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研究生:劉俊豪
研究生(外文):Liu, Chunhao
論文名稱:運用臉部器官之多特徵性別分類
論文名稱(外文):Component-based Multi-Features Facial Gender Classification
指導教授:陳文雄陳文雄引用關係
指導教授(外文):Chen, Wenshiung
口試委員:鄭志宏謝哲光
口試委員(外文):Jeng, JyhhorngHsieh, Jerguang
口試日期:2012-07-13
學位類別:碩士
校院名稱:國立暨南國際大學
系所名稱:電機工程學系
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:88
中文關鍵詞:生物辨識人臉偵測人臉辨識性別分類毛髮特徵臉部特徵
外文關鍵詞:BiometricsFace DetectionFace recognitionGender classificationHair FeatureFace Feature
相關次數:
  • 被引用被引用:0
  • 點閱點閱:193
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  • 下載下載:6
  • 收藏至我的研究室書目清單書目收藏:0
近年來,生物資訊蓬勃發展,尤其是臉部器官特徵更是熱門的研究領域。早期的全自動人臉性別辨識系統受限於不成熟的人臉偵測技術,近年來人臉偵測技術逐漸地成熟,因此人臉性別辨識也開始受到重視,並可應用於廣告和監控領域中。
本論文提出利用臉部器官特徵的兩階段性別分類,在第一階段利用男性獨有的特徵,例如:禿頭和鬍鬚,使得能在第一階段有效地篩選出男性,接下來在第二階段,利用主動形狀模型(Active shape models, ASM)擷取人臉五官輪廓,快速執行臉部特徵點定位,將人臉五官及人臉輪廓幾何特徵透過支持向量機(Support vector machine, SVM)進行辨識男女性別。整個分類系統主要朝向三個方向來進行實作:影像前處理、特徵萃取與分類辨識。
本論文採用FEI人臉資料庫、FERET人臉資料庫、真實環境下拍攝照片,作為測試資料庫,分別從中取出正面臉部圖片160張(男女各80張)、1900張(男女各950張)120張(男女各60張)人臉影像進行實驗測試,最好的性別辨識率可達到88.125%。

Along with the development of biological information was growing rapidly in recent years, the technology of component-based feature has also become a popular research area. The early fully-automatic system of face gender recognition was quite limited by the immature technology. However, the face detection techniques have been gradually getting precise and reliable in recent years, so the study of face gender recognition was respected again. There are many applications which require the technology, such as advertising or monitoring.
In this thesis, a two-stage component-based face gender classification scheme is presented. Since some of the specific features, such as baldness, mustache and goatee, appear obviously only on a male human face, this scheme will filter those male images with the unique features out at the first stage. In the second stage, we used Active Shape Model (ASM) to fast locate face feature points, the feature regions would be accurately extracted and recognized by Support Vector Machine (SVM) that accomplished the gender recognition. This classification system includes three modules: image pre-processing module, feature extraction module, and classification module.
In this thesis, the analysis database is adopted from FEI face database, FERET face database and real photos. We separately select the sample amount of 160(half males and half females), 1900(half males and half females) and 120 (half males and half females) that are the face photographs to analyze. The best performance of gender recognition rate is 88.125%.

