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From filters to features: scale-space analysis of edge and blur coding in human vision.

From filters to features: scale-space analysis of edge and blur coding in human vision. Research Abstract Details 

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  • From filters to features: scale-space analysis of edge and blur coding in human vision. Abstract Text:

    mark a georgesonMark A Georgeson,keith a mayKeith A May,tom c a freemanTom C A Freeman,gillian s hesseGillian S Hesse,mark a georgesonMark A Georgeson,keith a mayKeith A May,tom c a freemanTom C A Freeman,gillian s hesseGillian S Hesse,

    To make vision possible, the visual nervous system must represent the most informative features in the light pattern captured by the eye. Here we use Gaussian scale-space theory to derive a multiscale model for edge analysis and we test it in perceptual experiments. At all scales there are two stages of spatial filtering. An odd-symmetric, Gaussian first derivative filter provides the input to a Gaussian second derivative filter. Crucially, the output at each stage is half-wave rectified before feeding forward to the next. This creates nonlinear channels selectively responsive to one edge polarity while suppressing spurious or "phantom" edges. The two stages have properties analogous to simple and complex cells in the visual cortex. Edges are found as peaks in a scale-space response map that is the output of the second stage. The position and scale of the peak response identify the location and blur of the edge. The model predicts remarkably accurately our results on human perception of edge location and blur for a wide range of luminance profiles, including the surprising finding that blurred edges look sharper when their length is made shorter. The model enhances our understanding of early vision by integrating computational, physiological, and psychophysical approaches.

    From filters to features: scale-space analysis of edge and blur coding in human vision. Publishing Authors By Initials

    ma georgesonMA Georgeson,ka mayKA May,tc freemanTC Freeman,gs hesseGS Hesse,ma georgesonMA Georgeson,ka mayKA May,tc freemanTC Freeman,gs hesseGS Hesse,

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    From filters to features: scale-space analysis of edge and blur coding in human vision. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Journal of vision

    VOLUME: 7

    Page Numbers: 7.1-21

    Journal Abbreviation:

    ISSN: 1534-7362

    DAY: 19

    MONTH: 10

    YEAR: 2007

    From filters to features: scale-space analysis of edge and blur coding in human vision. Information

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    LANGUAGE: eng

    NlmUniqueID: 101147197

    From filters to features: scale-space analysis of edge and blur coding in human vision. Keywords Mesh Terms:

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    Grant and Affiliation Information for From filters to features: scale-space analysis of edge and blur coding in human vision.

    AFFILIATION: School of Life & Health Sciences, Aston University, Birmingham, UK. m.a.georgeson@aston.ac.uk

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United Kingdom Wellcome T

    GRANT: 056093/B/98

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    MEDLINETA: J Vis

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