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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 20, Iss. 7 — Jul. 1, 2003
  • pp: 1237–1252

Bubbles: a unifying framework for low-level statistical properties of natural image sequences

Aapo Hyvärinen, Jarmo Hurri, and Jaakko Väyrynen  »View Author Affiliations


JOSA A, Vol. 20, Issue 7, pp. 1237-1252 (2003)
http://dx.doi.org/10.1364/JOSAA.20.001237


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Abstract

Recently, different models of the statistical structure of natural images have been proposed. These models predict properties of biological visual systems and can be used as priors in Bayesian inference. The fundamental model is independent component analysis, which can be estimated by maximization of the sparsenesses of linear filter outputs. This leads to the emergence of principal simple cell properties. Alternatively, simple cell properties are obtained by maximizing the temporal coherence in natural image sequences. Taking account of the basic dependencies of linear filter outputs permit modeling of complex cells and topographic organization as well. We propose a unifying framework for these statistical properties, based on the concept of spatiotemporal activity “bubbles.” A bubble means here an activation of simple cells (linear filters) that is contiguous both in space (the cortical surface) and in time.

© 2003 Optical Society of America

OCIS Codes
(330.3790) Vision, color, and visual optics : Low vision
(330.4060) Vision, color, and visual optics : Vision modeling
(330.4270) Vision, color, and visual optics : Vision system neurophysiology

History
Original Manuscript: September 26, 2002
Revised Manuscript: February 10, 2003
Manuscript Accepted: February 10, 2003
Published: July 1, 2003

Citation
Aapo Hyvärinen, Jarmo Hurri, and Jaakko Väyrynen, "Bubbles: a unifying framework for low-level statistical properties of natural image sequences," J. Opt. Soc. Am. A 20, 1237-1252 (2003)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-20-7-1237

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