簡易檢索 / 詳目顯示

研究生: 陳治評
Chen, Jr-Ping
論文名稱: 自動化人體計測與電腦人模之建立
A Study of Automatic Anthropometry and Construction of Computer Manikins
指導教授: 蔡明俊
Tsai, Ming-June
學位類別: 碩士
Master
系所名稱: 工學院 - 機械工程學系
Department of Mechanical Engineering
論文出版年: 2003
畢業學年度: 91
語文別: 中文
論文頁數: 95
中文關鍵詞: 自動化人體計測電腦人模人體掃描人體特徵搜尋
外文關鍵詞: feature extract, anthropometry, body scan, computer manikin
相關次數: 點閱:89下載:4
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
  • 應用立體視覺於人體掃描技術已在世界各國進行許久,而目前所有的人體掃描機擷取到的資料點尚未被有效的利用。主要的原因在於該些龐大且毫無結構的資料點並無人體特徵的辨識與量測,以及簡化為有意義的特徵結構。部分掃描機搭配的軟體可以人工的方式進行特徵辨識,但這樣對於特徵位置的判斷往往非常主觀,而得到的量身數據也會不可靠。本文發展一客觀快速的自動化量身系統,並且利用搜尋之特徵在電腦中重新建構人體模型。使處理過的資料點不但簡潔,且能完整的保有人體的主要特徵,可被廣泛的應用於娛樂工業、醫學研究、人因工程與動畫模擬…等。
    本文介紹如何依據文獻上對人體特徵之描述轉化為數學定義。並撰寫演算法以電腦自動化方式搜尋人體特徵,並建立一保有人體特徵之電子人體資料結構,有效的簡化人體資料點。並利用人體結構化後之結果,進行自動化人體計測系統之開發。
    要真正發揮3D人體掃描機之效能,不應僅限於在蒐集人體尺寸的計測資料。本研究所建立的人體結構化資料,像地球的經緯度一樣,每一點均代表人體各部位的幾何意義,如此人體3D的掃描資料才能被廣泛的應用於各行業,也期望往後能將此資料結構制定為世界之標準規範。

    A Study of Automatic Anthropometry and Construction of Computer Manikins
    The 3D body scanning technology has been developed for a long time worldwide. A body scanner can generate thousands of points from the surface of a human body. However, turning the scanned data into useful information for engineering purposes is still difficult. This is a prominent classic problem of a large amount of data, but little information. The key points to solve the problem are feature recognition and data simplification.
    However, with current technology, not all the features can be automatic extracted. Some of the features still have to be located manually. The accuracy of anthropometric data will be subjective to human judgment, and the reliability of the results is poor. In this study, we developed an automatic anthropometric system and constructed a feature-based electronic manikin. The manikin can be used in garment design, medical and ergonomic researches, and movie amusement industry.
    This thesis describes how to find the body features and to construct the computer manikins. First, the descriptions of human features in the literatures are translated into mathematical definitions. The search algorithms are coded into computer program. Then a patented data structure of the manikins is defined based on the body features. This very concise human model reduces the size of the data yet contains all the geometric features. Finally, an automatic anthropometry system is developed to measure the computer manikin.
    The body dimension cannot reveal the shape of the geometric feature of human body. If we want to bring all the benefit of the 3D body scanner to industrial applications, we should not just limit to the collect the anthropometry data. Each point in the computer manikin, just like the latitudinal and longitudinal coordinate of the earth, represents a specific feature of the body. According to the structure data, the scanned data can be easily and widely used in many fields. It is expected that the computer manikins can be accepted as worldwide standard of human atlas.