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 研究背景 1
1.2 研究動機與方向 2
1.3 論文大綱與架構 4
第二章 相關文獻回顧 5
2.1 臉部偵測相關研究 5
2.2 臉部性別分類相關研究 13
2.3 COMPONENT-BASED 14
2.4 毛髮特徵性別分類相關研究 16
第三章 相關背景知識 19
3.1 色彩空間轉換 19
3.1.1 RGB色彩模型 20
3.1.2 YCbCr色彩模型 21
3.2人臉偵測 22
3.2.1 矩形特徵與積分影像 23
3.2.2 AdaBoost 演算法與特徵分類器 29
3.2.3 Cascade分類器 30
3.3 影像二值化 30
3.4 特徵萃取相關技巧 31
3.4.1 光線補償 31
3.4.2 幾何長度正規化 32
3.5臉部器官定位技術 33
3.5.1 主動形狀模型 (Active Shape Models, ASM) 33
3.5.2 幾何計算 38
3.6支持向量機 (SUPPORT VECTOR MACHINE, SVM) 38
第四章 運用臉部器官之多特徵二階段性別分類 43
4.1 基本概念 43
4.2 整體系統架構 44
4.3前處理模組 44
4.3.1臉部定位 44
4.3.2各器官定位 45
4.4第一階段辨識 45
4.4.1特徵擷取 45
4.4.2分類辨識模組 46
4.4.3毛髮特徵計算 47
4.5第一階段運作 51
4.6 第二階段辨識 53
4.6.1特徵擷取 53
4.6.2分類辨識模組(SVM) 54
4.7第二階段運作 55
第五章 實驗結果與分析 56
5.1 系統實作環境 56
5.2 實驗使用的影像資料庫 56
5.2.1 FEI Database 56
5.2.2 FERET Database 58
5.3 實驗結果 58
5.3.1 實驗一 FEI資料庫 58
5.3.2 實驗二 FERET資料庫 61
5.3.3 實驗三 現實生活環境中拍攝照片 63
5.4 實驗分析討論 66
第六章 結論與未來工作 70
6.1結論 70
6.2未來研究方向 71
參考文獻 72

[1].H. A. Rowley, S. Baluja, and T. Kanade, “Neural Network-Based Face Detection,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 1, pp. 23-38, Jan. 1998.
[2].H. A. Rowley, S. Baluja, and T. Kanade, “Rotation Invariant Neural Network-Based Face Detection,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 38-44, 1998.
[3].K.K. Sung and T. Poggio, “Example-Based Learning for View-Based Human Face Detection,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 1, pp. 39-51, Jan. 1998
[4].R. F´eraud, O.J. Bernier, J.E. Viallet, and M. Collobert, “A Fast and Accurate Face Detection Based on Neural Network,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 23, no. 1, pp. 42-53, Jan. 2001.
[5].R.L. Hsu, M. Abdel-Mottaleb, and AK. Jain, "Face Detection in Color Images," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 5, pp. 696-706, 2002.
[6].D. Maio and D. Maltoni, “Real-time Face Location on Gray-scale Static Images,” Pattern Recognition, vol. 33, no. 9, pp. 1525-1539, Sept. 2000.
[7].K.K. Sung and T. Poggio, “Example-Based Learning for View-Based Human Face Detection,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 1, pp. 39-51, Jan. 1998.
[8].A. J. Colmenarez and T. S. Huang, “Face detection with information based maximum discrimination,” in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 782-787, 1997.
[9].H. Wu, Q. Chen, and M. Yachida, “Face Detection From Color Images Using a Fuzzy Pattern Matching Method,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 21, no. 6, pp. 557-563, June 1999.
[10].C. Garcia and G. Tziritas, “Face detection using quantized skin color regions merging and wavelet packet analysis,” IEEE Transactions on Multimedia, vol. MM-1, no. 3, pp. 264-277, Sept.1999.
[11].M.H. Yang and N. Ahuja, “Detecting Human Faces in Color Images,” in Proceedings of the IEEE International Conference on Image Processing, pp. 127-139, Oct. 1998.
[12].K.C. Yow and R. Cipolla, “Feature-based Human Face Detection,” Image and Vision Computing, vol. 15, no. 9, pp. 713-735, Sept. 1997.
[13].E. Hjelmas and B. K. Low, “Face Detection: A Survey”, Computer Vision and Image Understanding, vol.83, pp. 236-274, 2001.
[14].M. H. Yang, D. J. Kriegman and N. Ahuja, “Detecting Faces in Images: A Survey”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 1, pp. 34-58, Jan. 2002.
[15].R.Brunelli And T. Poggio, “Face recognition: features vs. template,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 15, no. 10, Oct. 1993.
[16]. G. Yang and T. S. Huang, “Human face detection in a complex background,” Pattern Recognition, vol. 27, no. 1, 1994.
