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研究生:滕烱和
研究生(外文):Teng, Jyung-He
論文名稱:彩色影像人臉偵測與角度追蹤系統
論文名稱(外文):Color Image Human Faces Detection and Angle Tracking System
指導教授:林瑞昇
指導教授(外文):Lin, Jui-Sheng
口試委員:顏錦柱郭淑美杜維昌侯易佑
口試委員(外文):Yan, Jun-JuhGuo, Shu-MeiDu, Wei-ChangHou, Yi-You
口試日期:2012-07-12
學位類別:碩士
校院名稱:遠東科技大學
系所名稱:電機工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:80
中文關鍵詞:人臉偵測膚色偵測Hough轉換曲線擬合
外文關鍵詞:Face DetectionSkin Color DetectionHough TransformCurve Fitting
相關次數:
  • 被引用被引用:0
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  • 下載下載:4
  • 收藏至我的研究室書目清單書目收藏:0
隨著影像處理技術的精進,人臉偵測常被應用於身份辨識及明確判讀的工具。因此,近年來人臉辨識的應用技術受到學界與業界的高度重視,紛紛投入技術的研究及發展。而人臉辨識前的影像處理部份,須使用人臉偵測之相關技術,所以準確及快速的偵測人臉亦顯得格外重要。
本論文主要提出人臉偵測與角度追蹤系統之演算法,可以在影像中準確地偵測人臉,並且計算出臉部偏轉的角度。初始以攝影機擷取人臉影像,進行色彩空間轉換,將影像二值化來使膚色分離,採用形態學中的侵蝕及膨脹法來去除影像雜訊點,而採用標記連通法找出最大區塊。在臉部區塊利用Hough轉換法,以橢圓偵測方法來找出兩眼位置,使用電子羅盤建立臉部水平角度轉換資料,加入曲線擬合法找出資料的輸入與輸出間最適應之曲線關係,使臉部偏轉偵測的角度精確化。

According to the rapid development of image processing techniques, face detection is increasingly used in identification and diagnostic tools for medical rehabilitation. As the result, facial recognition technology has received more attention in academia and business in recent years. Moreover, research and development of this technology has been significantly increased.
This thesis, an experimental study of face detection algorithm and the angle tracking system will been proposed. Based on these color spaces, the human face and calculate the angle of the face deflection can been accurately detected. Firstly, the human face images are captured using a camera. Secondly, using the color space conversion technology and the binary method, the skin color in the color image is isolated. The use of morphological filtering of erosion and dilation are to remove noises. Thirdly, the largest portion of the binary image is then identified using connected-component labeling. Finally, we use Hough transform to find the position of the two eyes by detecting the ellipse. In the face horizontal angle detection part, we use curve fitting to identify the best fitted curve between the inputs and outputs. This ensures that the results of the detection angle are as accurate as possible.

誌謝 I
摘要 II
Abstract III
目錄 IV
圖目錄 VII
表目錄 X
第一章 緒論 1
1.1前言 1
1.2 文獻回顧 2
1.3 研究動機 4
1.4 論文架構 5
第二章 文獻探討 6
2.1 簡介 6
2.2 色彩空間 6
2.2.1 HSV色彩空間 7
2.2.2 YIQ色彩空間 9
2.2.3 YCbCr色彩空間 10
2.3 人臉偵測 11
2.3.1 基於知識法 12
2.3.2 基於特徵法 12
2.3.3 人臉樣本基礎法 13
2.3.4 外觀基礎法 14
2.4人臉辨識 14
2.4.1 主要成分分析 15
2.4.2 線性判別分析 16
2.5 Hough轉換法 18
2.6 曲線擬合法 21
2.6.1線性資料 22
2.6.2非線性資料 25
第三章 系統架構與研究方法 28
3.1 系統架構 28
3.2 人臉特徵偵測 30
3.2.1 膚色偵測 32
3.2.2 去除雜訊 33
3.2.3 最大區塊偵測 37
3.2.4 臉部特徵偵測 40
3.3 人臉角度轉換 46
3.3.1 人臉影像角度之計算 47
3.3.2 頸椎之偏轉角度 51
3.3.3 臉部之水平偏轉角度 52
第四章 實驗結果 63
4.1 系統實作與使用者介面 63
4.2 實驗結果 64
第五章 結論與未來展望 74
5.1 結論 74
5.2 未來展望 74
參考文獻 76

[1]A. Bansal, K. Mehta, S. Arora, “Face recognition using PCA and LDA algorithm,” advanced computing and communication technologies, pp. 251-254, 2012.
