Characterizing the Whiteness Dependence of The
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Geometry of Some Functional Architectures of Vision
Singular Landscapes: in honor of Bernard Teissier 22-26 June, 2015 Geometry of some functional architectures of vision Jean Petitot CAMS, EHESS, Paris J. Petitot Neurogeometry Bernard and visual neuroscience Bernard helped greatly the developement of geometrical models in visual neuroscience. In 1991 he organized the first seminars on these topics at the ENS and founded in 1999 with Giuseppe Longo the seminar Geometry and Cognition. From 1993 on, he organized at the Treilles Foundation many workshops with specialists such as Jean-Michel Morel, David Mumford, G´erard Toulouse, St´ephaneMallat, Yves Fr´egnac, Jean Lorenceau, Olivier Faugeras. He organised also in 1998 with J.-M. Morel and D. Mumford a special quarter Mathematical Questions on Signal and Image processing at the IHP. He worked with Alain Berthoz at the College de France (Daniel Bennequin worked also a lot there on geometrical models in visual neuroscience). J. Petitot Neurogeometry Introduction to Neurogeometry In this talk I would try to explain some aspects of Neurogeometry, concerning the link between natural low level vision of mammals and geometrical concepts such as fibrations, singularities, contact structure, polarized Heisenberg group, sub-Riemannian geometry, noncommutative harmonic analysis, etc. I will introduce some very basic and elementary experimental facts and theoretical concepts. QUESTION: How the visual brain can be a neural geometric engine? J. Petitot Neurogeometry The visual brain Here is an image of the human brain. It shows the neural pathways from the retina to the lateral geniculate nucleus (thalamic relay) and then to the occipital primary visual cortex (area V 1). J. Petitot Neurogeometry fMRI of human V1 fMRI of the retinotopic projection of a visual hemifield on the corresponding V1 (human) hemisphere. -
The Retina the Retina the Pigment Layer Contains Melanin That Prevents Light Reflection Throughout the Globe of the Eye
The Retina The retina The pigment layer contains melanin that prevents light reflection throughout the globe of the eye. It is also a store of Vitamin A. Rods and Cones Photoreceptors of the nervous system responsible for transforming light energy into the electrical energy of the nervous system. Bipolar cells Link between photoreceptors and ganglion cells. Horizontal cells Provide inhibition between bipolar cells. This is the mechanism of lateral inhibition which is important to edge detection and contrast enhancement. Amacrine cells Transmit excitatory signals from bipolar to ganglion cells. Thought to be important in signalling changes in light intensity. Neural circuitry About 125 rods and 5 cones converge on each optic nerve fibre. In the central portion of the fovea there are no rods. The ratio of cones to optic nerves in the fovea is one. This increases the visual acuity of the fovea. Rods and Cones Photosensitive substance in rods is called rhodopsin and in cones is called iodopsin. The Photochemistry of Vision Rhodopsin and Iodopsin Cis-retinal +Opsin Light sensitive Light Trans-retinal Opsin Light insensitive This is a reversible reaction Cis-retinal +Opsin Light sensitive Vitamin A In the presence of light, the rods and cones are hyperpolarized mv t Hyperpolarizing potential lasts for upto half a second, leading to the perception of fusion of flickering lights. Receptor potential – rod and cone potential Hyperpolarizing receptor potential caused by rhodopsin decomposition. Hyperpolarizing potential lasts for upto half a second, leading to the fusion of flickering lights. Light and dark adaptation in the visual system The eye is capable of vision in conditions of light that vary greatly in intensity The eye adapts dynamically to lighting conditions Light and Dark Adaptation We are able to see in light intensities that vary greatly. -
Informing Computer Vision with Optical Illusions
Informing Computer Vision with Optical Illusions Nasim Nematzadeh David M. W. Powers Trent Lewis College of Science and Engineering College of Science and Engineering College of Science and Engineering Flinders University Flinders University Flinders University Adelaide, Australia Adelaide, Australia Adelaide, Australia [email protected] [email protected] [email protected] Abstract— Illusions are fascinating and immediately catch the increasingly detailed biological characterization of both people's attention and interest, but they are also valuable in retinal and cortical cells over the last half a century (1960s- terms of giving us insights into human cognition and perception. 2010s), there remains considerable uncertainty, and even some A good theory of human perception should be able to explain the controversy, as to the nature and extent of the encoding of illusion, and a correct theory will actually give quantifiable visual information by the retina, and conversely of the results. We investigate here the efficiency of a computational subsequent processing and decoding in the cortex [6, 8]. filtering model utilised for modelling the lateral inhibition of retinal ganglion cells and their responses to a range of Geometric We explore the response of a simple bioplausible model of Illusions using isotropic Differences of Gaussian filters. This low-level vision on Geometric/Tile Illusions, reproducing the study explores the way in which illusions have been explained misperception of their geometry, that we reported for the Café and shows how a simple standard model of vision based on Wall and some Tile Illusions [2, 5] and here will report on a classical receptive fields can predict the existence of these range of Geometric illusions. -
