Identity recognition based on generalised linear regression classification for multi-component images

IET Computer Vision

Volumn 10, Issue 1, 2016, Pages 18-27

  Chou, Yang Ting ^a   Yang, Jar Ferr ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COLOR; DISCRIMINANT ANALYSIS; FACE RECOGNITION; LINEAR REGRESSION; REGRESSION ANALYSIS;

CANONICAL CORRELATION ANALYSIS; IDENTITY RECOGNITION; LINEAR DISCRIMINANT ANALYSIS; MULTICOMPONENT IMAGES; MULTIPLE COMPONENTS; PERFORMANCE COMPARISON; PERFORMANCE DEGRADATION; SPARSE REPRESENTATION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84954238804     PISSN: 17519632     EISSN: 17519640     Source Type: Journal    
DOI: 10.1049/iet-cvi.2014.0366     Document Type: Article

References (39)

1. Ullman, S., Basri, R.: 'Recognition by linear combinations of models', IEEE Trans. Pattern Anal. Mach. Intell., 1991, 13, (10), pp. 992-1006 (doi: 10.1109/34.99234)
2. Kim, J., Mowat, A., Poole, P., Kasabov, N.: 'Linear and non-linear pattern recognition models for classification of fruit from visible-near infrared spectra', Chemometr. Intell. Lab. Syst., 2000, 51, (2), pp. 201-216 (doi: 10.1016/S0169-7439(00)00070-8)
3. Yang, J., Zhang, D., Frangi, A.F., Yang, J.Y.: 'Two-dimensional PCA: A new approach to appearance-based face representation and recognition', IEEE Trans. Pattern Anal. Mach. Intell., 2004, 26, (1), pp. 131-137 (doi: 10.1109/TPAMI.2004.1261097)
4. Turk, M., Pentland, A.: 'Eigenfaces for recognition', J. Cogn. Neurosci., 1991, 3, (1), pp. 71-86 (doi: 10.1162/jocn.1991.3.1.71)
5. Belhumeur, P.N., Hepanha, J.P., Kriegman, D.J.: 'Eigenfaces vs. fisherfaces: recognition using class specific linear projection', IEEE Trans. Pattern Anal. Mach. Intell., 1997, 19, (7), pp. 711-720 (doi: 10.1109/34.598228)
6. Yang, M., Zhang, L., Shiu, C.K., Zhang, D.: 'Robust kernel representation with statistical local features for face recognition', IEEE Trans. Neural Netw. Learn. Syst., 2013, 24, (6), pp. 900-912 (doi: 10.1109/TNNLS.2013.2245340)
7. Burges, C.J.C.: 'A Tutorial on support vector machines for pattern recognition', Data Min. Knowl. Discov., 1998, 2, (2), pp. 121-167 (doi: 10.1023/A:1009715923555)
8. Naseem, I., Togneri, R., Bennamoun, M.: 'Linear regression for face recognition', IEEE Trans. Pattern Anal. Mach. Intell., 2010, 32, (11), pp. 2106-2112 (doi: 10.1109/TPAMI.2010.128)
9. Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y.: 'Robust face recognition via sparse representation', IEEE Trans. Pattern Anal. Mach. Intell., 2009, 31, (2), pp. 210-227 (doi: 10.1109/TPAMI.2008.79)
10. Naseem, I., Togneri, R., Bennamoun, M.: 'Robust regression for face recognition', Pattern Recogn., 2012, 45, (1), pp. 104-118 (doi: 10.1016/j.patcog.2011.07.003)
11. Huang, S.M., Yang, J.F.: 'Kernel linear regression for low resolution face recognition under variable illumination'. Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2012, pp. 1945-1948
12. Huang, S.M., Yang, J.F.: 'Improved principal component regression for face recognition under illumination variations', IEEE Signal Process. Lett., 2012, 19, (4), pp. 179-182 (doi: 10.1109/LSP.2012.2185492)
13. Huang, S.M., Yang, J.F.: 'Linear discriminant regression classification for face recognition', IEEE Signal Process. Lett., 2013, 20, (1), pp. 91-94 (doi: 10.1109/LSP.2012.2230257)
14. Huang, S.M., Yang, J.F.: 'Unitary regression classification with total minimum projection error for face recognition', IEEE Signal Process. Lett., 2013, 20, (5), pp. 443-446 (doi: 10.1109/LSP.2013.2250957)
15. Xu, Y., Zhang, D., Yang, J., Yang, J.Y.: 'A two-phase test sample sparse representation method for use with face recognition', IEEE Trans. Circuits Syst. Video Technol., 2011, 21, (9), pp. 1255-1262 (doi: 10.1109/TCSVT.2011.2138790)
