政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/32714

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/32714

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政大典藏 > College of Informatics > Department of Computer Science > Theses > Item 140.119/32714

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/32714

Title:	彩色影像中的人臉偵測 Face detection in Color Image
Authors:	李俊達
Contributors:	何瑁鎧李俊達
Keywords:	色彩空間人臉偵測特徵 color space face detection haar-like feature
Date:	2006
Issue Date:	2009-09-17 14:07:04 (UTC+8)
Abstract:	本論文的目的是利用人臉在彩色影像中所提供的多色彩空間資訊，來達成在變異度較大的光源中即時偵測人臉的任務。彩色影像所擁有的原始RGB色彩資訊，經過轉化到正規RGB以及HSV (色調、飽合、明度)等色彩空間後，擁有對光源變化反應減緩的特性。以此特性為基礎，在４個選定的色彩空間中定義８種不同的類赫爾特徵(Haar-like feature)，再利用推進演算法（Boosting algorithm）選出重要性最高的幾組特徵來進行對人臉的特徵。實驗結果顯示依此方法所產生的辨識器可在２點多秒內處理近百萬個次窗口(sub-window)，並對光源變化有相當程度的抵抗力。 The main goal of this thesis is to detect human face under varying lighting condition by utilizing multiple color space information in real-time. Images of RGB color space can be converted into normalized RGB and HSV color spaces and thus reduce the interference of lighting condition. Base on this mechanism, we define 8 Haar-like features inside 4 selected color spaces, and then select the important features with boosting algorithm. Experimental results show that detectors constructed with our approach are able to process nearly one million sub-windows within 2.4 seconds, being robust to the changes of lighting conditions.
Reference:	[1] Yoav Freund, Robert E. Schapire, “Experiments with a New Boosting Algorithm”, Machine Learning: Proceedings of the Thirteenth International Conference, 1996. [2] Michael Oren , Constantine Papageorgiou, Pawan Sinha, Edgar Osuna, and Tomosa Poggio, “Pedestrian Detection Using Wavelet Templates”, 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997. [3] Paul Viola, Michael Jones, “Rapid Object Detection using a Boosted Cascade of Simple Features”, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001. [4] Jie Yang, Weier Lu, and Alex Waibel, “Skin-Color Modeling and Adaptation”, Proceedings of the Third Asian Conference on Computer Vision-Volume II, 1998. [5] Richard O. Duda, Peter E.Hart and David G.Stork, Pattern Classification Second Edition, Wiley – Interscience, 2001. [6] Rein-Lien Hsu, Mohamed Abdel-Mottaleb, and Anil K. Jain, “Face Detection in Color Images”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, May 2002. [7] HD. Cheng, XH. Jiang Y. Sun, and Jing-Li Wang, “Color Image Segmentation: Advance & Prospects”, Pattern Recognition, Vol. 34: p. 2259-2281, 2001. [8] Helman Stern, Boris Efros, "Adaptive Color Space Switching for Face Tracking in Multi-Colored Lighting Environments", Fifth IEEE International Conference on Automatic Face and Gesture Recognition, p. 0249, 2002. [9] Vladimir Vezhnevets Vassili Sazonov Alla Andreeva, “A Survey on Pixel-Based Skin Color Detection Techniques”, Proceedings of Graphicon-2003, pp. 85-92 , 2003. [10] W. Skarberk and A.Koschan, “Color Images Segmentation – a survey – “, Tech.rep., Institute for Technical Informatics, Technical University of Berlin, October 1994. [11] Constantine P. Papageorgiou, Michael Oren, Tomaso Poggio, “A General Framework for Object Detection”, Proceedings of International Conference on Computer Vision, 1998. [12] Rainer Lienhard and Jochen Maydt, “An Extended Set of Haar-like Features for Rapid Object Detection”, Proceedings of the IEEE Conference on Image Processing (ICIP`02), September 2002. [13] Rema Chellappa, Charles L. Wilson, Saad Sirohey, “Human and Machine Recognition of Faces: A Survey,” Proceedings of the IEEE, Vol.83, NO.5, May 1995. [14] W. Zhao, R. Chellappa and A. Rosenfeld, P.J. Phillips, “Face Recognition: A Literature Survey,” Technical Report CAR-TR948, University of Maryland, 2000. [15] Erik Hjelmas and Boon K. Low, “Face Detection, a Survey”, Computer Vision and Image Understanding 83, 236–274, 2001. [16] Paul Viola and Michael J. Jones, “Robust Real-Time Face Detection”, International Journal of Computer Vision 57(2), p137-154, 2004. [17] K. Sobottka and I.Pitas, “Looking for Faces and Facial Features in Color Image”, Pattern Recognition and Image Analysis: Advanced in Mathematical Theory and Applications, vol. 7, no. 1, 1996 [18] J. Barreto, P. Menezes, and J. Dias, “Human-robot Interaction Based on Haar-like Features and Eigenfaces,” in International Conference on Robotics and Automation, New Orleans, 2004 [19] M. Wimmer, B. Radig, “Adaptive Skin Color Classificator,” in Proc. of the first ICGST International Conference on Graphics, Vision and Image Processing GVIP-05, 2005 [20] Tilo Burghardt, Janko Ćalić, Barry T. Thomas, “Tracking Animals in Wildlife Videos Using Face Detection,” in European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, October 2004 [21] Rafael C. Gonzalez, and Richard E. Woods, “Digital Image Processing”, 2nd Edition, Prentice Hall, 2001 [22] M.-H. Yang and N. Ahuja, "Detecting Human Faces in Color Images," in Proceedings of the International Conference on Image Processing, vol. 1, pp. 127--130, 1998.
Description:	碩士國立政治大學資訊科學學系 91753036 95
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0917530363
Data Type:	thesis
Appears in Collections:	[Department of Computer Science ] Theses

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