[17].L. Zhang and P. Lenders, “Knowledge-based eye detection for human face recognition,” Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies/ Proceedings. KES'2000, pp. 117-120, 2000.
[18].S. A. Sirohey, “Human face segmentation and identification,” Technical Report Cs-Tr-3176, Univ. Of Maryland, 1993.
[19].Y. Araki, N. Shimada and Y. Shiral, “Detection of faces of various directions in complex backgrounds,” in Proc. of the 16th IEEE Int. Conf. on Pattern Recognition, Washington, Aug. 2002, vol. 1, pp. 409-412.
[20].Z. S. Tabatabaie, R. W. Rahmat, N. I. B. Udzir and E. Kheirkhah, “A hybrid face detection system using combination of appearance-based and feature-based methods,” International Journal of Computer Science and Network Security , vol. 9, no. 5, May 2009.
[21].E. Osuna, R. Freund and F. Girosi, “Training support vector machines: An application to face detection,” in Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 130-136, 1997.
[22].J. Yang, D. Zhang, A. F. Frangi and J. Y. Yang, “Two-dimensional PCA: a New approach to appearance-based face representation and recognition,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 26, no. 1, pp. 131-137, 2004.
[23].S. L. Phung, D. Chai, and A. Bouzerdoum, “Skin colour based face detection,” 7th Australian and New Zealand Intelligent Information Systems Conference, pp. 171-176, 2001.
[24].C. C. Chiang, W. K. Tai, M. T. Yang, Y. T. Huang, and C. J. Huang, “A novel method for detecting lips, eyes and faces in real time,” Real-Time Imaging, vol. 9, no. 4, pp. 277-287, Aug. 2008.
[25].A. Lanitis, C. J. Taylor, and T. F. Cootes, “An automatic face identification system using flexible appearance models,” Image and Vision Computing, vol. 13, no. 5, pp. 393-401, 1995.
[26].Y. Araki, N. Shimada, and Y. Shiral, “Detection of faces of various directions in complex backgrounds,” in Proc. of the 16th IEEE International Conference on Pattern Recognition, Washington, Aug. 2002, vol. 1, pp. 409-412.
[27].P. Viola and M. Jones, “Rapid object detection using a boosted cascade of simple features,” Proc. IEEE CS Conference Computer Vision and Pattern Recognition, vol. 1, pp. 511-518, 2001.
[28].E. Osuna, R. Freund, and F. Girosi, “Training support vector machines: an application to face detection,” in Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997, pp. 130-136.
[29].Paul Viola, Michael Jones, “Robust Real-Time Face Detection,” International Journal of. Computer Vision, vol. 57, no. 2, pp. 137-154, May 2004.
[30].Paul Viola, Michael Jones, “Detecting Pedestrians Using Patterns of Motion and Appearance,” International Journal of Computer Vision, vol. 63, no. 2, pp. 153-161, 2005.
[31].E. Makinen and R. Raisamo, “An experimental comparison of gender classification methods,” Pattern Recognition Letters, vol. 29, no. 10, pp. 1544-1556, 2008.
[32].Z. Sun, G. Bebis, X. Yaun and S. J. Louis, “Genetic feature subset selection for gender classification: A comparison study,” IEEE Workshop on Applications of Computer Vision, 2002.
[33].A. Khan, A. Majid and A. M. Mirza, “Combination and Optimization of classifiers in gender classification using genetic programming,” International Journal of Knowledge-Based and Intelligent Engineering Systems, vol. 9, no. 1, pp. 1-11, 2005.
[34].Q. Cheng, Z. Liu and G. Di, “Facial gender classification with eigenfaces and least squares support vector machine,” Journal of Artificial Intelligence, vol. 1, no. 1, pp. 28-33, 2008.
[35].B. Moghaddam and M. Yang, “Gender classification with support vector machines,” 4th IEEE International Conference on Automatic Face and Gesture Recognition, pp. 306-311, 2000.
[36].B. Moghaddam and M. Yang, “Learning gender with support faces,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 24, no. 5, pp. 707-711, May 2002.