The Perception of Color from Motion
UC Irvine UC Irvine Previously Published Works Title The perception of color from motion. Permalink https://escholarship.org/uc/item/01g8j7f5 Journal Perception & psychophysics, 57(6) ISSN 0031-5117 Authors Cicerone, CM Hoffman, DD Gowdy, PD et al. Publication Date 1995-08-01 DOI 10.3758/bf03206792 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Perception & Psychophysics /995,57(6),76/-777 The perception of color from motion CAROLM. CICERONE, DONALD D. HOFFMAN, PETER D, GOWDY, and JIN S. KIM University ofCalifornia, Irvine, California Weintroduce and explore a color phenomenon which requires the priorperception of motion to pro duce a spread of color over a region defined by motion. Wecall this motion-induced spread of colordy namic color spreading. The perception of dynamic color spreading is yoked to the perception of ap parentmotion: As the ratings of perceived motion increase, the ratings of color spreading increase. The effect is most pronounced ifthe region defined by motion is near 10 of visual angle. As the luminance contrast between the region defined by motion and the surround changes, perceived saturation of color spreading changes while perceived hue remains roughly constant. Dynamic color spreading is some times, but not always, bounded by a subjective contour. Wediscuss these findings in terms of interac tions between color and motion pathways. Neon color spreading (see, e.g., van Tuijl, 1975; Varin, Mathematica (Version 2.03) program used for generating 1971) shows that the colors we perceive do not always such frames is given in Appendix A. -
Important Processes Illustrated September 22, 2021
Important Processes Illustrated September 22, 2021 Copyright © 2012-2021 John Franklin Moore. All rights reserved. Contents Introduction ................................................................................................................................... 5 Consciousness>Sense .................................................................................................................... 6 space and senses ....................................................................................................................... 6 Consciousness>Sense>Hearing>Music ..................................................................................... 18 tone in music ........................................................................................................................... 18 Consciousness>Sense>Touch>Physiology ................................................................................ 23 haptic touch ............................................................................................................................ 23 Consciousness>Sense>Vision>Physiology>Depth Perception ................................................ 25 distance ratio .......................................................................................................................... 25 Consciousness>Sense>Vision>Physiology>Depth Perception ................................................ 31 triangulation by eye .............................................................................................................. -
A Neural Model of the Scintillating Grid Illusion: Disinhibi- Tion and Self-Inhibition in Early Vision
LETTER Communicated by Sidney Lehky A Neural Model of the Scintillating Grid Illusion: Disinhibi- tion and Self-Inhibition in Early Vision Yingwei Yu Downloaded from http://direct.mit.edu/neco/article-pdf/18/3/521/816498/neco.2006.18.3.521.pdf by guest on 24 September 2021 [email protected] Yoonsuck Choe [email protected] Department of Computer Science, Texas A&M University, College Station, Texas 77843-3112, U.S.A A stationary display of white discs positioned on intersecting gray bars on a dark background gives rise to a striking scintillating effect—the scin- tillating grid illusion. The spatial and temporal properties of the illusion are well known, but a neuronal-level explanation of the mechanism has not been fully investigated. Motivated by the neurophysiology of the Limulus retina, we propose disinhibition and self-inhibition as possible neural mechanisms that may give rise to the illusion. In this letter, a spa- tiotemporal model of the early visual pathway is derived that explicitly accounts for these two mechanisms. The model successfully predicted the change of strength in the illusion under various stimulus conditions, indicating that low-level mechanisms may well explain the scintillating effect in the illusion. 1 Introduction The scintillating grid illusion consists of bright discs superimposed on in- tersections of orthogonal gray bars on a dark background (see Figure 1A; Schrauf, Lingelbach, & Wist, 1997). In this illusion, illusory dark spots are perceived as scintillating within the white discs. Several important prop- erties of the illusion have been discovered and reported inrecent years. (1) The discs that are closer to a fixation show less scintillation (Schrauf et al., 1997), which might be due to the fact that receptive fields in the periphery are larger than those in the fovea. -
