Quaternion-based discriminant analysis method for color face recognition

PLoS ONE

Volumn 7, Issue 8, 2012, Pages

  Xu, Yong ^a,b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b Key Laboratory of Network Oriented Intelligent Computation   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION ALGORITHM; COLOR; DISCRIMINANT ANALYSIS; FACIAL EXPRESSION; IMAGE ANALYSIS; IMAGE QUALITY; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; QUATERNION;

COLOR; DISCRIMINANT ANALYSIS; HUMANS; MODELS, THEORETICAL;

EID: 84866595628     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0043493     Document Type: Article

References (38)

1. Suhre A, Kose K, Cetin AE, Gurcan MN, (2011) Content-adaptive color transform for image compression. Optical Engineering 50.
2. Tsagaris V, (2009) Objective evaluation of color image fusion methods. Optical Engineering 48.
3. Yihui Y, Junju Z, Benkang C, Yiyong H, (2011) Objective quality evaluation of visible and infrared color fusion image. Optical Engineering 50.
4. Neagoe VE, (2006) An optimum color feature space and its applications for pattern recognition. WSEAS Transactions on Signal Processing 2.
5. Jones CF, Abbott AL, (2004) Optimization of color conversion for face recognition. Eurasip Journal on Applied Signal Processing 2004: 522-529.
6. Yang J, Liu C, (2008) Color Image Discriminant Models and Algorithms for Face Recognition. Ieee Transactions on Neural Networks 19: 2088-2098.
7. Kittler J, Sadeghi MT (2004) Physics-based decorrelation of image data for decision level fusion in face verification. In: Roli FKJWT, editor. Multiple Classifier Systems, Proceedings. pp. 354-363.
8. Shih P, Liu C, (2006) Improving the face recognition grand challenge baseline performance using color configurations across color spaces. 2006 IEEE International Conference on Image Processing, ICIP 2006, Proceedings pp. 1001-1004.
9. Chengjun L, (2008) Learning the uncorrelated, independent, and discriminating color spaces for face recognition. IEEE Transactions on Information Forensics and Security 3.
10. Wang SJ, Yang J, Sun MF, Peng XJ, Sun MM, et al. (2012) Sparse Tensor Discriminant Color Space for Face Verification. Neural Networks and Learning Systems, IEEE Transactions on 23: 876-888.
11. Liu Z, Liu C, (2008) A hybrid color and Frequency Features method for face recognition. Ieee Transactions on Image Processing 17: 1975-1980.
12. Zhiming L, Chengjun L, (2010) Fusion of color, local spatial and global frequency information for face recognition. Pattern Recognition 43.
13. Choi JY, Ro YM, Plataniotis KN, (2012) Color Local Texture Features for Color Face Recognition. Ieee Transactions on Image Processing 21: 1366-1380.
14. Zhang F, (1997) Quaternions and matrices of quaternions. Linear Algebra and its Applications 251: 21-57.
15. Hypercomplex BT (1999) Spectral Signal Representations for the processing and Analysis of Images: Christian-Albrechts-University of Kiel.
16. Denis P, Carre P, Fernandez-Maloigne C, (2007) Spatial and spectral quaternionic approaches for colour images. Computer Vision and Image Understanding 107: 74-87.
17. Shi L, Funt B, (2007) Quaternion color texture segmentation. Computer Vision and Image Understanding 107: 88-96.
18. Lilong S, Brian F, Ghassan H, Simon F (2008) Quaternion Color Curvature. pp. 338-341.
19. Angulo J (2009) Structure Tensor of Colour Quaternion Image Representations for Invariant Feature Extraction. In: Tremeau ASRTS, editor. Computational Color Imaging. pp. 91-100.
20. Felsberg M, Sommer G (1999) Optimized fast algorithms for the quaternionic Fourier transform. In: Solina FLA, editor. Computer Analysis of Images and Patterns. pp. 209-216.
21. Soo-Chang P, Ja-Han C, Jian-Jiun D, (2004) Commutative reduced biquaternions and their Fourier transform for signal and image processing applications. IEEE Transactions on Signal Processing 52.
22. Soo-Chang P, Jian-Jiun D, Ja-Han C, (2001) Efficient implementation of quaternion Fourier transform, convolution, and correlation by 2-D complex FFT. IEEE Transactions on Signal Processing 49.
23. Bulow T, Sommer G, (2001) Hypercomplex signals- A novel extension of the analytic signal to the multidimensional case. IEEE Transactions on Signal Processing 49: 2844-2852.
24. Soo-Chang P, Ching-Min C, (1997) A novel block truncation coding of color images using a quaternion-moment-preserving principle. IEEE Transactions on Communications 45.
25. Le Bihan N, Mars J, (2004) Singular value decomposition of quaternion matrices: a new tool for vector-sensor signal processing. Signal Processing 84: 1177-1199.
26. Sangwine SJ, (1998) Colour image edge detector based on quaternion convolution. Electronics Letters 34: 969-971.
27. Le Bihan N, Sangwine SJ, (2003) Quaternion principal component analysis of color images. Proceedings 2003 International Conference on Image Processing. (Cat No03CH37429).
28. Soo C, Ja-Han C, Jian-Jiun D, (2003) Quaternion matrix singular value decomposition and its applications for color image processing. Proceedings 2003 International Conference on Image Processing (Cat No03CH37429).
29. Sangwine SJ, Le Bihan N, (2006) Quaternion singular value decomposition based on bidiagonalization to a real or complex matrix using quaternion Householder transformations. Applied Mathematics and Computation 182: 727-738.
30. Janovská D, Opfer G, (2008) Matrix decompositions for quaternions. World Academy of Science, Engineering and Technology 47: 141-142.
31. Le Bihan N, Mars J (2002) Quaternion subspace method for vector-sensor wave separation; Toulouse, France. pp. 637-640.
32. Miron S, Le Bihan N, Mars JI, (2006) Quaternion-MUSIC for vector-sensor array processing. IEEE Transactions on Signal Processing 54: 1218-1229.
33. Yong X, Jing-yu Y, Zhong J, (2003) Theory analysis on FSLDA and ULDA. Pattern Recognition 36.
34. Zhang D, Song F, Xu Y, Liang Z (2008) Advanced Pattern Recognition Technologies with Applications to Biometrics. Hershey: Medical Information Science Reference.
35. Xu Y, Zhang D, Song F, Yang J-Y, Jing Z, et al. (2007) A method for speeding up feature extraction based on KPCA. Neurocomputing 70: 1056-1061.
36. Yong X, Zhang D, Jian Y, Jing-Yu Y, (2008) An approach for directly extracting features from matrix data and its application in face recognition. Neurocomputing 71.
37. Yong X, Zhang D, Jing-Yu Y, (2010) A feature extraction method for use with bimodal biometrics. Pattern Recognition 43.
38. Wang S-J, Yang J, Zhang N, Zhou C-G, (2011) Tensor Discriminant Color Space for Face Recognition. Ieee Transactions on Image Processing 20: 2490-2501.