Independent Component Analysis Applied to Feature Extraction from Colour and Stereo Images  (Correct)  
Patrik O. Hoyer and Aapo Hyvrinen Corresponding author : P. O. Hoyer...

ResearchIndex Home   Context   Related   Track Related   Site Documents   Highlight on Homepage
 
cis.hut.fi/~phoyer...colourstereo.ps.gz
Cached:  PS  PDF  Image

From:  cis.hut.fi/~phoyer/papers/

  Comment on this article  
Abstract: Previous work has shown that independent component analysis (ICA) applied to feature extraction from natural image data yields features resembling Gabor functions and simple-cell receptive elds. This article considers the eoeects of including chromatic and stereo information. The inclusion of colour leads to features divided into separate red/green, blue/yellow, and bright/dark channels. Stereo image data, on the other hand, leads to binocular receptive elds which are tuned to various disparities. The similarities between these results and observed properties of simple cells in primary visual cortex are further evidence for the hypothesis that visual cortical neurons perform some type of redundancy reduction, which was one of the original motivations for ICA in the rst place. In... (Correct Abstract)

 Active bibliography (related documents):   More   All
1.0:   Efficient Stereo Coding in the Multiscale Representation - To Be Published    H   (Correct)
0.6:   The Subregion Correspondence Model of Binocular Simple Cells - Ed Erwin And    H   (Correct)
0.6:   Survey on Independent Component Analysis - Aapo Hyvärinen (1999)   AH   (Correct)

Users who viewed this document also viewed:
0.2:   Self-Organizing Neural Networks In Feature Extraction - Mr Markus    H   (Correct)
0.1:   Undercomplete Independent Component Analysis for Signal Separation.. - John Porrill        (Correct)
0.1:   A Fast Algorithm For Estimating Overcomplete Ica Bases For Image.. - Aapo Hyvrinen    H   (Correct)

BibTeX entry:   (Correct)

Partial BibTeX entry:

@misc{ and-independent,
    author = "Patrik Hoyer And",
    title = "Independent Component Analysis Applied to Feature Extraction from Colour
      and Stereo Images"
}
Citations made in this document:

Details   Context   Amari, S., Cichocki, A., and Yang, H. (1996). A new learning algorithm for blind source separation. In Advances in Neural Information Processing Systems 8, pages 757763. MIT Press, Cambridge, MA.

Details   Context   Anzai, A., Ohzawa, I., and Freeman, R. D. (1999). Neural mechanisms for encoding binocular disparity: Receptive eld position vs. phase. Journal of Neurophysiology, 82(2):874890.

Details   Context   Atick, J. J., Li, Z., and Redlich, A. N. (1992). Understanding retinal color coding from rst principles. Neural Computation, 4:559572.

Details   Context   Atick, J. J. and Redlich, A. N. (1990). Towards a theory of early visual processing. Neural Computation, 2:308320.

Details   Context   Atick, J. J. and Redlich, A. N. (1993). Convergent algorithm for sensory receptive eld development. Neural Computation, 5:4560.

Details   Context   Barlow, H. B. (1989). Unsupervised learning. Neural Computation, 1:295311.

Details   Context   Barlow, H. B., Blakemore, C., and Pettigrew, J. D. (1967). The neural mechanism of binocular depth discrimination. Journal of Physiology, 193:327342.

Details   Context   Barrow, H. G., Bray, A. J., and Budd, J. M. L. (1996). A self-organized model of `color blob' formation. Neural Computation, 8:14271448.

Details   Context   Bell, A. and Sejnowski, T. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7:11291159.

Details   Context   Bell, A. J. and Sejnowski, T. J. (1997). The `independent components' of natural scenes are edge lters. Vision Research, 37:33273338.

Details   Context   Bienenstock, E. L., Cooper, L. N., and Munro, P. W. (1982). Theory for the development of neuron selectivity: orientation specicity and binocular interation in visual cortex. Journal of Neuroscience, 2:3248.

Details   Context   Carandini, M., Heeger, D. J., and Movshon, J. A. (1997). Linearity and normalization in simple cells of the macaque primary visual cortex. Journal of Neuroscience, 17:86218644.

Details   Context   Cardoso, J.-F. and Laheld, B. H. (1996). Equivariant adaptive source separation. IEEE Trans. on Signal Processing, 44(12):30173030.