    中文摘要............................................ II 英文摘要............................................ IV 誌謝................................................. V 目錄................................................ VI 圖目錄.............................................. IX 表目錄............................................. XII 第一章前言........................................ 1 1.1 研究目的與動機...................................... 1 1.2 文獻回顧............................................ 2 1.3 系統簡介............................................ 5 1.4 論文綱要............................................ 7 第二章特徵搜尋方法.................................. 8 2.1 特徵萃取之方法...................................... 9 2.2 利用影像處理技巧.................................... 9 2.3 彎曲值方法......................................... 15 2.4 截面切割........................................... 17 2.5 曲線擬合........................................... 19 第三章人體特徵搜尋................................. 21 3.1 人體特徵點......................................... 21 3.2 人體特徵線......................................... 26 第四章人體資料結構化............................... 33 4.1 以人體特徵為依據建立人體結構模型.................... 33 4.1.1 人體資料結構之說明............................ 35 4.2 資料格式定義....................................... 36 4.2.1 頸圍線結構化................................. 39 4.2.2 頸部結構化................................... 40 4.2.3 肩線結構化................................... 41 4.2.4 臂根圍結構化................................. 42 4.2.5 B 區域資料之切割.............................. 44 4.2.6 第47 圍線結構化.............................. 47 4.2.7 第48 圍線結構化.............................. 49 4.3 資料格式說明....................................... 56 4.4 服飾設計用人體模型資料結構檔案輸出格式.............. 58 4.5 人體資料結構化結果................................. 59 第五章腿部特徵搜尋與結構化......................... 62 5.1 人體腿部特徵搜尋................................... 62 5.2 腿部結構化......................................... 67 第六章自動化人體計測............................... 73 6.1 系統開發環境. ...................................... 73 6.2 系統架構........................................... 76 6.2.1 核心模組..................................... 79 6.3 人體主要計測項目之量測............................. 81 第七章結論與建議................................... 87 7.1 討論與建議......................................... 88 7.2 未來展望........................................... 89 參考文獻............................................ 90 自述................................................ 95