[37].R. Sharma, M. Yeasin and L. A. Walavalka “Multi-modal gender classification using support vector machines (SVMs),” U.S. Patent No. 0110038, 2003.
[38].A. Jain and J. Huang, “Integrating independent components and support vector machines for gender classification,” 17th International Conference on Pattern Recognition, 2004.
[39].F. A. Wichmann, A. B. A. Graf, E. P. Simoncelli, H. H. Bülthoff and B. Schölkopf, “Machine learning applied to perception: Decision-images for gender classification,” Advances in Neural Information Processing Systems, vol. 17, 2005.
[40].B. Moghaddam and M. Yang, “Gender classification with support vector machines,” US Patent 6990217 B1, 2006.
[41].H.-C. Lian and B.-L. Lu, “Multi-view gender classification using local binary patterns and support vector machines,” Lecture Notes in Computer Science, vol. 3972, pp. 202-209, 2006.
[42].H.-C. Lian and B.-L. Lu, “Multi-view gender classification using multi-resolution local binary patterns and support vector machines,” International Journal of Neural Systems, vol. 17, no. 6, pp. 479-487, 2007.
[43].H. Ling, S. Soatto, N. Ramanathan and D. E. Jacobs, “A study of face recognition as people age,” in IEEE International Conference on Computer Vision, 2007.
[44].Q. Cheng, Z. Liu and G. Di, “Facial gender classification with eigenfaces and least squares support vector machine,” Journal of Artificial Intelligence, vol. 1, no. 1, pp. 28-33, 2008.
[45].A. B. A. Graf and F. A. Wichmann, “Gender classification of human faces,” Lecture Notes in Computer Science, Springer Berlin, vol. 2525, pp. 1-8, 2008.
[46].A. Hadid and M. Pietikäinen, “Combining motion and appearance for gender classification from video sequences,” International Conference on Pattern Recognition, pp. 1-4, 2008,
[47].M. Castrillon-Santana and Q. C. Vuong, “An analysis of automatic gender classification,” Technical Report, University de Las Palmas, Spain, 2008.
[48].I. Walavalkar, M. Yeasin, A. Narasimhamurthy and R. Sharma, “Support vector learning for gender classification using audio and visual cues,” Technical Report, Department of Computer Science and Engineering, Pennsylvania State University, vol. 2388, pp. 144–159, 2002.
[49].X. M. Leng and Y. D. Wang,” Gender classification based on fuzzy SVM,” International Conference on Machine Learning and Cybernetics, vol. 3, pp. 1260-1264, July 2008.
[50].H.-C. Kim, D. Kim, Z. Ghahramani and S. Y. Bang, “Appearance-based gender classification with Gaussian processes,” Pattern Recognition Letters, vol. 27, pp. 618-626, 2006.
[51].F. H. C. Tivive and A. Bouzerdoum, “A shunting inhibitory convolutional neural network for gender recognition,” International Conference on Pattern Recognition, vol. 4, pp. 421-424, 2006.
[52].H. Abdi, D. Valentin, B. Edelman and A. J. O'Toole, “More about the difference between men and women: evidence from linear neural network and the principal component approach,” Perception, vol. 24, pp. 539-562, 1995.
[53].D. Valentin, H. Abdi, B. Edelman and A. J. O’Toole, “Principal component and neural network analyses of face images: What can be generalized in gender classification?” Journal of Mathematical Psychology, vol. 42, no. 4, pp. 175-195, 1997.
[54].A. Jain and J. Huang, “Integrating independent components and linear discriminant analysis for gender classification,” 6th IEEE International Conference on Automatic Face and Gesture Recognition, pp. 159-163, 2004.
[55].A. Jain and J. Huang, “Integrating independent components and support vector machines for gender classification,” 17th International Conference on Pattern Recognition, 2004.
[56].S. Buchala, N. Davey, R. J. Frank and T. M. Gale, “Dimensionality reduction of face images for gender classification,” 2nd IEEE Conference on Intelligent Systems, pp. 88-93, 2004.
