臺灣博碩士論文加值系統

輪廓法人體計測，顧名思義，即是利用人體照片取得輪廓來計算人體平面的特徵寬度、長度、高度的搜尋，以重建三維人體模型，並得相片中人以皮尺量身的數據。
本研究提出如何由兩張相片重構三維人體模型技術，由一般數位相機取得的人體正面與側面相片資訊，可重構出近似相片主角的三維數位人體。本研究針對於人體各特徵建立二維人體計測學定義，產生相關數學公式，據此可自動搜尋正側面影像輪廓上的人體特徵點與特徵長度、寬度，使得重構的三維數位人體模型完整保存二維輪廓特徵，並產生合理之三維結果。在評估變形結果方面，除了計算重要特徵圍之截面積與測地量外，更計算變形後數位人體與結構化人體對應點之間的距離，分別取RMS誤差、平均誤差、最大與最小誤差做為量化的評估數據，而變形結果於各特徵圍的RMS誤差均小於2.54cm。

Contour measurement of anthropometry, in terms of, the length and width measurements on the photos of human body. The research presented in this paper is to develop a methodology of 3D virtual human modeling from frontal and lateral photographs of a human body. In this study, we define several mathematic models for feature dimensions on both the frontal and lateral contours corresponding to human morphology. Base on these definitions, the feature dimensions are able to be automatically extracted from these two photos by the efficient bending value method. By adopting a 3D digital manikin behind, the new 3D model is well developed according to the feature dimensions extracted from photos. Meanwhile, we also develop an evaluation method to examine the new generated model compared to the original 3D structural model. The evaluation concludes that the 3D root-mean-square errors on those crucial body feature lines are within 2.54 cm.

摘要.........................................I
Abstract....................................II
誌謝.......................................III
目錄........................................IV
圖目錄.....................................VII
表目錄.......................................X
第一章　序論.................................1
　1-1　研究目的..............................1
　1-2　研究動機..............................2
　1-3　本文架構..............................3
第二章　文獻回顧.............................5
　2-1　掃描點重建三維人體....................5
　　2-1-1　直接重建..........................5
　　2-1-2　使用樣板模型......................7
　2-2　相片重構三維人體......................8
　2-3　統計分析重建三維人體模型..............9
第三章　研究方法............................13
　3-1　研究架構.............................13
　3-2　影像前處理...........................14
　3-3　邊界搜尋與排序.......................17
　3-4　彎曲值方法...........................19
　3-5　變形方法.............................21
第四章　輪廓法人體計測......................26
　4-1　正面與側面人體輪廓的特徵定義與搜尋...29
　4-2　正面可求的投影量.....................31
　4-3　側面可求的投影量.....................45
　4-4　實作結果與比較.......................52
第五章　以樣板模型為基礎的三維人體模型變形..54
　5-1　搜尋三維人體模型的特徵...............54
　5-2　樣板模型的變形.......................56
　　5-2-1　腋下圍到臀圍.....................57
　　5-2-2　臀圍到胯下圍.....................60
　　5-2-3　肩端圍到腋下圍...................62
　　5-2-4　頸圍到肩端圍.....................64
　5-3　實作結果.............................67
　5-4　計測驗證與結果評估...................74
　5-5　介面展示.............................77
第六章　結論、討論與未來展望................82
　6-1　結論與貢獻...........................82
　6-2　討論.................................83
　6-3　未來展望.............................84
參考文獻....................................86
附錄一......................................90
附錄二......................................98
附錄三.....................................102
作者簡歷...................................103

[1]B. Allen, B. Curless, and Z. Popovic´, The Space of Human Body Shapes: Reconstruction and Parameterization from Range Scans, ACM Transactions on Graphics, vol. 22, pp. 587-594, 2003.

[2]Z. B. Azouz, M. Rioux, C. Shu, and R. Lepage, Analysis of Human Shape Variation using Volumetric Techniques, The 17th Annual Conference on Computer Animation and Social Agnets. Geneva, Switzerland, 2004.

[3]J. Barhak and A. Fischer, Parameterization and Reconstruction from 3D Scattered Points Based on Neural Network and PDE Techniques, IEEE Transactions on Visualization and Computer Graphics, vol. 7, pp. 1-16, 2001.

[4]P. J. Besl and N. D. Mckay, A Method for Registration of 3-D Shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, pp. 239-256, 1992.

[5]V. Blanz and T. Vetter, A Morphable Model for The Synthesis of 3D Faces, Proceedings of SIGGRAPH' 99. Los Angeles, USA, 1999, pp. 187-194.

[6]J. Canny, A Computational Approach to Edge Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 8, pp. 679-698, 1986.

[7]Y. Cho, N. Okada, H. Park, M. Takatera, S. Inui, and Y. Shimizu, An Interactive Body Model for Individual Pattern Making, International Journal of Clothing Science and Technology, vol. 17, pp. 91-99, 2005.