Details   Context   Cichocki, A. and Unbehauen, R. (1996). Robust neural networks with on-line learning for blind identication and blind separation of sources. IEEE Trans. on Circuits and Systems, 43(11):894906.

Details   Context   Comon, P. (1994). Independent component analysis a new concept? Signal Processing, 36:287 314.

Details   Context   Dan, Y., Atick, J. J., and Reid, R. C. (1996). EOEcient coding of natural scences in the lateral geniculate nucleus: experimental test of a computational theory. Journal of Neuroscience, 16:33513362.

Details   Context   Daubechies, I. (1992). Ten Lectures on Wavelets. Society for Industrial and Applied Math., Philadelphia.

Details   Context   DeAngelis, G. C., Ohzawa, I., and Freeman, R. D. (1993a). Spatiotemporal organization of simple-cell receptive elds in the cat's striate cortex. I. General characteristics and postnatal development. Journal of Neurophysiology, 69:10911117.

Details   Context   DeAngelis, G. C., Ohzawa, I., and Freeman, R. D. (1993b). Spatiotemporal organization of simple-cell receptive elds in the cat's striate cortex. II. Linearity of temporal and spatial summation. Journal of Neurophysiology, 69:11181135.

Details   Context   DeValois, R. L., Lund, E. W., and Hepler, N. (1982). The orientation and direction selectivity of cells in macaque visual cortex. Vision Research, 22:531544.

Details   Context   Erwin, E. and Miller, K. D. (1998). Correlation-based development of ocularly-matched orientation and ocular dominance maps: determination of required input activities. Journal of Neuroscience, 18:59085927.

Details   Context   Field, D. J. (1994). What is the goal of sensory coding? Neural Computation, 6:559601.

Details   Context   Fischer, B. and Kruger, J. (1979). Disparity tuning and binocularity of single neurons in cat visual cortex. Experimental Brain Research, 35:18.

Details   Context   Hancock, P. J. B., Baddeley, R. J., and Smith, L. S. (1992). The principal components of natural images. Network: Computation in Neural Systems, 3:6172.

Details   Context   Heeger, D. (1992). Normalization of cell responses in cat striate cortex. Visual Neuroscience, 9:181198.

Details   Context   Hubel, D. and Wiesel, T. (1962). Receptive elds, binocular interaction and functional architecture in the cat's visual cortex. Journal of Physiology, 160:106154.

Details   Context   Hubel, D. and Wiesel, T. (1968). Receptive elds and functional architecture of monkey striate cortex. Journal of Physiology, 195:215243.

Details   Context   Hurri, J., Hyv#rinen, A., and Oja, E. (1997). Wavelets and natural image statistics. In Proc. Scandinavian Conf. on Image Analysis '97, Lappenranta, Finland.

Details   Context   Hyv#rinen, A. (1999a). Fast and robust xed-point algorithms for independent component analysis. IEEE Trans. on Neural Networks, 10(3):626634.

Details   Context   Hyv#rinen, A. (1999b). Sparse code shrinkage: Denoising of nongaussian data by maximum likelihood estimation. Neural Computation, 11(7):17391768.

Details   Context   Hyv#rinen, A. (1999c). Survey on independent component analysis. Neural Computing Surveys, 2:94128.

Details   Context   Hyv#rinen, A. and Hoyer, P. O. (2000). Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces. Neural Computation. 17 (in press).

Details   Context   Hyv#rinen, A., Hoyer, P. O., and Oja, E. (2000). Image denoising by sparse code shrinkage. In Haykin, S. and Kosko, B., editors, Intelligent Signal Processing. IEEE Press. To appear.

Details   Context   Hyv#rinen, A. and Oja, E. (1997). A fast xed-point algorithm for independent component analysis. Neural Computation, 9(7):14831492.

Details   Context   Jutten, C. and Herault, J. (1991). Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture. Signal Processing, 24:110.

Details   Context   Karhunen, J., Oja, E., Wang, L., Vig#rio, R., and Joutsensalo, J. (1997). A class of neural networks for independent component analysis. IEEE Trans. on Neural Networks, 8(3):486 504.

Details   Context   Lee, T.-W., Wachtler, T., and Sejnowski, T. J. (2000). The spectral independent components of natural scenes. In Proc. IEEE Int. Workshop on Biologically Motivated Computer Vision (BMCV'00), pages 527534, Seoul, Korea.