Color Appearance Models Second Edition
Color Appearance Models Second Edition Mark D. Fairchild Munsell Color Science Laboratory Rochester Institute of Technology, USA Color Appearance Models Wiley–IS&T Series in Imaging Science and Technology Series Editor: Michael A. Kriss Formerly of the Eastman Kodak Research Laboratories and the University of Rochester The Reproduction of Colour (6th Edition) R. W. G. Hunt Color Appearance Models (2nd Edition) Mark D. Fairchild Published in Association with the Society for Imaging Science and Technology Color Appearance Models Second Edition Mark D. Fairchild Munsell Color Science Laboratory Rochester Institute of Technology, USA Copyright © 2005 John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England Telephone (+44) 1243 779777 This book was previously publisher by Pearson Education, Inc Email (for orders and customer service enquiries): [email protected] Visit our Home Page on www.wileyeurope.com or www.wiley.com All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except under the terms of the Copyright, Designs and Patents Act 1988 or under the terms of a licence issued by the Copyright Licensing Agency Ltd, 90 Tottenham Court Road, London W1T 4LP, UK, without the permission in writing of the Publisher. Requests to the Publisher should be addressed to the Permissions Department, John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England, or emailed to [email protected], or faxed to (+44) 1243 770571. This publication is designed to offer Authors the opportunity to publish accurate and authoritative information in regard to the subject matter covered. -
Subject Index
Subject Index Absence, 47, 79, 83, 87, 89, 131, 143, 204, Appearances, 8, 10, 11, 17, 19, 51, 96, 112, 227, 230, 232, 265, 267, 268, 271, 272, 279, 121, 123, 127, 128, 130, 159, 162, 180, 315, 317, 318, 320–325, 354, 373 184–192, 224, 242, 261, 288, 289, 292, Abstraction, 6, 172, 174, 176, 178, 187, 194, 322–325, 335, 350–352, 356, 357, 359, 361, 338, 354, 368, 369, 373, 375, 400, 402, 404, 365, 373, 406 412 Art, 17, 20, 31, 93, 131, 338, 399–404, 411– Accident, 128, 144, 145, 189, 204, 212, 213, 420 234, 360, 364 abstract art, 20, 401–405, 411, 412 Accommodation, 203, 211, 224–226 color, 402, 403–404 Action-perception synergies, 131, 132, 133 compositional techniques, 399–404 Activation zone, 375 constructivism, 396, 398, 406, 407, 412, Active vision, 131 418 Adaptive strategies, 85, 96, 97 generative art, 20, 411, 412, 414–418 Additive scanning, 364 history, 184, 393 Aesthetics, 2, 9, 16, 17, 85, 90, 91, 93, 97, 113, modulation, 83, 402–403 121, 413 Pop/Op, 31, 113, 124, 352 Affine distortion, 220, 223 Artificial intelligence, 1, 28, 31 Affordance, 14, 15, 186, 338, 356, 359 Artistic expression, 83, 85, 90, 91, 97 Afterimage, 112, 149, 150 Astigmatism, 112 Alphabet, 271, 347, 351, 367 Attention, 6, 51, 84, 96, 99, 100, 125, 174, Amodal, 47, 315, 336 190, 355, 356, 375, 376, 394, 396, 397 boundaries, 263, 266 Attneave points, 5, 125, 129 completion, 175, 261, 265, 270, 273, 315, Auditory objects, 340 318, 322–324, 328, 329, 374, 376 Auffälligkeit, 375 contours, 8, 15, 19, 263, 280 Automatic processes, 4, 32, 85, 96, 97, 100, perception, -
Arxiv:1907.09019V2 [Cs.CV] 5 Aug 2019
Preprint IMAGENET-TRAINED DEEP NEURAL NETWORK EX- HIBITS ILLUSION-LIKE RESPONSE TO THE SCINTILLAT- ING GRID Eric Sun Ron Dekel Department of Physics Department of Neurobiology Department of Chemistry and Chemical Biology Weizmann Institute of Science Harvard University Rehovot, PA 7610001, Israel Cambridge, MA 02138, USA [email protected] eric [email protected] ABSTRACT Deep neural network (DNN) models for computer vision are now capable of human-level object recognition. Consequently, similarities in the performance and vulnerabilities of DNN and human vision are of great interest. Here we charac- terize the response of the VGG-19 DNN to images of the Scintillating Grid visual illusion, in which white dots are perceived to be partially black. We observed a significant deviation from the expected monotonic relation between VGG-19 rep- resentational dissimilarity and dot whiteness in the Scintillating Grid. That is, a linear increase in dot whiteness leads to a non-linear increase and then, remark- ably, a decrease (non-monotonicity) in representational dissimilarity. In control images, mostly monotonic relations between representational dissimilarity and dot whiteness were observed. Furthermore, the dot whiteness level correspond- ing to the maximal representational dissimilarity (i.e. onset of non-monotonic dissimilarity) matched closely with that corresponding to the onset of illusion per- ception in human observers. As such, the non-monotonic response in the DNN is a potential model correlate for human illusion perception. 1 INTRODUCTION Deep neural network (DNN) models are capable of besting human champions in chess [18] and Go [20] and reaching superhuman levels of accuracy in image classification and object recognition tasks [3, 11, 5, 18]. -
