Fuzzy-C-mean determines the principle component pairs to estimate the degree of emotion from facial expressions

M Amin; Nitin Afzulpurkar; Matthew Dailey; Vatcharaporn Esichaikul; Dentcho Batanov

doi:10.1007/11539506_62

Journal Article2005Cited by 17

Fuzzy-C-mean determines the principle component pairs to estimate the degree of emotion from facial expressions

M Amin, Nitin Afzulpurkar, Matthew Dailey, Vatcharaporn Esichaikul, Dentcho Batanov

Fuzzy Systems and Knowledge Discovery

Springer Berlin/Heidelberg, pp. 481–481, ISBN: 9783540283126

DOI: 10.1007/11539506_62 URL

Keywords

Computer scienceFacial expressionArtificial intelligenceFace (sociological concept)Cluster analysisPrincipal component analysisPattern recognition (psychology)Gabor waveletDegree (music)Set (abstract data type)Expression (computer science)Fuzzy logicFilter (signal processing)Curse of dimensionalityGabor filterFacial recognition systemImage (mathematics)WaveletComputer vision

References

1.Anil K. Jain. (1988). Fundamentals of digital image processing.
2.R. Cowie, E. Douglas-Cowie, N. Tsapatsoulis, G. Votsis, S. Kollias, W. Fellenz, J.G. Taylor. (2001). Emotion recognition in human-computer interaction. IEEE Signal Processing Magazine, 18(1), 32–80[10.1109/79.911197]
3.J.G. Daugman. (1988). Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression. IEEE Transactions on Acoustics Speech and Signal Processing, 36(7), 1169–1179[10.1109/29.1644]
4.M. Pantie, L.J.M. Rothkrantz. (2000). Automatic analysis of facial expressions: the state of the art. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(12), 1424–1445[10.1109/34.895976]
5.Tai Sing Lee. (1996). Image representation using 2D Gabor wavelets. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(10), 959–971[10.1109/34.541406]
6.C H Chen, P S P Wang. (2005). Handbook of Pattern Recognition and Computer Vision. WORLD SCIENTIFIC eBooks[10.1142/5711]
7.Robert M. Peters, Stanley A. Shanies, John C. Peters. (1998). Fuzzy Cluster Analysis. Japanese Circulation Journal-english Edition, 62(10), 750–754[10.1253/jcj.62.750]
8.(1957). Fundamentals of Immunology. Journal of the American Pharmaceutical Association (Scientific ed ), 46(1), 76[10.1002/jps.3030460129]
9.S. Kimura, M. Yachida. (2002). Facial expression recognition and its degree estimation. , 295–300[10.1109/cvpr.1997.609338]
10.RICHARD C. DUBES. (1993). CLUSTER ANALYSIS AND RELATED ISSUES. WORLD SCIENTIFIC eBooks, 3–32[10.1142/9789814343138_0001]
11.Lalit K. Mestha, Sohail A. Dianat. (2018). Fundamentals of Digital Image Processing. , 39–118[10.1201/9781315221236-5]
12.Maja Pantić, Léon Rothkrantz. (2000). An Expert System for Recognition of Facial Actions and their Intensity. , 1026–1033
13.RICHARD C. DUBES. (1999). CLUSTER ANALYSIS AND RELATED ISSUES. WORLD SCIENTIFIC eBooks, 3–32[10.1142/9789812384737_0001]
14.Paul Ekman, Wallace V. Friesen. (1978). Facial Action Coding System. PsycTESTS Dataset[10.1037/t27734-000]