[2]A. Pietrowcew, “Face detection in colour images using fuzzy Hough transform,” optoelectronic electron, Rev. 11, no. 3, pp. 247-251, 2003.
[3]C. Garcia, G. Tziritas, “Face detection using quantized skin color regions merging and wavelet packet analysis,” IEEE transactions on multimedia, vol. 1, no. 3, pp. 264-277, 1999.
[4]C. Lin, K. C. Fan, “Human face detection using geometric triangle relationship,” in proc. of 15th international conference on pattern recognition, vol. 2, pp. 941-944, 2000.
[5]G. Kukharev, A. Nowosielski, “Visitor identification -elaborating real time face recognition system”, in proc. 12th winter school on computer graphics, pp. 157-164, 2004.
[6]G. Yang ,H. Sun, H. Li, “Face detection based on adaptive skin model and Hough transform,” electronics, communications and control, pp. 258-260, 2011.
[7]G. Yang, T. S. Huang, “Human face detection in complex background, ” pattern recognition, vol. 27, No. 1, pp. 52-63, 1994.
[8]H. Lin, J. L. Wu, “Automatic facial feature extraction by genetic algorithms,” image processing, IEEE transations, vol. 86, pp. 834-845, 1999.
[9]J. C. Terrillon, M. David, S. Akamatsu, “Detection of human faces in complex scene images by use of a skin color model and invariant fourier-mellin moments,” International Conference on Pattern Recognition, vol. 2, pp. 1350-1355, 1998.
[10]J. Goldstein, L. D. Harmon, A. B. Lesk, “Identification of human faces,” proc. IEEE, vol. 59, no. 5, pp. 748-760, 1971.
[11]J. Illingworth, J. Kittler, “A survey of the Hough transform,” computer vision, graphics and image processing, vol. 44, no. 1, pp. 87-116, 1988.
[12]J. Kovac, P. Peer, F. Solina, “Illumination independent color-based face detection, ” image and signal processing and analysis, pp. 510-515, 2003.
[13]J. Luettin, N.A. Thacker, S.W. Beet, “Locating and tracking facial speech features,” pattern recognition, vol. 1, pp. 652-656, 1996.
[14]K. C. Yow, R. Cilpolla. “Feature-based human face detection,” department of engineering, cambridge, 1996.
[15]K. Jain, Y. Zhong, M. P. Jolly, “Deformable template models: a review,” signal processing, Vol. 71, no. 2, pp. 109-129, 1998.
[16]K. K. Sung, T. Poggio, “Example-based learning for view-based human face detection,” IEEE transactions on pattern analysis and machine intelligence, vol. 20, no. 1, pp. 39-51, 1998.
[17]K. M. V. McConville, S. Virk, “Motor learning in a virtual environment for vestibular rehabilitation,” in 3rd international IEEE conference on neural engineering, pp. 600-603, 2007.
[18]L. G. Shapiro, G. C. Stockman, “Computer Vision,” upper saddle river, prentice hall, 2001.
[19]L. Sirovich, M. Kirby, “A Low-Dimensional Procedure for the Characterization of Human Faces,” JOSA, vol. 4, no. 3, pp. 519-524, 1987.
[20]M. A. Branch, T. F. Coleman, Y. Li, “A subspace, interior, and conjugate gradient method for large-scale bound-constrained minimization problems,” SIAM Journal on Scientific Computing, vol. 21, no. 1, pp. 1-23, 1999.
[21]M. A. Turk, A. P. Pentland, “Face recognition using eigenfaces,” proc. IEEE, pp. 586-591, 1991.
[22]M. H. Yang, D. J. Kriegman, N. Ahuja, “Detecting faces in images: a survey,” IEEE transactions on pattern analysis and machine intelligence, vol.24, no.1, 2002.