16. Zhang, L., Yang, M., Feng, X.: 'Sparse representation or collaborative representation: which helps face recognition?'. Proc. IEEE Int. Conf. on Computer Vision, 2011, pp. 471-478
17. Chio, J.Y., Ro, Y.M., Plataniotis, K.N.: 'Boosting color feature selection for color face recognition', IEEE Trans. Image Process., 2011, 20, (5), pp. 1425-1434 (doi: 10.1109/TIP.2010.2093906)
18. Chio, J.Y., Ro, Y.M., Plataniotis, K.N.: 'Color face recognition for degraded face images', IEEE Trans. Syst. Man Cybern. B Cybern., 2009, 39, (5), pp. 1217-1230 (doi: 10.1109/TSMCB.2009.2014245)
19. Chio, J.Y., Ro, Y.M., Plataniotis, K.N.: 'Color local texture features for color face recognition', IEEE Trans. Image Process., 2012, 21, (3), pp. 1366-1380 (doi: 10.1109/TIP.2011.2168413)
20. Yang, J., Liu, C., Zhang, L.: ' space normalization: enhancing the discriminating power of color spaces for face recognition', Pattern Recogn., 2010, 43, (4), pp. 1454-1466 (doi: 10.1016/j.patcog.2009.11.014)
21. Jing, X., Li, S., Lan, C., Zhang, D., Yang, J., Liu, Q.: 'Color image canonical correlation analysis for face feature extraction and recognition', Signal Process., 2011, 91, (8), pp. 2132-2140 (doi: 10.1016/j.sigpro.2011.02.016)
22. Kotsia, I., Zafeiriou, S., Pitas, I.: 'Testure and shape information fusion for facial expression and facial action uint recognition', Pattern Recogn., 2008, 41, (3), pp. 833-851 (doi: 10.1016/j.patcog.2007.06.026)
23. Xie, J., Jiang, Y., Tsui, H.T.: 'Segmentation of kidney from ultrasound images based on texture and shape priors', IEEE Trans. Med. Imaging, 2005, 24, (1), pp. 45-57 (doi: 10.1109/TMI.2004.837792)
24. Groetsch, C.: 'Generalized inverses of linear operators: representation and approximation', 1977
25. Hoaglin, D.C., Welsch, R.E.: 'The hat matrix in regression and ANOVA', Am. Stat., 1978, 32, (1), pp. 17-22
26. Chiang, J.H.: 'Aggregating membership values by A choquet-fuzzy-integral based operator', Fuzzy Sets Syst., 2000, 114, (3), pp. 369-375 (doi: 10.1016/S0165-0114(98)00145-6)
27. Liu, Z., Liu, C.: 'Fusion of the complementary discrete cosine features in the YIQ colour space for face recognition', ACM Comput. Vis. Image Underst., 2008, 111, (3), pp. 249-262 (doi: 10.1016/j.cviu.2007.12.002)
28. Pinto, S.H., Sogal, S.S., Kumar, C.V.: 'Improved face recognition with multilevel BTC using YCbCr colour space', J. Emerging Technol. Adv. Eng., 2013, 3, (9), pp. 266-270
29. Yoo, S., Park, R.H., Sim, D.G.: 'Investigation of colour spaces for face recognition'. Proc. IAPR Int. Conf. on Machine Vision Applications, 2007, pp. 106-109
30. Grant, M.C., Boyd, S.P.: 'CVX.' Available at http://cvxr.com/cvx/, 2013
31. Available at http://www.cs.columbia.edu/CAVE/software/softlib/coil-100.php
32. Nene, S.A., Nayar, S.K., Murase, H.: 'Columbia object image library (COIL-100)'. Technical Report CUCS-006-96, 1996
33. Chen, J.H., Chen, C.S.: 'Object recognition based on image sequences by using inter-feature-line consistencies', Pattern Recogn., 2004, 37, (9), pp. 1913-1923 (doi: 10.1016/j.patcog.2003.12.003)
34. Han, X.H., Chen, Y.W., Ruan, X.: 'Multilinear supervised neighborhood embedding of a local descriptor tensor for scene/ object recognition', IEEE Trans. Image Process., 2012, 21, (3), pp. 1314-1326 (doi: 10.1109/TIP.2011.2168417)
35. Available at //www.ee.surrey.ac.uk/Research/VSSP/demos/colour/soil47/
36. Koubaroulis, D., Matas, J., Kittler, J.: 'Evaluating colour-based object recognition algorithms using the SOIL-47 database'. Proc. Asian Conf. on Computer Vision, 2002, pp. 840-845
37. Available at http://mla.sdu.edu.cn/sdumla-hmt.html
38. Yin, Y., Liu, L., Sun, X.: 'SDUMLA-HMT: A multimodal biometric database', biometric recognitoin, (Springer Berlin Heidelberg, 2011), pp. 260-268
39. Available at http://fei.edu.br/~cet/facedatabase.html