Cited By

1.Bruce Poon, M. Ashraful Amin, Hong Yan. (2011). Performance evaluation and comparison of PCA Based human face recognition methods for distorted images. International Journal of Machine Learning and Cybernetics, 2(4), 245–259[10.1007/s13042-011-0023-2]
2.Daw-Tung Lin, De-Cheng Pan. (2009). Integrating a mixed-feature model and multiclass support vector machine for facial expression recognition. Integrated Computer-Aided Engineering, 16(1), 61–74[10.3233/ica-2009-0304]
3.Bruce Poon, M. Ashraful Amin, Hong Yan. (2009). PCA based face recognition and testing criteria. , 14, 2945–2949[10.1109/icmlc.2009.5212591]
4.Caifeng Shan, Ralph Braspenning. (2009). Recognizing Facial Expressions Automatically from Video. , 479–509[10.1007/978-0-387-93808-0_18]
5.Seongah Chin, Kyoung-Yun Kim. (2009). Emotional Intensity-based Facial Expression Cloning for Low Polygonal Applications. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), 39(3), 315–330[10.1109/tsmcc.2008.2011283]
6.Ognjen Rudovic, Mihalis A. Nicolaou, Vladimir Pavlovic. (2017). Machine Learning Methods for Social Signal Processing. Cambridge University Press eBooks, 234–254[10.1017/9781316676202.018]
7.Jharna Majumdar, Ramya Avabhrith. (2014). Human Face Expression Recognition.
8.Sanad Saha, Asif Mahmud, Amin Ahsan Ali, Md. Ashraful Amin. (2016). Classifying digital X-ray images into different human body parts. , 67–71[10.1109/iciev.2016.7760190]
9.Daw-Tung Lin. (2006). Human Facial Expression Recognition Using Hybrid Network of PCA and RBFN. Lecture notes in computer science, 624–633[10.1007/11840930_65]
10.Md Sazzad Hossain, Amin Ahsan Ali, M. Ashraful Amin. (2019). Eye-Gaze to Screen Location Mapping for UI Evaluation of Webpages. , 100–104[10.1145/3338472.3338483]
11.Nur Shidah Ahmad Sharawardi, Yun-Huoy Choo, Shin-Horng Chong, Nur Ikhwan Mohamad. (2018). A Comparison of Butterworth Noise Filteration Frequency for Isotonic Muscle Fatigue Analysis. Advances in intelligent systems and computing, 232–241[10.1007/978-3-319-76351-4_24]
12.Zakia Hammal. (2013). From Face to Facial Expression. IGI Global eBooks, 1508–1531[10.4018/978-1-4666-3994-2.ch074]
13.Zakia Hammal, Zakia Hammal. (2010). From Face to Facial Expression. IGI Global eBooks, 217–238[10.4018/978-1-61520-991-0.ch012]
14.Zong-chang Yang. (2016). Compressive representation based pattern analysis for correlation image. International Journal of Machine Learning and Cybernetics, 9(2), 359–370[10.1007/s13042-016-0511-5]
15.Lukasz Zalewski. (2012). Statistical modelling for facial expression dynamics. OpenGrey (Institut de l'Information Scientifique et Technique)[link]
16.Rudovic, Ognjen. (2013). Machine Learning Techniques for Automated Analysis of Facial Expressions. Spiral (Imperial College London)[10.25560/24677]
17.M. Ashraful Amin, M. Ashraful Amin, Hong Yan, Hong Yan. (2010). Gabor and Log-Gabor Wavelet for Face Recognition. IGI Global eBooks, 62–81[10.4018/978-1-61520-991-0.ch004]

← All publications

Keywords

References

1.Anil K. Jain. (1988). Fundamentals of digital image processing.

2.R. Cowie, E. Douglas-Cowie, N. Tsapatsoulis, G. Votsis, S. Kollias, W. Fellenz, J.G. Taylor. (2001). Emotion recognition in human-computer interaction. IEEE Signal Processing Magazine, 18(1), 32–80[10.1109/79.911197]

3.J.G. Daugman. (1988). Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression. IEEE Transactions on Acoustics Speech and Signal Processing, 36(7), 1169–1179[10.1109/29.1644]

4.M. Pantie, L.J.M. Rothkrantz. (2000). Automatic analysis of facial expressions: the state of the art. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(12), 1424–1445[10.1109/34.895976]

5.Tai Sing Lee. (1996). Image representation using 2D Gabor wavelets. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(10), 959–971[10.1109/34.541406]

6.C H Chen, P S P Wang. (2005). Handbook of Pattern Recognition and Computer Vision. WORLD SCIENTIFIC eBooks[10.1142/5711]

7.Robert M. Peters, Stanley A. Shanies, John C. Peters. (1998). Fuzzy Cluster Analysis. Japanese Circulation Journal-english Edition, 62(10), 750–754[10.1253/jcj.62.750]

8.(1957). Fundamentals of Immunology. Journal of the American Pharmaceutical Association (Scientific ed ), 46(1), 76[10.1002/jps.3030460129]

9.S. Kimura, M. Yachida. (2002). Facial expression recognition and its degree estimation. , 295–300[10.1109/cvpr.1997.609338]