[57].S. Buchala, N. Davey, T. M. Gale and R. J. Frank, “Principal component analysis of gender, ethnicity, age, and identity of face images,” 7th International Conference on Multimodal Interfaces, 2005.
[58].Q. Cheng, Z. Liu and G. Di, “Facial gender classification with eigenfaces and least squares support vector machine,” Journal of Artificial Intelligence, vol. 1, no. 1, pp. 28-33, 2008.
[59].B. Wu, H. AI and C. Huang, “LUT-based Adaboost for gender classification,” International Conference on Audio- and Video-based Biometric Person Authentification, 2003.
[60].S. Baluja and H. Rowley, “Boosting sex identification performance,” International Journal of Computer Vision, vol. 71, no. 1, pp. 111-119, 2007
[61].X. Xu and T. S. Huang, “SODA-Boosting and its application to gender recognition,” S. K. Zhou et al. (Eds.): AMFG, LNCS 4778, pp. 193-204, 2007.
[62].D. Masip and J. Vitria, “Feature extraction for nearest neighbor classification: Application to gender recognition,” International Journal of Intelligent Systems, vol. 20, no. 5, pp. 561-576, 2005.
[63].H. Hill and A. Johnston, “Categorizing sex and identity from the biological motion of faces,” Current Biology, vol. 11, pp. 880-885, 2001.
[64].X. Li, S. J. Maybank and D. Tao, “Gender recognition based on local body motions,” International Conference on Systems, Man and Cybernetics, pp. 3881-3886, 2007.
[65].E. R. Morrison, L. Gralewski, N. Campbell and I. S. Penton-Voak, “Facial movement varies by sex and is related to attractiveness,” Evolution and Human Behavior, vol. 28, pp. 186-192, 2007.
[66].A. Hadid and M. Pietikäinen, “Combining motion and appearance for gender classification from video sequences,” 2008.
[67].S. Haseltine, “The perception of gender in human faces,” Journal of Gustavus Undergraduate Psychology, vol. 3, 2007.
[68].B. Golomb, D. Lawrence and T. Sejnowski, “Sexnet: A neural network identifies sex from human faces,” Advances in Neural Information Processing Systems, pp. 572-577, 1991.
[69].G. Cottrell and J. Metcalfe, “EMPATH: Face, emotion and gender recognition using holons,” Advances in Neural Informaion Processing Systems, vol. 3, MIT Press, 1991.
[70].R. Brunelli and T. Poggio, “HyperBF networks for gender classification,” DARPA Image Understanding Workshop, 1992.
[71].A. J. O’Toole, H. Abdi, K. Deffenbacher and D. Valentine, “Classifying faces by race and sex using autoassociative memory trained for recognition,” Journal of the Optical Society of America, vol. 10, pp. 405-411, 1993.
[72].S.-C. Yen, P. Sajda and L. Finkel, “Compariaon of gender recognition by PDP and radial basis function networks,” The Neurobiology of Computaion, pp. 433-438, 1994.
[73].H. Abdi, D. Valentin, B. Edelman and A. J. O'Toole, “More about the difference between men and women: evidence from linear neural network and the principal component approach,” Perception, vol. 24, pp. 539-562, 1995.
[74].M. S. Gray, D. Lawrence, B. Golomb and T. Sejnowski, “A perceptron reveals the face of sex,” Neural Computation, vol. 7, no. 6, pp. 1160-1164, 1995.
[75].S. Tamura, Kawai and H. Mitsumoto, “Male/female identification from 86 very low resolution face images by neural networks, Pattern Recogntion, vol. 29, no. 2, pp. 331-335, 1996.
[76].D. Valentin, H. Abdi, B. Edelman and A. J. O’Toole, “Principal component and neural network analyses of face images: What can be generalized in gender classification?” Journal of Mathematical Psychology, vol. 42, no. 4, pp. 175-195, 1997.
[77].A. J. O’Toole et al., “The perception of face gender: The role of stimulus structure in recognition and classification,” Memeory and Cognition, vol. 26, pp. 146-160, 1997.