[23]M. Kumar, R. Thiyagarajan, S. P. Natarajan, G. Sainarayanan, S. Arulselvi, “Gabor features and LDA based face recognition with ANN classifier,” emerging trends in electrical and computer technology, pp. 831-836, 2011.
[24]P. Bevington, D. K. Robinson, “Data reduction and error analysis for the physical sciences,” 2nd Ed., WCB McGraw-Hill, 1992.
[25]P. Viola, M. J. Jones, “Robust real-time face detection,” in proc. of 8th IEEE international conference on computer vision, vol. 2, pp. 747, 2001.
[26]R. Brunelli, T. Poggio, “Face recognition: features versus templates,” IEEE transactions on pattern analysis and machine intelligence, vol. 15, pp. 1042-1052, 1993.
[27]R. Brunelli, T. Poggio, “Face recognition: features vs. template,” IEEE transactions on pattern analysis and machine intelligence, vol. 15, no. 10, 1993.
[28]R. Feraud, O. J. Bernier, J. E. Viallet, M. Collobert, “A face and accurate face detection based on neural network,” IEEE, 1998.
[29]R. Gonzalez, R. E. Woods, “Digital image processing,” 2nd ed. prentice hall press, pp. 295, 2002.
[30]R. L. Hsu, A. M. Mohamed, A. K. Jain, “Face detection in color image,” IEEE transactions on pattern analysis and machine intelligence, vol. 24 ,no. 5, pp. 696-704, 2002.
[31]R. P. Wildes, “Iris recognition: an emerging biometric technology,” in proc. of IEEE, vol. 85, pp. 1348–1363, 1997.
[32]S. A. Sirohey, “Human face segmentation and identification,” technical report, ARPA, university of maryland ,no. 8459, 1993.
[33]S. L. Phung, A. Bouzerdoum, D. Chai, “A novel skin color model in YCbCr color space and its application to human face detection,” image processing, vol. 1, pp. 289-292, 2002.
[34]S. Liu ,D. Yi, B. Li, S. Z. Li, “Face alignment under partial occlusion in near infrared images,” pattern recognition, pp. 1-5, 2010.
[35]S. M. Bhandarkar, “A fuzzy probabilistic model for the generalized Hough transform,” IEEE TSMC, vol. 24, no. 5, pp. 745-759, 1994.
[36]S. Pavani, D. Delgado, A. F. Frangi, “Haar-like features with optimally weighted rectangles for rapid object detection,” pattern recognition, vol. 43, no. 1, pp. 160–172, 2010.
[37]S. Zhang, Z. Liu, “A new algorithm for real-time ellipse detection,” proceedings of the second international conference on machine learning and cybernetics, vol. 1, pp. 602-607, 2003.
[38]V. F. Leavers, “Survey, which Hough transform?,” computer vision, graphics and image processing, vol. 58, no. 2, pp. 250-264, 1993.
[39]W. DuMouchel, F. O’Brien, “Integrating a robust option into a multiple regression computing environment,” in computing science and statistics, proceedings of the 21st symposium on the interface, pp. 297-301, 1989.
[40]Y. K. Jang, “Robust eyelid detection for iris recognition,” IEEK, vol. 44, no. 1, pp. 94–104, 2007.
[41]Y. Lei, K. C. Wong, “Ellipse detection based on symmetry,” pattern recognition letters, vol. 20, no. 1, pp. 41-47, 1999.
[42]Z. Cheng , J. Sun, x. lei, “u-face of applied research in the face recognition” 3rd international conference on advanced computer theory and engineering, vol. 5, pp. 15-18, 2010.
[43]陳棕焱 ,人臉追蹤與辨識系統之設計與實現,國立成功大學工程科學系碩士論文,2007。
[44]楊淳凱,基於自我組織特徵映射圖之人臉表情辨識,國立中央大學資訊工程學系碩士論文,2008。
[45]廖和恩,使用膚色和臉部特徵的人臉偵測,逢甲大學通訊工程學系碩士論文,2012。
[46]徐曉珮,數位影像處理,高立圖書,2005。
[47]連國珍,數位影像處理,儒林圖書 ,2002。
[48]鐘國亮,影像處理與電腦視覺,東華書局 ,2006。

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