10.RICHARD C. DUBES. (1993). CLUSTER ANALYSIS AND RELATED ISSUES. WORLD SCIENTIFIC eBooks, 3–32[10.1142/9789814343138_0001]

11.Lalit K. Mestha, Sohail A. Dianat. (2018). Fundamentals of Digital Image Processing. , 39–118[10.1201/9781315221236-5]

12.Maja Pantić, Léon Rothkrantz. (2000). An Expert System for Recognition of Facial Actions and their Intensity. , 1026–1033

13.RICHARD C. DUBES. (1999). CLUSTER ANALYSIS AND RELATED ISSUES. WORLD SCIENTIFIC eBooks, 3–32[10.1142/9789812384737_0001]

14.Paul Ekman, Wallace V. Friesen. (1978). Facial Action Coding System. PsycTESTS Dataset[10.1037/t27734-000]

Cited By

1.Bruce Poon, M. Ashraful Amin, Hong Yan. (2011). Performance evaluation and comparison of PCA Based human face recognition methods for distorted images. International Journal of Machine Learning and Cybernetics, 2(4), 245–259[10.1007/s13042-011-0023-2]

2.Daw-Tung Lin, De-Cheng Pan. (2009). Integrating a mixed-feature model and multiclass support vector machine for facial expression recognition. Integrated Computer-Aided Engineering, 16(1), 61–74[10.3233/ica-2009-0304]

3.Bruce Poon, M. Ashraful Amin, Hong Yan. (2009). PCA based face recognition and testing criteria. , 14, 2945–2949[10.1109/icmlc.2009.5212591]

4.Caifeng Shan, Ralph Braspenning. (2009). Recognizing Facial Expressions Automatically from Video. , 479–509[10.1007/978-0-387-93808-0_18]

5.Seongah Chin, Kyoung-Yun Kim. (2009). Emotional Intensity-based Facial Expression Cloning for Low Polygonal Applications. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), 39(3), 315–330[10.1109/tsmcc.2008.2011283]

6.Ognjen Rudovic, Mihalis A. Nicolaou, Vladimir Pavlovic. (2017). Machine Learning Methods for Social Signal Processing. Cambridge University Press eBooks, 234–254[10.1017/9781316676202.018]

7.Jharna Majumdar, Ramya Avabhrith. (2014). Human Face Expression Recognition.

8.Sanad Saha, Asif Mahmud, Amin Ahsan Ali, Md. Ashraful Amin. (2016). Classifying digital X-ray images into different human body parts. , 67–71[10.1109/iciev.2016.7760190]

9.Daw-Tung Lin. (2006). Human Facial Expression Recognition Using Hybrid Network of PCA and RBFN. Lecture notes in computer science, 624–633[10.1007/11840930_65]

10.Md Sazzad Hossain, Amin Ahsan Ali, M. Ashraful Amin. (2019). Eye-Gaze to Screen Location Mapping for UI Evaluation of Webpages. , 100–104[10.1145/3338472.3338483]

11.Nur Shidah Ahmad Sharawardi, Yun-Huoy Choo, Shin-Horng Chong, Nur Ikhwan Mohamad. (2018). A Comparison of Butterworth Noise Filteration Frequency for Isotonic Muscle Fatigue Analysis. Advances in intelligent systems and computing, 232–241[10.1007/978-3-319-76351-4_24]

12.Zakia Hammal. (2013). From Face to Facial Expression. IGI Global eBooks, 1508–1531[10.4018/978-1-4666-3994-2.ch074]

13.Zakia Hammal, Zakia Hammal. (2010). From Face to Facial Expression. IGI Global eBooks, 217–238[10.4018/978-1-61520-991-0.ch012]

14.Zong-chang Yang. (2016). Compressive representation based pattern analysis for correlation image. International Journal of Machine Learning and Cybernetics, 9(2), 359–370[10.1007/s13042-016-0511-5]

15.Lukasz Zalewski. (2012). Statistical modelling for facial expression dynamics. OpenGrey (Institut de l'Information Scientifique et Technique)[link]

16.Rudovic, Ognjen. (2013). Machine Learning Techniques for Automated Analysis of Facial Expressions. Spiral (Imperial College London)[10.25560/24677]

17.M. Ashraful Amin, M. Ashraful Amin, Hong Yan, Hong Yan. (2010). Gabor and Log-Gabor Wavelet for Face Recognition. IGI Global eBooks, 62–81[10.4018/978-1-61520-991-0.ch004]