[78].A. Herlitz, L.-G. Nilsson and L. Bäckman, “Gender differences in episodic memory,” Memory & Cognition, vol. 25, pp. 801-811, 1997.
[79].H. Abdi, D. Valentin and A. J. O’Toole, “A generalized autoassociator model for face processing and sex categorization: From principal components to multivariate analysis,” In D. S. Levine and W. R. Elsberry (Eds.) Optimality in Biological and Artificial Networks, Mahwah (N.J.): Erlbaum, pp. 317-337, 1997.
[80].B. Edelman, D. Valentin and H. Abdi, “Sex classification of face areas: How well can a linear neural network predict human performance?” Journal of Biological Systems, vol. 6, no. 1, pp. 241-264, 1998.
[81].S. Gutta and H. Wechsler, “Gender and ethnic classification of human faces using hybrid classifiers,” International Joint Conference on Neural Networks, vol. 6, pp. 4084-4089, 1999.
[82].S. Gutta, R. J. Huang, P. J. Philips and H. Wechsler, “Mixture of experts for classification of gender, ethnic origin, and pose of human faces,” IEEE Trans. on Neural Networks, vol. 11, no. 4, pp. 948-960, Jul. 2000.
[83].Z. sun, X. Yuan, G. Bebis and S. Louis, “Neural-network-based gender classification using genetic search for eigen-feature selection,” IEEE International Joint Conference on Neural Networks, May 2002.
[84].S. Buchala, N. Davey, R. J. Frank, T. M. Hatfield, M. J. Loomes and W. Kanargard, “Gender classification of face images: The role of global and feature-based information,” International Conference on Neural Information Processing, 2003. Also in Lecture Notes in Computer Science, vol. 3316, pp. 763-768, Springer Berlin, 2004.
[85].S. Buchala, N. Davey, R. J. Frank, M. Loomes and T. M. Gale, “The role of global and feature-based information in gender classification of faces: A comparison of human performance and computational models,” International Journal of Neural Systems, vol. 15, no. 1&2, pp. 1-8, 2005.
[86].S. L. Phung and A. Bouzerdoum, “Gender classification using a new pyramidal neural network,” Lecture Notes in Computer Science, Springer Berlin, vol. 4233, pp. 207-216, 2006.
[87].F. H. C. Tivive and A. Bouzerdoum, “A gender recognition system using shunting inhibitory convolutional neural networks,” International Joint Conference on Neural Networks, pp. 5336-5341, 2006.
[88].F. H. C. Tivive and A. Bouzerdoum, “A shunting inhibitory convolutional neural network for gender recognition,” International Conference on Pattern Recognition, vol. 4, pp. 421-424, 2006.
[89].J. F. Cross, J. Cross and J. Daly, “Sex, race, age, and beauty as factors in recognition of faces,” Perception and Psychophysics, vol. 10, pp. 393-396, 1971.
[90].H. D. Ellis, J. W. Shepherd and A. Bruce, “The effects of age and sex upon adolescents’ recognition of faces,” The Journal of Genetic Psychology, vol. 123, pp. 173-174, 1973.
[91].V. Bruce, A. M. Burton, N. Dench, E. Hanna, P. Healey, O. Mason, A. Coombes, R. Fright and A. Linney, “Sex discrimination: How do we tell the difference between male and female faces?” Perception, vol. 22, pp. 131-152, 1993.
[92].A. Burton, V. Bruce and N. Dench, “What's the difference between men and women? Evidence from facial measurements,” Perception, vol. 22, pp. 153-176, 1993.
[93].E. Brown and D. I. Perrett, “What gives a face its gender?” Perceptron, vol. 22, pp. 829-840, 1993.
[94].E. P. Chronicle, M. Y. Chan, C. Hawkings, K. Mason, K. Smethurst, K. Stallybrass, K. Westrope and K. Wright, “You can tell by the nose-judging sex from an isolated facial feature,” Perception, vol. 24, pp. 969-973, 1995.
[95].A. J. O’Toole, T. Vetter, H. H. Bulthoff and N. F. Troje, “The role of shape and texture information in sex classification,” Technical Report #23, Tübingen, Germany, 1995.
