computer-Aided Design and Applications, 2018, 15(3), 288-299.
[7] Phothong, W.; Wu, T.C.; Yu, C.Y.; Lai, J.Y.; Wang, D.W.; Liao, C.Y. Generation and quality improvement of 3D models from silhouettes of 2D images. Journal of the Chinese Institute of Engineers, 2018, 41(3), 216-228.
[8] Wu, T.C.; Lai, J.Y.; Phothong, W.; Wang, D.W.; Liao, C.Y.; Lee, J.Y. Editable texture map generation and optimization technique for 3D visualization presentation. Computer-Aided Design and Applications, 2018, 15(3), 378-389.
[9] Lai, J.Y.; Wu, T.C.; Phothong, W.; Wang, D.W. Liao, C.Y.; Lee, J.Y. A high-resolution texture mapping technique for 3D textured model, Applied Sciences, 2018, 8(11), 2228.
[10] Shamir, A. A survey on mesh segmentation techniques. In Proceedings of the Computer graphics forum, Oxford, UK, 2008, 27, 1539-1556.
[11] Sander, P.; Snyder, J.; Gortler, S.; Hoppe, H. Texture mapping progressive meshes. In Proceedings of ACM SIGGRAPH, 2001, 409-416.
[12] Lévy, B.; Petitjean, S.; Ray, N.; Maillot, J. Least squares conformal maps for automatic texture atlas generation. ACM Transactions on Graphics (TOG), 2002, 21(3), 362-371.
[13] Sander, P.; Wood, Z.; Gortler, S.; Snyder, J.; Hoppe, H. Multi-chart geometry images. In Proceedings of the Eurographics Symposium on Geometry Processing, 2003, 146-155.
[14] Mangan, A.P.; Whitaker, R.T. Surface segmentation using morphological watersheds. In Proceedings of IEEE Visualization, 1998.
[15] Mangan, A.P.; Whitaker, R.T. Partitioning 3D surface meshes using watershed segmentation. IEEE Transactions on Visualization and Computer Graphics 1999, 5, 308-321.
[16] Lavoué, G.; Dupont, F.; Baskurt, A. A new cad mesh segmentation method, based on curvature tensor analysis. Computer Aided Design, 2005, 37, 975-987.
[17] Sheffer, A. Model simplification for meshing using face clustering. Computer Aided Design, 2001, 33, 925-934.
[18] Garland, M.; Willmott, A.; Heckbert, P. Hierarchical face clustering on polygonal surfaces. In Proceedings of the ACM Symposium on Interactive 3D Graphics, 2001, 49-58.
[19] Mortara, M.; Patané, G.; Spagnuolo, M.; Falcidieno, B.; Rossignac, J. Blowing bubbles for multi-scale analysis and decomposition of triangle meshes. Algorithmica, 2004, 38, 227-248.
[20] Mortara, M.; Patané, G.; Spagnuolo, M.; Falcidieno, B.; Rossignac, J. Plumber: A method for a multi-scale decomposition of 3d shapes into tubular primitives and bodies. In Proceedings of ACM Symposium on Solid Modeling and Applications, 2004, 139-158.
[21] Funkhouser, T.; Kazhdan, M.; Shilane, P.; Min, P.; Kiefer, W.; Tal, A.; Rusinkiewicz, S.; Dobkin, D. Modeling by example. ACM Transactions on Graphics, 2004, 23, 652-663.
[22] Sheffer, A.; Praun, E.; Rose, K. Mesh parameterization methods and their applications. Foundations and Trends® in Computer Graphics and Vision, 2006, 2(2), 105-171.
[23] Hormann, K.; Lévy, B.; Sheffer, A. Mesh parameterization: theory and practice. ACM SIGGRAPH 2007 courses on - SIGGRAPH 07, 2007, 1.
[24] Eck, M.; DeRose, T.; Duchamp, T.; Hoppe, H.; Lounsbery, M.; Stuetzle, W. Multiresolution analysis of arbitrary meshes. Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, 1995, 173-182.
[25] Floater, M.S. Parametrization and smooth approximation of surface triangulations. Computer aided geometric design, 1997, 14(3), 231-250.
[26] Floater, M.S. Mean value coordinates. Computer aided geometric design, 2003, 20(1), 19-27.
