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 dating to the cone mosaic / Michael J. Hawken and Andrew J. Parker --
Neural distinction sensitivity / Andrew B. Watson --
Spatiotemporal receptive fields and course 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 will be early / Denis G. Pelli --
Pattern discrimination, visible filters, and spatial sampling irregularity / Hugh R. Wilson --
A bilinear version of the illuminant's influence 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 conception of neighborhood speed 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 learn of texture notion / 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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Proceedings von der Malsburg, C. &. Willshaw, D. cells so that they can interconncet in of the National Academy of Science, 74, 5 1 76-5 1 78. Marr, D. (1982 ). Vision. San Francisco: Freeman. Oakley, J. P. &. Cunningham, M. J. Institute (1 990). A function space model for digital image sampling and its applica tion in image reconstruction. Computer Vision, Graphics, and Image Processing, 49, 1 7 1 - 197. 0s terberg, G. (1935). Topology of the layer of rods and cones in the human retina. ), 6, 1 - 103.

Learning receptor posi tion s from i mperfec tl y known motions. Proceedings of the SPIE conference on Human vision, visual processing & digital display, 1249, Paper ro. , Jr. ). , Jr & Yello U, J. The ability to geometrically recalibrate a sensor array without known calibration images would be a valuable ability for remote systems whose optical and sensor prop­ erties might alter or degrade over time. As long as the average density of sensors remains above the Nyquist limit of the optical system, images could in principle be perfectly reconstructed despite random sensor loss.

No appreciable differences were found in the performance of these algorithms, which all seem more difficult to implement physiologically. Maloney (1988a,b; 1989) developed the idea of using translation invariance to calibrate a visual system. The theory is presented in Maloney and Ahumada (1989). along with a brief description of the simulation algorithm of model 3_ The paper also proposes an alternative way of making the translation-invariant weights unique. In model 3, uniqueness was forced by fixing one receptive or pro­ jective field.

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