[96].M. K. Yamaguchi, T. Hirukawa and S. Kanazawa, “Judgment of gender through facial parts,” Perceptron, vol. 24, pp. 563-575, 1995.
[97].D. J. Lewkowicz, “Infants’ response to the audible and visible properties of the human face: 1. Role of lexical-syntactic content, temporal synchrony, gender, and manner of speech,” Developmental Psychology, vol. 32, no. 2, pp. 347-366, 1996.
[98].A. J. O’Toole, T. Vetter, N. F. Troje and H. Bulthoff, “Sex classification is better with three-diemnsional head structure than with image intensity information,” Perception, vol. 26, no. 1, pp. 75-84, 1997.
[99].K. A. Deffenbacher, C. Hendrickson, A. J. O’Toole, D. P. Huff and H. Abdi, “Manipulating face gender: Effects on categorization and recognition judgments,” Journal of Biological Systems, vol. 4, no. 3, pp. 219-239, 1998.
[100].C. Lewin and A. Herlitz, “Sex difference in face recognition---Women’s faces make the difference,” Brain and Cognition, vol. 50, no. 1, pp. 121-128, 2002.
[101].P. C. Quinn, J. Yahr, A. Kuhn, A. M. Slater and O. Pascalis “Representation of the gender of human faces by infants: A preference for female,” Perception, vol. 31, pp. 1109-1121, 2002.
[102].A. Cellerino, D. Borghetti and F. Sartucci, “Sex differences in face gender recognition,” Brian Research Bulletin, vol. 63, no. 6, pp. 443-449, 2004.
[103].M. Ng, V. M. Ciaramitaro, S. Anstis, G. M. Boynton and I. Fine, “Selectivity for the configural cues that identify the gender, ethnicity, and identity of faces in human cortex,” Proceedings of the National Academy of Sciences, vol. 103, no. 51, pp. 19552-19557, 2006.
[104].A. Cellerino, D. Borghetti, D. R. Valenzano, G. Tartarelli, A. Mennucci, L. Murri and F. Sartucci, “Neurophysiological correlates for the perception of facial sexual dimorphism,” Brian Research Bulletin, vol. 71, no. 5, pp. 515-522, 2007.
[105].R. M. Richards and A. W. Ellis, “Mechanisms of identity and gender decisions to faces: Who rocked in 1986?” Perception, vol. 37, pp. 1700-1719, 2008.
[106].W. Gao and H. Ai, “Face gender classification on consumer images in a multiethinic environment,” International Conference on Biometrics, LNCS 5558, pp. 169-178, 2009.
[107].S. Haseltine, “The perception of gender in human faces,” Journal of Gustavus Undergraduate Psychology, vol. 3, 2007.
[108].J. Hayashi, M. Yasumoto, H. Ito and H. Koshimizu, “Age and gender estimation based on wrinkle texture and color of facial images,” IEEE 16th International Conference on Pattern Recognition, vol. 1, pp. 405-408. 2002.
[109].K. Ueki, H. Komatsu, S. Imaizumi, K. Kaneko, S. Imaizumi, N. Sekine, J. Katto and T. Kobayashi, “A method of gender classification by integrating facial, haiestyle, and clothing images,” 17th IEEE International Conference on Pattern Recognition, 2004.
[110].T. Kawano, K. Kato and K. Yamamoto, “An analysis of the gender and age differentiation using facial parts,” IEEE International Conference on Systems, Man and Cybernetics, vol. 4, pp. 3432-3436, 2005.
[111].C. BenAbdelkader and P. Griffin, “A local region-based approach to gender classification from face images,” IEEE Conference on Computer Vision and Pattern Recognition, 2005.
[112].Y. Andreu and R. A. Mollineda, “The role of face parts in gender recognition,” Lecture Notes in Computer Science, Springer Berlin, vol. 5112, pp. 945-954, 2008.
[113]. Z. Xu, L. Lu and P. Shi, “A hybrid approach to gender classification from face images,” 19th International Conference on Pattern Recognition, pp. 1-4, Dec, 2008.