Book XVII License and the Law Editor: Ramon F
8 88 8 8nd 8 8888on.com 8888 Basic Photography in 180 Days Book XVII License and the Law Editor: Ramon F. aeroramon.com Contents 1 Day 1 1 1.1 Photography and the law ....................................... 1 1.1.1 United Kingdom ....................................... 2 1.1.2 United States ......................................... 6 1.1.3 Hong Kong .......................................... 8 1.1.4 Hungary ............................................ 8 1.1.5 Macau ............................................. 8 1.1.6 South Africa ......................................... 8 1.1.7 Sudan and South Sudan .................................... 9 1.1.8 India .............................................. 10 1.1.9 Iceland ............................................ 10 1.1.10 Spain ............................................. 10 1.1.11 Mexico ............................................ 10 1.1.12 See also ............................................ 10 1.1.13 Notes ............................................. 10 1.1.14 References .......................................... 10 1.1.15 External links ......................................... 12 2 Day 2 13 2.1 Observation .............................................. 13 2.1.1 Observation in science .................................... 14 2.1.2 Observational paradoxes ................................... 14 2.1.3 Biases ............................................. 15 2.1.4 Observations in philosophy .................................. 16 2.1.5 See also ........................................... -
Use of the Hermann Grid Illusion in the Measurement of Contrast Perception in Dyslexia
CORE Metadata, citation and similar papers at core.ac.uk Provided by Elsevier - Publisher Connector Vision Research 45 (2005) 1–8 www.elsevier.com/locate/visres Rapid communications Use of the Hermann grid illusion in the measurement of contrast perception in dyslexia James M. Gilchrist a,*, Barbara K. Pierscionek b, William M. Mann a a Department of Optometry, University of Bradford, Richmond Road, Bradford, BD7 1DP West Yorkshire, UK b School of Biomedical Sciences, University of Ulster, Cromore Road, Coleraine, BT52 1SA Northern Ireland, UK Received 12 March 2004; received in revised form 28 July 2004 Abstract We measured contrast thresholds for perception of the Hermann grid illusion, using different contrast polarities and mean lumi- nances, in dyslexics and non-dyslexics. Both groups of subjects gave significantly lower thresholds with grids having dark squares and light paths, but there was no significant threshold difference between groups. Perceived strength of illusion was also measured in grids at suprathreshold contrast levels. Dyslexics perceived the illusion to be significantly stronger than non-dyslexics when the grid had light paths and low luminance. Ó 2004 Elsevier Ltd. All rights reserved. Keywords: Dyslexia; Contrast perception; Hermann grid; Magnocellular 1. Introduction (Livingstone, Rosen, Drislane, & Galaburda, 1991) and psychophysical studies which indicate that some Dyslexia has been defined as a specific reading diffi- dyslexics suffer reduced sensitivity to contrast, flicker culty, inexplicable by any deficit in intelligence, learning and/or motion (Cornelissen, Richardson, Mason, & opportunity, motivation or sensory acuity (Critchley, Stein, 1995; Demb, Boynton, Best, & Heeger, 1998; 1970). The signs of dyslexia are varied and include Everatt, Bradshaw, & Hibbard, 1999; Lovegrove, abnormal phonological awareness, difficulties with writ- 1991; Lovegrove, Bowling, Badcock, & Blackwood, ing, spelling, auditory discrimination and visual process- 1980). -
Optical Illusion - Wikipedia, the Free Encyclopedia
Optical illusion - Wikipedia, the free encyclopedia Try Beta Log in / create account article discussion edit this page history [Hide] Wikipedia is there when you need it — now it needs you. $0.6M USD $7.5M USD Donate Now navigation Optical illusion Main page From Wikipedia, the free encyclopedia Contents Featured content This article is about visual perception. See Optical Illusion (album) for Current events information about the Time Requiem album. Random article An optical illusion (also called a visual illusion) is characterized by search visually perceived images that differ from objective reality. The information gathered by the eye is processed in the brain to give a percept that does not tally with a physical measurement of the stimulus source. There are three main types: literal optical illusions that create images that are interaction different from the objects that make them, physiological ones that are the An optical illusion. The square A About Wikipedia effects on the eyes and brain of excessive stimulation of a specific type is exactly the same shade of grey Community portal (brightness, tilt, color, movement), and cognitive illusions where the eye as square B. See Same color Recent changes and brain make unconscious inferences. illusion Contact Wikipedia Donate to Wikipedia Contents [hide] Help 1 Physiological illusions toolbox 2 Cognitive illusions 3 Explanation of cognitive illusions What links here 3.1 Perceptual organization Related changes 3.2 Depth and motion perception Upload file Special pages 3.3 Color and brightness