    1. Anand, V.B., "Computer Graphics and Geometric Modeling for Engineers," John Wiley & Sons Inc., U.S.A., 1993
    2. Ashdown, S. and S. Loker, "Use of Body Scan Data to Design Sizing Systems Based on Target Markets", America National Textile Center Annual Repot, 2001
    3. Au, C.K. and M.M.F Yuen,"Feature-based reverse engineering of mannequin for garment design," Computer-Aided Design, Vol. 31, pp. 751-759, 1999
    4. Certain, A. and W. Stuetzle, "Automatic body Measurement for mass Customization of Garments," Proces. Of IEEE Second International Conference on 3-D Digital Imaging and Modeling, pp.405-412, 1999
    5. Gonzalez, R.C. and R.E. Woods, "Digital Image Processing," Addison-Wesley publishing, U.S.A, 1992
    6. International Organization for Standardization(ISO). "Garment construction and anthropometric surveys-body dimensions," Reference No. 8559-1989. Switzerland: ISO., 1989
    7. Laszlo, M.J., "Computational Geometry and computer Graphics in C++" Prentice Hall, Inc., U.S.A., 1996
    8. M. 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
    9. Nurre, J.H., "Locating Lnadmarks on Human Body Scan Data," IEEE International Conference on 3-D Digital Imaging and Modeling, pp.289-295, 1997
    10. Pargas, R. P., N. J. Staples and J.S. Davis, "Automatic Measurement Extraction for Apparel from a Three-dimensional Body Scan," Optics and Lasers in Engineering Vol.28, pp.157-172, 1997
    11. Robinette, K., Daanen, H. and Paquet E., "The Caesar Project: A 3-D Surface Anthropometry Survey," Procs. Of IEEE Second International Conference on 3-D Digital Imaging and Modeling, pp.380-386, 1999
    12. Robinette, K., Boehmer, M. and Burnsides D., "3-D Landmark Detection and Identification in the CAESAR Project," Procs. Of Third International Conference on 3-D Digital Imaging and Modeling, pp.393-398, 2001
    13. Seitz, T., Balzulat, J. and Bubb H., "Anthropometry and Measurement of posture and motion", International Journal of Industrial Ergonomics Vol.25, pp.447-453, 2000
    14. Simmons, K.P., "Body Measurement Techniques: A Comparison of three-dimensional Body Scanning and Physical Anthropometric Method", North Carolina State University, Raleigh, North Carolina, 2001
    15. Wang, C.L., Chang K.K. and Yuen M.F., "From laser-scanned data to feature human model: a system based on fuzzy logic concept," Computer-Aided Design Vol.35, pp241-253, 2003
    16. Xu, B., Huang, Y. and Yu W., "Body Scanning and Modeling for Custom Fit Garments", Journal of Textile and Apparel Technology and Management Vol.2, Issue 2, 2002
    17. Dekker L.,"3D人體模型在電子商務及服裝上的應用",3D人體掃描技術應用研討會,財團法人中國紡織工業研究中心,2000。
    18. Dekker L.,"英國國家尺碼研究及尺碼探討",3D人體掃描技術應用研討會,財團法人中國紡織工業研究中心,2000。
    19. Dekker L.,"全身掃描3D資料處理技術",3D人體掃描技術應用研討會,財團法人中國紡織工業研究中心,2000。
    20. 小池千秋,立體剪裁初步,巨龍出版社,賴麗瓊編譯,台北,1979。
    21. 申屠光,陳建宏,"應用雷射全像攝影作立體人體尺碼之研究",華岡紡織期刊,第二卷,第四期,25-34頁,1995。
    22. 申屠光,牟雋月,彭鈞弘,"應用電腦雷射全像作人體立體結構分析之研究",華岡工程學報,第十期,199-216頁,1996。
    23. 李翔詣,陳冠宏,"服飾用3D掃描人體尺寸標記點探討",紡織中心期刊,第十一卷,第四期,249-251頁,2001。
    24. 邱文科,林明慧,"三次元人體計測在醫學上的應用",光學工程,第七十一期,7-9頁,2000。
    25. 林灶生,數位影像處理實務-使用C,松崗電腦圖書資料股份有限公司,1990。
    26. 林長慶,人體掃描機之研發與其點資料處理之研究。碩士論文,國立成功大學,台南,2003。
    27. 洪素馨,世馨裁剪,實踐大學,台北,1984。
    28. 周國村,李翔詣,陳芬苓,"服飾用人體尺寸標記點探討",3D人體銀行之建立及運用研討會,長庚大學,台北,2001。
    29. 陳芬苓,"台灣地區女子(20-49歲)人體計測調查之研究",紡織中心期刊,第九卷,第一期,1-12頁,1998。
    30. 陳冠宏,3D人體點資料的特徵萃取與電腦人模建立,碩士論文,國立成功大學機械工程研究所,台南,2001。
    31. 張世鵬,"人體計測資料庫測量方法之探討",元培學報,第六期,9-25頁,1999。
    32. 童敏雄,"人體三維模型與服裝結構關係之研究",紡織中心期刊,第八卷,第三期,304-311頁,1998。
    33. 葉泰延,立體剪裁電腦人模建立與縮放技術,碩士論文,國立成功大學機械工程研究所,台南,2000。
    34. 游智媚,以特徵為基礎之人體立體剪裁模型之建立,碩士論文,國立成功大學機械工程研究所,台南,1995。
    35. 蔡明俊,黃宏龍,林長慶,陳治評,"三度空間人體掃描機",中華民國專利。申請案號:091211434,專利核准審定書字號(92)智專二(三) 05577字第09220483850號,2003。
    36. 蔡明俊,"影像編碼壓縮方法及具人體特徵化資料結構",中華民國專利。申請案號:090131577,專利核准審定書字號(92)智專二(二) 04083字第09220535030號,2003。
    37. 衛組賞,數位影像處理,全華科技圖書股份有限公司,1980。
    38. 蕭宏偉,"人體計測資料研究",3D人體銀行之建立及運用研討會,長庚大學,台北,2001。

    下載圖示 校內:2005-07-10公開
    校外:2007-07-10公開
    QR CODE