English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113656/144643 (79%)
Visitors : 51715188      Online Users : 609
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 資訊學院 > 資訊科學系 > 學位論文 >  Item 140.119/32712
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/32712


    Title: 以臉部特徵為基礎之誇張肖像畫產生系統
    Caricature Generation by Analyzing Facial Features
    Authors: 江佩穎
    Chiang , Pei-Ying
    Contributors: 廖文宏
    李蔡彥

    Liao, Wen-Hung
    Li, Tsai-Yen

    江佩穎
    Chiang , Pei-Ying
    Keywords: 誇張肖像
    人臉特徵
    影像處理
    caricature
    facial features
    image processing
    Date: 2003
    Issue Date: 2009-09-17 14:06:51 (UTC+8)
    Abstract: 誇張肖像畫是以誇張與諷刺的手法來表現模特兒的特徵。現今這類畫作比起以寫實手法繪製的肖像畫,更受到大眾的喜愛;但是人們若想要自己模仿繪製出這類的肖像畫,除了要有繪畫天賦之外,也必須經過長時間的繪畫訓練以及對人臉的觀察,才能抓出模特兒的臉部特徵,並用生動的手法誇飾出來。 因此,如果電腦能做到代替誇張肖像畫家的工作,自動模仿繪製出誇張化的卡通肖像畫,將能替人們節省大量的時間及經費。本研究主要在設計一套能誇張肖像畫的系統,以根據使用者輸入的臉部影像,自動擷取臉部的特徵(包括特徵點的相對位置、絕對位置、形狀及大小等),並藉由分析這些特徵與常人相異之處,以一致的方式自動將特徵誇張化。這個系統並能以藝術家的作品為輸入,將使用者的臉部影像轉換成具有畫家卡通風格的誇張肖像畫。除了人臉的效果外,我們也進行了頭髮分離與模擬的研究,以強化畫像風格模擬的完整性。最後,我們以實做出了系統對數個具特徵的人臉影像進行實驗,以驗證其可行性及有效性。
    Caricaturists are good at drawing sketches which express the exaggerated likeness of a person with a bit flavor of humor or sarcasm. People are willing to pay for this kind of work because it requires a lot of practice to achieve excellence. Acute observation is needed to extract the distinct features from the subject, and decent painting skill is essential to depict these features vividly. It will save much time and effort if computers can be trained used to draw caricatures. In this thesis, we developed a system which can extract and analyze facial features from simple an input facial images. The main purpose of this system is to generate the user-own caricature model by exaggerating his/her unique facial features. Different types of features, including relative locations and sizes, absolute locations and sizes, and each the shape of features are all taken in accountwill be considered. Unlike the complex process reported in the literature, we develop a transformative process that can handle different types of features in a more uniform fashion. Using an artist’s finished work as the source image; the proposed system is capable of producing cartoon-like colorful caricatures of a similar style effectively and efficiently. Besides the caricature painting of the face part, we also present some approaches for hair segmentation and hair style painting to increase make the system more the completeness of our system. Finally, we prove the feasibility and effectiveness of our system by showing several experimental results.
    Reference: [1] M. Ashikhmin, “Synthesizing natural textures,” Proceedings of ACM Symposium on Interactive 3D Graphics, pp. 217-226, 2001.
    [2] S. Brennan, “Caricature generator,” Master’s thesis, Cambridge, MIT, 1982.
    [3] T. Beier and S. Neely, “Feature-Based Image Metamorphosis,” Proceedings of SIGGRAPH`92, pp. 35-42, July 1992.
    [4] M. C. Burl, T. K. Leung, and P. Perona, “Face localization via shape statistics,” Proceedings of International Workshop on Automatic Face and Gesture Recognition, pp. 154-159, Zurich, Switzerland, June 26-28, 1995.
    [5] P. J. Burt and E. H. Adelson, “The Laplacian Pyramid as a Compact Image Code,” IEEE Transactions on Communication, 31(4), pp.532-540, 1983.
    [6] R. Chellappa, C.L. Wilson, and S. Sirhey, “Human recognition of faces: A survey,” Proceedings of the IEEE, 83(5): 705-740, May 1995.
    [7] T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham, “Active shape models - their training and application,” Proceedings of Computer Vision and Image Understanding, 61(1):38–59, 1995.
    [8] C. J. Curits, S. E. Anderson, J. A E. Seims, K. W. Fleischer, and D. H. Salesin, “Computer-Generated Watercolor,” Proceedings of SIGGRAPH 97 Conference, pp. 421-430, August 1997.
    [9] H. Chen, Y. Xu, H. Shum, S. Zhu, and N. Zheng, “Example-based facial sketch generation with non-parametric sampling,” Proceedings of International Conference on Computer Vision (ICCV’01), pp. II: 433–438, 2001.
    [10] A. A. Efros and T. K. Leung, “Texture synthesis by non-parametric sampling” Proceedings of IEEE International Conference on Computer Vision (ICCV’99), 1999
    [11] A. Eleftheriadis and A. Jacquin, “Automatic face location, detection and tracking for model-assisted coding of video teleconferencing sequences at low bit-rates,” Proceedings of Signal Processing: Image Communication, 7(4), pp. 231-248, July 1995
    [12] R. Fisker. “Making Deformable Template Models Operational.” PhD thesis, Department of Mathematical Modelling, Technical University of Denmark, Lyngby, 2000.
    [13] H.P. Graf, T. Chen, E. Perajan, and E. Cosatto. “Locating faces and facial parts,” Proceedings of International Workshop on Automatic Face and Gesture Recognition, pp. 41-46, Zurich, Switzerland, June 26-28, 1995.