[8]Y. Deng and B. S. Manjunath, Unsupervised Segmentation of Color-Texture Regions in Images and Video, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 23, pp. 800-810, 2001.

[9]S. Fang, R. Raghavan, and J. Richtsmeier, Volume Morphing Methods for Landmark-based 3D image Deformation, SPIE International Symposium on Medical Imaging, 1996.

[10]J. H. Gong, G. F. Zhang, H. Zhang, and J. G. Sun, Reconstruction of 3D Curvilinear Wire-Frame from Three Orthogarphics Views, Computers & Graphics, vol. 30, pp. 213-224, 2006.

[11]A. Hilton, D. Beresford, T. Gentils, R. Smith, W. Sun, and J. Illingworth, Whole-body Modeling of People from Multiview Images to Populate Virtual Worlds, The Visual Computer, vol. 16, pp. 411-436, 2000.

[12]X. Ju and P. Siebert, Conforming Generic Animatable Models to 3D Scanned Data, International Conference on Numberisation 3D - Scanning. Paris, France, 2001.

[13]I. A. Kakadiaris and D. Metaxas, 3D Human Body Model Acquisition from Multiple Views, The Fifth International Conference on Computer Vision. Boston, MA, 1995.

[14]W. Lee, J. Gu, and N. Magnenat-Thalmann, Generating Animatable 3D Virtual Humans from Photographs, Computer Graphics Forum, vol. 19, pp. 1-10, 2000.

[15]J. P. Lewis, M. Cordner, and N. Fong, Pose Space Deformation: A Unified Approach to Shape Interpolation and Skeleton-Driven Deformation, Computer Graphics Proceedings, SIGGRAPH 2000. New York: ACM, 2000, pp. 168-172.

[16]C. L. Li and K. C. Hui, Feature Recognition by Template matching, Computers & Graphics, vol. 24, pp. 569-582, 2000.

[17]L. R. Liang and C. G. Looney, Competitive Fuzz Edge Detection, Applied Soft Computing, vol. 3, pp. 123-137, 2003.

[18]N. Magnement-Thalmann and H. Seo, Data-Driven Approaches to Digital Human Modeling, The Second International Symposium on 3D Data Processing, Visualization and Transmission. Thessaloniki, Greece, 2004.

[19]N. Magnenat-Thalmann, H. Seo, and F. Cordier, Automatic Modeling of Virtual Humans and Body Clothing, Computer Science and Technology, vol. 19, pp.575-584, 2004.

[20]L. Moccozet, N. Magnement-Thalmann, and H. Seo, Dirichlet Free-Form Deformations and their Application to Hand Simulation, Proceeding of Computer Animation: IEEE Computer Society, 1997, pp. 93-102.

[21]H. Seo, F. Cordier, and N. Magnenat-Thalmann, Synthesizing Animatable Body Models with Parameterized Shape Modifications, Proceedings of the 2003 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2003, pp. 120-125.

[22]H. Seo and N. Magnenat-Thalmann, An Automatic Modeling of Human Bodies from Sizing Parameters, ACM SIGGRAPH Symposium on Interactive 3D Graphics, 2003, pp. 19-26.

[23]H. Seo and N. Magnenat-Thalmann, An Example-based Approach to Human Body Manipulation, Graphical Models, vol. 66, pp. 1-23, 2004.

[24]M. Sonka, V. Hlavac, and R. Boyle, Image Processing, Analysis, and Machine Vision, 2 ed, PWS Publishing Co., 1999.

[25]J. S. M. Vergeest, I. Horvath, and S. Spanjaard, Parameterization of Freeform Features, Proceedings of The International Conference on Shape Modeling and Applications. Los Alamitos, CA, USA: IEEE Computer Society, 2001, pp. 20-29.

[26]C. C. L. Wang, Parameterization and Parametric Design of Mannequins, Computer-Aided Design, vol. 37, pp. 83-98, 2005.

[27]C. C. L. Wang, Y. Wang, T. K. K. Chang, and M. M. F. Yuen, From Laser-scanned Data to Feature Human Model: A System Based on Fuzzy Logic Concept, Computer-Aided Design, vol. 35, pp. 241-253, 2003.

[28]C. C. L. Wang, Y. Wang, T. K. K. Chang, and M. M. F. Yuen, Virtual Human Modeling from Photographs for Garment Industry, Computer-Aided Design, vol. 35, pp. 577-589, 2003.

[29]M. J. J. Wang, W.Y. Wu, L. K. Huang, and D. M. Wang, Corner Detection Using Bending Value, Pattern Recognition Letters, vol. 16, pp. 575-583, 1995.

[30]ISO. Garment construction and anthropometric surveys – body
dimensions, IOS 8559:1999(E).

[31]陳治評, 自動化人體計測與電腦人模之建立, 國立成功大學機械工程研究所碩士論文, 2003.

[32]蔡明俊，影像編碼壓縮方法及具人體特徵的資料結構，中華民國專利字第09220535030號，2003。