[114].“HOIP Facial Image Database,” [Online]. Available: http://www.hoip.jp .
[115].L. G. Farkas & I.R. Munro, “Anthropmetric facial proportions in medicine, charles C. Thomas, illinoiso,” 1987.
[116].L. G. Farkas, “Anthropometry of the Head and Face,” 2nd ed., Raven Press, New York, 1994
[117].V. F. Ferrario, C. Sforza, G. Pizzini, G. Vogel and A. Miani, “Sexual dimorphism in the human face assessed by Euclidean distance matrix analysis,” Journal of Anatomy, vol. 183, no. 3, pp. 593-600, 1993.
[118].Z. Y. Lin, “Face component-based gender classification,” Visual Information Processing, National Chi Nan University, Puli, Nantou, Taiwan, July 2010, 61p.
[119].Z. Ji, X. C. Lian, and B. L. Lu, “Gender classification by information fusion of hair and face,” State of the Art in Face Recognition, 2009.
[120].U. Lipowezky, O. Mamo and A. Cohen, “Using integrated color and texture features for automatic hair detection,” IEEE 25th Convention of Electrical and Electronics Engineers in Israel, pp. 51-55, 2008.
[121].J. Pavlovičová, M. Oravec and M. Osadský, “An Application of Gabor Filters for Texture Classification,” International Conference Electronics in Marine, Proceedings, pp. 23-26, 2010.
[122].Xiao-Chen Lian and Bao-Liang Lu, “Gender Classification Combining Facial and Hair Information,” State of the Art in Face Recognition, 2009.
[123].M. G. Moore, and G. Kearsley, distance education: a system view, belmont, CA: Wadsworth Publishing Company, 1996.
[124].P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss, “The FERET database and evaluation procedure for face recognition algorithm,” Image and Vision Computing, vol. 16, no. 5, pp. 295-306, 1998.
[125].R. Iga, K. Izumi, H. Hayashi, G. Fukano and T. Ohtani, “A Gender and Age Estimation System from Face Images,” SICE Annual Conference, vol. 1, pp. 756-761, August 2003.
[126].A. Samal, V. Subramani and D. Marx, “An analysis of sexual dimorphism in the human face,” CSE Journal Articles, 2007.
[127].R. C. Gonzalez and R. E. Woods, “Digital Image Processing,” 2nd Edition, N.Y.: Prentice-Hall, 2002.
[128].J. R. Parker, “Algorithms for Image Processing and Computer Vision,” John Wiley & Sons, 1996.
[129].劉震昌, “數位影像處理,” 台北市:新加坡商湯姆生亞洲私人有限公司台灣分公司, 2005.
[130].C. P. Papageorgiou, M. Oren, and T. Poggio,“A general framework for object de-tection,” In International Conference on Computer Vision, vol. 1, pp. 555-562, January 1998.
[131].方國意, “基於特徵自動定位之人臉表情辨識系統之實現,” 國立成功大學, 碩士論文, 2007.
[132].Lienhart, R., Liang, L. and Kuranov, A., “A Detector Tree of Boosted Classifiers for Real-time Object Detection and Tracking,” Microcomputer Research Labs, Intel Corperation, Santa Clara, CA., vol. 2, pp. II- 277-80, July 2003.
[133].Y. Freund and R. E. Schapire, “A decision-theoretic generalization of on-line learning and an application to boosting,” Journal of Computer and System Sciences, vol. 55, pp. 119-139, 1997.
[134].N. Otsu, “A thresholding selection method from gray-level histograms,”IEEE Trans. on System Man Cybernetics, vol. 9, pp. 62-69, 1979.
[135].Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm
[136].V. Vapnik, “Structure of Statistical Learning Theory,” Computational Learning and Probabilistic Reasoning, 1996.
[137].Chih-Wei Hsu, Chih-Chung Chang, and Chih-Jen Lin, “A Practical Guideto Support Vector Classification”, National Taiwan University, Taipei,Taiwan, 2009.

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