Details   Context   LeVay, S. and Voigt, T. (1988). Ocular dominance and disparity coding in cat visual cortex. Visual Neuroscience, 1:395414.

Details   Context   Li, Z. and Atick, J. J. (1994). EOEcient stereo coding in the multiscale representation. Network: Computation in Neural Systems, 5:157174.

Details   Context   Linsker, R. (1988). Self-organization in a perceptual network. Computer, 21:105117.

Details   Context   Livingstone, M. S. and Hubel, D. H. (1984). Anatomy and physiology of a color system in the primate visual cortex. Journal of Neuroscience, 4:309356.

Details   Context   Mallat, S. G. (1989). A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. on PAMI, 11:674693.

Details   Context   Marr, D. (1982). Vision. W. H. Freeman and Company, New York.

Details   Context   Miller, K. D. (1990). Correlation-based models of neural development. In Gluck, M. and Rumelhart, D., editors, Neuroscience and Connectionist Theory, pages 267353. Lawrence Erlbaum, Hillsdale, NJ.

Details   Context   Mullen, K. T. (1985). The contrast sensitivity of human colour vision to red-green and blueyellow chromatic gratings. Journal of Physiology, 359:381400.

Details   Context   Oja, E. (1982). A simplied neuron model as a principal component analyzer. J. of Mathematical Biology, 15:267273.

Details   Context   Oja, E. (1997). The nonlinear PCA learning rule in independent component analysis. Neurocomputing, 17(1):2546.

Details   Context   Olshausen, B. A. and Field, D. J. (1996). Emergence of simple-cell receptive eld properties by learning a sparse code for natural images. Nature, 381:607609.

Details   Context   Olshausen, B. A. and Field, D. J. (1997). Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision Research, 37:33113325.

Details   Context   Pajunen, P. (1998). Blind source separation using algorithmic information theory. Neurocomputing, 22:3548.

Details   Context   Poggio, G. F. and Fischer, B. (1977). Binocular interaction and depth sensitivity in striate and prestriate cortex of behaving rhesus monkey. Journal of Neurophysiology, 40:13921405.

Details   Context   Shoham, D., H#bener, M., Schulze, S., Grinvald, A., and Bonhoeoeer, T. (1997). Spatio-temporal frequency domains and their relation to cytochrome oxidase staining in cat visual cortex. Nature, 385:529533.

Details   Context   Shouval, H., Intrator, N., Law, C. C., and Cooper, L. N. (1996). Eoeect of binocular cortical misalignment on ocular dominance and orientation selectivity. Neural Computation, 8:1021 1040.

Details   Context   Tootell, R. B. H., Silverman, M. S., Hamilton, S. L., Switkes, E., and Valois, R. L. D. (1988). Functional anatomy of macaque striate cortex. V. Spatial frequency. Journal of Neuroscience, 8:16101624.

Details   Context   Ts'o, D. Y. and Gilbert, C. D. (1988). The organization of chromatic and spatial interactions in the primate striate cortex. Journal of Neuroscience, 8(5):17121727.

Details   Context   Ts'o, D. Y. and Roe, A. W. (1995). Functional compartments in visual cortex: Segregation and interaction. In Gazzaniga, M. S., editor, The Cognitive Neurosciences, pages 325337. MIT Press.

Details   Context   Proc. Royal Society ser. B, 251:6168. 19 van Hateren, J. H. and Ruderman, D. L. (1998). Independent component analysis of natural image sequences yields spatiotemporal lters similar to simple cells in primary visual cortex. Proc. Royal Society ser. B, 265:23152320.

Details   Context   Wandell, B. A. (1995). Foundations of Vision. Sinauer Associates, Inc., Sunderland (Mass.).

Details   Context   Zhu, Y. and Qian, N. (1996). Binocular receptive eld models, disparity tuning, and characteristic disparity. Neural Computation, 8:16111641.

Sample documents with summaries:   Summarize this document
Flexible and Efficient Sharing of Protected Abstractions - George Candea
A Method For Direct Audio Search With Applications To Indexing... - Sue Johnson, Philip...
A Systematic Approach to the Automatic Conversion of a "Live"... - Claudia Schremmer Volker

ResearchIndex - www.researchindex.com - NEC Research Institute 1997-2000.