Local image descriptors using supervised kernel ICA

IEICE Transactions on Information and Systems

Volumn E92-D, Issue 9, 2009, Pages 1745-1751

  Yamazaki, Masaki ^a   Fels, Sidney ^b  

^a RITSUMEIKAN UNIVERSITY   (Japan)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Local image descriptors; Object recognition; Supervised kernel ICA

Indexed keywords

INFORMATION SCIENCE; SOFTWARE ENGINEERING;

DISCRIMINATIVE METHODS; GRADIENT IMAGES; HIGH DIMENSIONALITY; KERNEL ICA; LOCAL IMAGE DESCRIPTORS; NON LINEAR KERNELS; NONLINEAR PROPERTIES; UNSUPERVISED ALGORITHMS;

OBJECT RECOGNITION;

EID: 77950326116     PISSN: 09168532     EISSN: 17451361     Source Type: Journal    
DOI: 10.1587/transinf.E92.D.1745     Document Type: Article

References (19)

1. R. Fergus, L. Fei-Fei, P. Perona, and A. Zisserman, "Learning object categories from google's image search," Proc. 10th Int. Conf. on Computer Vision, pp.1816-1823, Beijing, China, Oct. 2005.
2. J. Sivic and A. Zisserman, "Video google: A text retrieval approach to object matching in videos," Proc. 9th Int. Conf. on Computer Vision, pp.1470-1477, Nice, France, Oct. 2003.
3. D.G. Lowe, "Distinctive image features from scale invariant key-points," Int. J. Comput. Vis., vol.60, no.2, pp.91-110, Nov. 2004.
4. Y. Ke and R. Sukthankar, "PCA-SIFT: A more distinctive representation for local image descriptors," Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, pp.506-513, Washington DC, USA, June 2004.
5. A. Hyvarinen, "Survey on independent component analysis," Neural Computing Surveys, vol.2, pp.94-128, 1999.
6. A.J. Bell and T.J. Sejnowski, "The 'independent components' of natural scenes are edge filters," Vision Research, vol.37, no.23, pp.3327-3338, 1997.
7. M.S. Bartlett, J.R. Movellan, and T.J. Sejnowski, "Face recognition by independent component analysis," IEEE Trans. Neural Netw., vol.13, no.6, pp.1450-1464, 2002.
8. R. Jenssen and T. Eltoft, "Independent component analysis for texture segmentation," Journal of Pattern Recognition Society, vol.36, no.10, pp.2301-2315, 2003.
9. M. Bressan, D. Guillamet, and J. Vitria, "Using an ICA representation of local color histograms for object recognition," Journal of Pattern Recognition Society, vol.36, no.3, pp.691-701, 2003.
10. H.S. Sahambi and K. Khorasani, "A neural-network appearance-based 3-D object recognition using independent component analysis," IEEE Trans. Neural Netw., vol.14, no.1, pp.138-149, 2003.
11. Y. Sakaguchi, S. Ozawa, and M. Kotani, "Feature extraction using supervised independent component analysis by maximizing class distance," IEEJ Trans. EIS, vol.124, no.1, pp.157-163, 2004.
12. Q. Liu, J. Cheng, H. Lu, and S. Ma, "Modeling face appearance with nonlinear independent component analysis," Proc. 6th Int. Conf. on Automatic Face and Gesture Recognition, pp.761-766, Seoul, Korea, May 2004.
13. B. Schalkopf, A. Smola, and K. Muller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Comput., vol.10, no.5, pp.1299-1319, 1998.
14. G. Baudat and F. Anouar, "Generalized discriminant analysis using a kernel approach," Neural Comput., vol.12, no.10, pp.2385-2404, 2000.
15. B.A. Olshausen and D.J. Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature, vol.381, pp.607-609, 1996.
16. L. Fei-Fei, R. Fergus, and P. Perona, "Learning generative visual models from few training examples: An incremental bayesian approach testing on 101 object categories," Proc. IEEE CVPR Workshop of Generative Model Based Vision, pp.178-187, Washington DC, USA, July 2004.
17. E.P. Simoncelli and A. Olshausen, "Natural image statistics and neural representation," NeuroScience, vol.24, no.1, pp.193-216, 2001.
18. K. Mikolajczyk and C. Schmid, "A performance evaluation of local descriptors," Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, vol.2, pp.257-263, 2003.
19. K.-R. Muller, S. Mika, G. Ratsch, K. Tsuda, and B. Scholkopf, "An introduction to kernel-based learning algorithms," IEEE Trans. Neural Netw., vol.12, no.2, pp.181-201, 2001.