Computational models of visual processing by Michael Landy, J. Anthony Movshon

By Michael Landy, J. Anthony Movshon

The plenoptic functionality and the weather of early imaginative and prescient / Edward H. Adelson and James R. Bergen --
Learning receptor positions / Albert J. Ahumada, Jr. --
A version of aliasing in extrafoveal human imaginative and prescient / Carlo L.M. Tiana ... [et al.] --
Models of human rod receptors and the ERG / Donald C. Hood and David G. Birch --
The layout of chromatically opponent receptive fields / Peter Lennie, P. William Haake, and David R. Williams --
Spatial receptive box association in monkey V1 and its courting to the cone mosaic / Michael J. Hawken and Andrew J. Parker --
Neural distinction sensitivity / Andrew B. Watson --
Spatiotemporal receptive fields and path selectivity / Robert Shapely, R. Clay Reid, and Robert Soodak --
Nonlinear version of neural responses in cat visible cortex / David J. Heeger. A template matching version of subthreshold summation / Jacob Nachmias --
Noise within the visible method could be early / Denis G. Pelli --
Pattern discrimination, visible filters, and spatial sampling irregularity / Hugh R. Wilson --
A bilinear version of the illuminant's impression on colour visual appeal / David H. Brainard and Brian A. Wandell --
Shading ambiguity : reflectance and illumination / Michael D'Zmura --
Transparency and the cooperative computation of scene attributes / Daniel Kersten --
Theories for the visible belief of neighborhood pace and coherent movement / Norberto M. Grzywacz and Alan L. Yuille --
Computational modeling of visible texture segregation / James R. Bergen and Michael S. Landy --
Complex channels, early neighborhood nonlinearities, and normalization in texture segregation / Norma Graham. Orthogonal distribution research : a brand new method of the research of texture conception / Charles Chubb and Michael S. Landy --
Shape from X : psychophysics and computation / Heinrichs H. Bülthoff --
Computational matters in fixing the stereo correspondence challenge / John P. Frisby and Stephen B. Pollard --
Stereo, surfaces, and form / Andrew J. Parker ... [et al.].

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Geometrically Correct It is often pointed out that the goal of vision science is not to generate an image in the head where there is no one to look at it, the goal is to analyze the image. Unlike the wholistic view of the Gestaltists (Kohler, 1947), mod­ em vision theory stresses the multiplicity of computa­ tional problems that the vision system must solve (Marr, 1982) and the physiology seems to support the notion that independent processing streams solve these problems in parallel (DeYoe &: Van Essen, 1988).

When the learning rate is less than unity, the process does not copy from one place 31 The first two models have been previously described by Ahumada and Yellott (1989). That presentation also describes ways of speeding up the convergence of the matrix inversion calculation, while still maintaining one computational advantage of the method described here. its ability to take advantage of locality in the spread functions. Initial convergence considerations for all three models appear in Ahumada and Mulligan (1989).

5 we see that we are 26 Receptors and Sampling Fig. 6 Fig. 5 modified for wei ght Least squares interpolation. The weights of the network form a combined interpolation from a weighted sum calibration by model 2. Layer I has spontaneously adive units that of sinc functions cen tered at the receptor positions. The weights are the output from a single input has unity gain at its adivate the spread functions formerly activated by the network sel ec ted so that own position and output. An active unit (large arrow) generates a sp read fundion signal plane (verficalline).

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