[27] Desbrun, M.; Meyer, M.; Alliez, P. Intrinsic parameterizations of surface meshes. Computer Graphics Forum, 2002, 21(3), 209-218.
[28] Sheffer, A.; Sturler, E, de. Parameterization of faceted surfaces for meshing using angle-based flattening. Engineering with Computers, 2001, 17(3), 326-337.
[29] Sheffer, A.; Lévy, B.; Mogilnitsky, M.; Bogomyakov, A. ABF++: Fast and robust angle based flattening. ACM Transactions on Graphics, 2005, 24(2), 311-330.
[30] Zayer, R.; Lévy, B.; Seidel, H.P. Linear angle based parameterization. Fifth Eurographics Symposium on Geometry Processing-SGP, 2007, 135-141.
[31] Zigelman, G.; Kimmel, R.; Kiryati, N. Texture mapping using surface flattening via multidimensional scaling. Visualization and Computer Graphics, 2002, 8(2), 198-207.
[32] Degener, P.; Jan M.; Reinhard, K. An adaptable surface parameterization method. IMR, 2003, 3, 201-213.
[33] Niem, W.; Buschmann, R. Automatic modelling of 3D natural objects from multiple views. In Proceedings of the Image Processing for Broadcast and Video Production, Springer, London, 1995, 181-193.
[34] Genç, S.; Atalay, V. Texture extraction from photographs and rendering with dynamic texture mapping. In Proceedings of the Image Analysis and Processing, 1999, 1055-1058.
[35] Baumberg, A. Blending images for texturing 3D models. In Proceedings of the BMVC, 2002, 3, 404-413.
[36] Efros, A.A.; Freeman, W.T. Image quilting for texture synthesis and transfer. In Proceedings of the 28th annual conference on Computer graphics and interactive techniques ACM, 2001, 341-346.
[37] Wei, L.Y.; Levoy, M. Fast texture synthesis using tree-structured vector quantization. In Proceedings of the 27th annual conference on Computer graphics and interactive techniques ACM, 2000, 479-488.
[38] Zhou, K.; Wang, X.; Tong, Y.; Desbrun, M.; Guo, B.; Shum, H.Y. TextureMontage: Seamless texturing of arbitrary surfaces from multiple images. ACM Transactions on Graphics (ToG), 2005, 24(3), 1148-1155.
[39] Lempitsky, V.; Ivanov, D. Seamless mosaicing of image-based texture maps. In 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007, 1-6.
[40] Gal, R.; Wexler, Y.; Ofek, E.; Hoppe, H.; Cohen‐Or, D. Seamless montage for texturing models. In Computer Graphics Forum, Oxford, UK, 2007, 29(2), 479-486.
[41] Garland, M.; Heckbert, P.S. Surface simplification using quadric error metrics. Proceedings of the 24th annual conference on Computer graphics and interactive techniques - SIGGRAPH 97, 1997, 209-216.
[42] Maruya, M. Generating a texture map from object‐surface texture data. In Proceedings of the Computer Graphics Forum, 1995, 14, 397-405.
[43] Gottschalk, S.; Lin, M.C.; Manocha, D. OBBTree: A hierarchical structure for rapid interference detection. In Proceedings of the 23rd annual conference on Computer graphics and interactive techniques ACM, 1996, 171-180.
[44] Lai, J.Y.; Shu, S.H.; Huang, Y.C. A cell subdivision strategy for r‐nearest neighbors computation. Journal of the Chinese Institute of Engineers, 2006, 29, 953-965.
[45] 3DSOM software. https://www.3dsom.com/
[46] Gibson, I.; Rosen, D.W.; Stucker, B. Additive manufacturing technologies. New York: Springer, 2014, 17.
[47] Blender Online Community. Blender - a 3D modelling and rendering package, Blender Foundation, 2018.
[48] Low, K.L. Linear Least-Squares Optimization for Point-to-Plane ICP Surface Registration. Technical Report TR04-004, University of North Carolina at Chapel Hill, NC, 2004.
[49] Bretscher, O. Linear Algebra with Applications. 2nd Edition, Prentice Hall, New York, 2001.
[50] Kiefer, J. Sequential minimax search for a maximum. Proc. Amer. Math. Soc., 1953, 4(3), 502-506.
指導教授 賴景義 李朱育(Jiing-Yih Lai Ju-Yi Lee) 審核日期 2019-6-18
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明