    [14] C. Goodall. “Procrustes methods in the statistical analysis of shape,” Journal Royal Statistical Society, Series B, 53:285–339, 1991.
    [15] C. J. Harris and M. Stephens, “A combined corner and edge detector,” Proceedings of 4th Alvey Vision Conference, Manchester, pp. 147-151, 1999.
    [16] A. Hertzmann, “Painterly Rendering with Curved Brush Strokes of Multiple Sizes,” Proceedings of the 25th annual conference on Computer Graphics and interactive Techniques, 1998.
    [17] A. Hertzmann, C. E. Jacobs, N. Oliver, B. Curless, and D. H. Salesin, “Image Analogies,” Proceedings of the SIGGRAPH 2001 Conference, pp. 327-340, Los Angeles, California, August 12-16, 2001.
    [18] A. Hughes, Caricatures (Learn to Draw), HarperCollins Publishers, London, 1999.
    [19] M. Kass, A. Witkin, and D. Terzopoulos, “Snakes: Active contour models,” Journal of Computer Vision, 8(2):321–331, 1988
    [20] H. W. Jensen, “Global illumination using photon maps,” Proceedings of the Seventh Eurographics Workshop on Rendering, pp. 21-30. Springer Verlag, 1996.
    [21] H. Koshimizu, M. Tominaga, T. Fujiwara, and K.Murakami, “On Kansei Facial Processing for Computerized Facial Caricaturing System Picasso,” Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, pp. 294-299, 1999.
    [22] Y. Li and H. Kobatake, “Extraction of facial sketch based on morphological processing,” Processings of IEEE international conference on image, volume 3, pp. 316–319, 1997.
    [23] N. Li and Z. Huang, “A Feature-Based Pencil Drawing,” Proceedings of the 1st international conference on Computer graphics and interactive techniques in Australia and South East Asia, 2003.
    [24] L. Liang, H. Chen, Y-Q Xu, H-Y Shum. “Example-Based Caricature Generation with Exaggeration,” Proceedings of 10th Pacific Conference on Computer Graphics and Applications, 2002.
    [25] R. Lienhart and J. Maydt, "An Extended Set of Haar-like Features for Rapid Object Detection," Proceedings of IEEE International Conference on Image Processing, vol. 1, pp. 900-903, 2002.
    [26] W. C. Luo, P. C. Liu, and M. Ouhyoung, "Exaggeration of Facial Features in Caricaturing," Proceedings of ICS2002 (International Computer Symposium), Hualien, ROC, December 2002.
    [27] T.W. Pai and C.Y. Yang, “Facial Model Analysis for 2D Caricature Generating Systems,” Proceedings of Workshop on Artificial Intelligence, ICS2002, Taiwan, 2002
    [28] T. W. Pai and C. Y. Yang,” Facial Image Based and Customized Feature Vector Based 2D Caricature Generating Systems,” Proceeding of 2003 Computer Graphics Workshop, Taiwan, 2003.
    [29] L. Redman, How to Draw Caricatures, Contemporary Books, Chicago, 1984.
    [30] M P. Salisbury, M.T. Wong, J. F. Hughes, and D. H. Salesin, “Orientable Textures for Image-Based Pen-and-Ink Illustration.” Proceedings of SIGGRAPH 97 Conference, pp. 401-406, August 1997.
    [31] D. Toennies, F. Behrens, and Melanie Aurnhammer, “Feasibility of hough-transform-based iris localisation for real-time-application,” Proceedings of International Conference on Pattern Recognition (ICPR’02), volume II, pp. 1053-1056, 2002.
    [32] P. Viola and M. J. Jones. “Rapid Object Detection using a Boosted Cascade of Simple Features,” Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR2001), 2001.
    [33] D. J. Williams and M. Shah, “A Fast Algorithm for Active Contours and Curvature Estimation” Proceedings of Image Understanding, Volume 55, pp.14-26, January 1992,
    [34] G. Winlenbach and D. H. Salesin. “Computer-Generated Pen-and-Ink Illustration,” Proceedings of SIGGRAPH 94 Conference, pp. 91-100, July 1994.
    [35] A. L. Yuille, P. W. Hallinan, and D. S. Cohen, “Feature extraction from faces using deformable templates,” Journal of Computer Vision, 8(2):99–111, 1992.
    [36] C. Y. Yang, T W Pai, Y-S Hsiao, and C-H Chiang, ”Face shape classification for 2D caricature generation,” Proceedings of Workshop on Consumer Electronics, 2002.
    Description: 碩士
    國立政治大學
    資訊科學學系
    91753029
    92
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0917530291
    Data Type: thesis
    Appears in Collections:[資訊科學系] 學位論文

    Files in This Item:

    File Description SizeFormat
    53029101.pdf103KbAdobe PDF2846View/Open
    53029102.pdf72KbAdobe PDF2760View/Open
    53029103.pdf157KbAdobe PDF2940View/Open
    53029104.pdf109KbAdobe PDF2851View/Open
    53029105.pdf566KbAdobe PDF21106View/Open
    53029106.pdf435KbAdobe PDF21133View/Open
    53029107.pdf605KbAdobe PDF21062View/Open
    53029108.pdf3907KbAdobe PDF21069View/Open
    53029109.pdf2247KbAdobe PDF21316View/Open
    53029110.pdf93KbAdobe PDF2796View/Open
    53029111.pdf140KbAdobe PDF21130View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback