Evolution, Development and Function of Vertebrate Cone Oil Droplets
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Do Hummingbirds See in Ultraviolet?
The Open Medical Informatics Journal, 2009, 3, 9-12 9 Open Access Do Hummingbirds See in Ultraviolet? M. Curé*,1 and A.G. Palacios2 1Departamento de Física y Astronomía, Facultad de Ciencias, Universidad de Valparaíso, Chile 2Centro de Neurociencia de Valparaíso, Facultad de Ciencias, Universidad de Valparaíso, Chile Abstract: We present a numerical model to fit the electroretinogram (ERG), a gross evoked eye visual potential, that originate in the retina through photons absorption by photoreceptors and then involve the contribution form others retinal neurons. We use the ERG measured in a hummingbird, to evaluate the most likely retinal mechanism - cones visual pig- ments and oil-droplets - that participate in their high dimensional tetra or pentachromatic color hyperspace. The model - a nonlinear fit - appears to be a very useful tool to predict the underlying contribution visual mechanism for a variety of retinal preparation. Keywords: Color vision, electroretinogram, non lineal model. 1. INTRODUCTION high concentrations. Double cones have L visual pigments and are screened by a variety of galloxanthin and -carotene A critical question in visual sciences is to determinate the types of photoreceptors that contribute - for a particular eye - mixtures [2, 8, 10-12]. The final cone mechanism sensitivity to the overall retinal spectral sensitivity. We have developed a is then determined by combining the cone visual pigment mathematical model that helps to answer this question. As a absorption and oil-droplet transmittance. In many birds, case study, we have used the electroretinogram results of a ultraviolet (UV) is a color that is believed to be involved in diurnal bird, the Firecrown hummingbirds. -
Rethinking Color Cameras
Rethinking Color Cameras Ayan Chakrabarti William T. Freeman Todd Zickler Harvard University Massachusetts Institute of Technology Harvard University Cambridge, MA Cambridge, MA Cambridge, MA [email protected] [email protected] [email protected] Abstract Digital color cameras make sub-sampled measurements of color at alternating pixel locations, and then “demo- saick” these measurements to create full color images by up-sampling. This allows traditional cameras with re- stricted processing hardware to produce color images from a single shot, but it requires blocking a majority of the in- cident light and is prone to aliasing artifacts. In this paper, we introduce a computational approach to color photogra- phy, where the sampling pattern and reconstruction process are co-designed to enhance sharpness and photographic speed. The pattern is made predominantly panchromatic, thus avoiding excessive loss of light and aliasing of high spatial-frequency intensity variations. Color is sampled at a very sparse set of locations and then propagated through- out the image with guidance from the un-aliased luminance channel. Experimental results show that this approach often leads to significant reductions in noise and aliasing arti- facts, especially in low-light conditions. Figure 1. A computational color camera. Top: Most digital color cameras use the Bayer pattern (or something like it) to sub-sample 1. Introduction color alternatingly; and then they demosaick these samples to create full-color images by up-sampling. Bottom: We propose The standard practice for one-shot digital color photog- an alternative that samples color very sparsely and is otherwise raphy is to include a color filter array in front of the sensor panchromatic. -
Spatial Filtering, Color Constancy, and the Color-Changing Dress Department of Psychology, American University, Erica L
Journal of Vision (2017) 17(3):7, 1–20 1 Spatial filtering, color constancy, and the color-changing dress Department of Psychology, American University, Erica L. Dixon Washington, DC, USA Department of Psychology and Department of Computer Arthur G. Shapiro Science, American University, Washington, DC, USA The color-changing dress is a 2015 Internet phenomenon divide among responders (as well as disagreement from in which the colors in a picture of a dress are reported as widely followed celebrity commentators) fueled a rapid blue-black by some observers and white-gold by others. spread of the photo across many online news outlets, The standard explanation is that observers make and the topic trended worldwide on Twitter under the different inferences about the lighting (is the dress in hashtag #theDress. The huge debate on the Internet shadow or bright yellow light?); based on these also sparked debate in the vision science community inferences, observers make a best guess about the about the implications of the stimulus with regard to reflectance of the dress. The assumption underlying this individual differences in color perception, which in turn explanation is that reflectance is the key to color led to a special issue of the Journal of Vision, for which constancy because reflectance alone remains invariant this article is written. under changes in lighting conditions. Here, we The predominant explanations in both scientific demonstrate an alternative type of invariance across journals (Gegenfurtner, Bloj, & Toscani, 2015; Lafer- illumination conditions: An object that appears to vary in Sousa, Hermann, & Conway, 2015; Winkler, Spill- color under blue, white, or yellow illumination does not change color in the high spatial frequency region. -
Color Constancy and Contextual Effects on Color Appearance
Chapter 6 Color Constancy and Contextual Effects on Color Appearance Maria Olkkonen and Vebjørn Ekroll Abstract Color is a useful cue to object properties such as object identity and state (e.g., edibility), and color information supports important communicative functions. Although the perceived color of objects is related to their physical surface properties, this relationship is not straightforward. The ambiguity in perceived color arises because the light entering the eyes contains information about both surface reflectance and prevailing illumination. The challenge of color constancy is to estimate surface reflectance from this mixed signal. In addition to illumination, the spatial context of an object may also affect its color appearance. In this chapter, we discuss how viewing context affects color percepts. We highlight some important results from previous research, and move on to discuss what could help us make further progress in the field. Some promising avenues for future research include using individual differences to help in theory development, and integrating more naturalistic scenes and tasks along with model comparison into color constancy and color appearance research. Keywords Color perception • Color constancy • Color appearance • Context • Psychophysics • Individual differences 6.1 Introduction Color is a useful cue to object properties such as object identity and state (e.g., edibility), and color information supports important communicative functions [1]. Although the perceived color of objects is related to their physical surface properties, M. Olkkonen, M.A. (Psych), Dr. rer. nat. (*) Department of Psychology, Science Laboratories, Durham University, South Road, Durham DH1 3LE, UK Institute of Behavioural Sciences, University of Helsinki, Siltavuorenpenger 1A, 00014 Helsinki, Finland e-mail: [email protected]; maria.olkkonen@helsinki.fi V. -
Wild Hummingbirds Discriminate Nonspectral Colors
Wild hummingbirds discriminate nonspectral colors Mary Caswell Stoddarda,b,1, Harold N. Eysterb,c,2, Benedict G. Hogana,b,2, Dylan H. Morrisa, Edward R. Soucyd, and David W. Inouyeb,e aDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544; bRocky Mountain Biological Laboratory, Crested Butte, CO 81224; cInstitute for Resources, Environment and Sustainability, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; dCenter for Brain Science, Harvard University, Cambridge, MA 02138; and eDepartment of Biology, University of Maryland, College Park, MD 20742 Edited by Scott V. Edwards, Harvard University, Cambridge, MA, and approved April 28, 2020 (received for review November 5, 2019) Many animals have the potential to discriminate nonspectral UV- or violet-sensitive (UVS/VS), short-wave–sensitive (SWS), colors. For humans, purple is the clearest example of a nonspectral medium-wave–sensitive (MWS), and long-wave–sensitive (LWS) color. It is perceived when two color cone types in the retina (blue color cones. Indirect evidence for avian tetrachromacy comes and red) with nonadjacent spectral sensitivity curves are pre- from the general agreement of behavioral data with a model that dominantly stimulated. Purple is considered nonspectral because predicts discrimination thresholds from opponent signals stem- no monochromatic light (such as from a rainbow) can evoke this ming from four single color cone types (8, 9). More directly, simultaneous stimulation. Except in primates and bees, few color-matching experiments (10) and tests designed to stimulate behavioral experiments have directly examined nonspectral color discrimination, and little is known about nonspectral color per- specific photoreceptors (11, 12) have suggested that avian color ception in animals with more than three types of color photore- vision results from at least three different opponent mechanisms ceptors. -
Fast Fourier Color Constancy
Fast Fourier Color Constancy Jonathan T. Barron Yun-Ta Tsai [email protected] [email protected] Abstract based techniques in computer vision, both problems reduce to just estimating the “best” illuminant from an image, and We present Fast Fourier Color Constancy (FFCC), a the question of whether that illuminant is objectively true color constancy algorithm which solves illuminant esti- or subjectively attractive is just a matter of the data used mation by reducing it to a spatial localization task on a during training. torus. By operating in the frequency domain, FFCC pro- Despite their accuracy, modern learning-based color duces lower error rates than the previous state-of-the-art by constancy algorithms are not immediately suitable as prac- 13 − 20% while being 250 − 3000× faster. This unconven- tical white balance algorithms, as practical white balance tional approach introduces challenges regarding aliasing, has several requirements besides accuracy: directional statistics, and preconditioning, which we ad- Speed - An algorithm running in a camera’s viewfinder dress. By producing a complete posterior distribution over must run at 30 FPS on mobile hardware. But a camera’s illuminants instead of a single illuminant estimate, FFCC compute budget is precious: demosaicing, face detection, enables better training techniques, an effective temporal auto exposure, etc, must also run simultaneously and in real smoothing technique, and richer methods for error analy- time. Spending more than a small fraction (say, 5 − 10%) sis. Our implementation of FFCC runs at ∼ 700 frames per of a camera’s compute budget on white balance is impracti- second on a mobile device, allowing it to be used as an ac- cal, suggesting that our speed requirement is closer to 1 − 5 curate, real-time, temporally-coherent automatic white bal- milliseconds per frame. -
The Diversity and Adaptive Evolution of Visual Photopigments in Reptiles Frontiers in Ecology and Evolution, 7: 352
http://www.diva-portal.org This is the published version of a paper published in Frontiers in Ecology and Evolution. Citation for the original published paper (version of record): Katti, C., Stacey-Solis, M., Anahí Coronel-Rojas, N., Davies, W I. (2019) The Diversity and Adaptive Evolution of Visual Photopigments in Reptiles Frontiers in Ecology and Evolution, 7: 352 https://doi.org/10.3389/fevo.2019.00352 Access to the published version may require subscription. N.B. When citing this work, cite the original published paper. Permanent link to this version: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-164181 REVIEW published: 19 September 2019 doi: 10.3389/fevo.2019.00352 The Diversity and Adaptive Evolution of Visual Photopigments in Reptiles Christiana Katti 1*, Micaela Stacey-Solis 1, Nicole Anahí Coronel-Rojas 1 and Wayne Iwan Lee Davies 2,3,4,5,6 1 Escuela de Ciencias Biológicas, Pontificia Universidad Católica del Ecuador, Quito, Ecuador, 2 Center for Molecular Medicine, Umeå University, Umeå, Sweden, 3 Oceans Graduate School, University of Western Australia, Crawley, WA, Australia, 4 Oceans Institute, University of Western Australia, Crawley, WA, Australia, 5 School of Biological Sciences, University of Western Australia, Perth, WA, Australia, 6 Center for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, WA, Australia Reptiles are a highly diverse class that consists of snakes, geckos, iguanid lizards, and chameleons among others. Given their unique phylogenetic position in relation to both birds and mammals, reptiles are interesting animal models with which to decipher the evolution of vertebrate photopigments (opsin protein plus a light-sensitive retinal chromophore) and their contribution to vision. -
38 Color Constancy
38 Color Constancy DAVID H. BRAINARD AND ANA RADONJIC Vision is useful because it informs us about the physical provide a self-contained introduction, to highlight environment. In the case of colm~ two distinct functions some more recent results, and to outline what we see are generally emphasized (e.g., Jacobs, 1981; Mollon, as important challenges for the field. We focus on key 1989). First, color helps to segment objects from each concepts and avoid much in the way of technical devel other and the background. A canonical task for this opment. Other recent treatments complement the one function is locating fruit in foliage (Regan et al., 2001; provided here and provide a level of technical detail Sumner & Mollon, 2000). Second, color provides infm' beyond that introduced in this chapter (Brainard, 2009; mation about object properties (e.g., fresh fish versus Brainard & Maloney, 2011; Foster, 2011; Gilchrist, 2006; old fish; figure 38.1). Using color for this second func Kingdom, 2008; Shevell & Kingdom, 2008; Smithson, tion is enabled to the extent that perceived object color 2005; Stockman & Brainard, 2010). correlates well with object reflectance properties. Achieving such correlation is a nontrivial requirement, MEASURING CONSTANCY however, because the spectrum of the light reflected from an object confounds variation in object surface The study of constancy requires methods for measuring reflectance with variation in the illumination (figure it. The classic approach to such measurement is to 38.2; Brainard, Wandell, & Chichilnisky, 1993; Hurl assess the extent to which the color appearance of bert, 1998; Maloney, 1999). In particular, the spectrum objects varies as they are viewed under different illumi of the reflected light is the wavelength-by-wavelength nations. -
Color Blindness Fovea
Color Theory • Chapter 3b Perceiving Color • Color Constancy • Chapter 3 Perceiving Color Theory Color (so far) • Lens • Iris • Rods • Cones x3 • Fovea • Optic Nerve • Iodopsin & Rhodopsin • Chapter 3 Color Theory Perceiving Color (today) • Tri-Chromatic theory of color vision • Color Afterimage • Opponent Theory of color vision • Color Constancy • Monet’s series • Color Blindness Fovea • A tiny (1mm) area on the retina is covered with a dense collection of cones. • This region is where we see color distinctions best. Seeing Color • Still no proven model of how color perception works. • Cones contain light-sensitive pigments called Iodopsin. • Iodopsin changes when light hits it -- it is photo- sensitive. Light is effectively converted/translated into a nerve impulse…a signal to the brain. Trichromatic Theory & Opponent Theory • 19th c. Trichromatic Theory first proposed the idea of three types of cones. • Current theory -- Opponent Theory -- is that there are three types of iodopsin -- one that senses (or “sees”) red light, one that sees green, and one blue-violet. Each is “blind” to its complement. • We then combine the information from all three to perceive color. • We have mostly red- and green- sensitive cones – few blue-sensitive ones. • Diagram of suspected “wiring” of cones to ganglion Cones to Color (nerve) cells. • Light primaries are “read” individually, then results are combined. Cones to Color • Diagram of suspected trichromatic “wiring” of cones to ganglion (nerve) cells. • Light primaries are “read” individually, then results are combined. • http://www.handprint.com/HP /WCL/color1.html Opponent Processing • “As the diagram shows, the opponent processing pits the responses from one type of cone against the others. -
Chapter 7: Perceiving Color
Chapter 7: Perceiving Color -The physical dimensions of color -The psychological dimensions of color appearance (hue, saturation, brightness) -The relationship between the psychological and physical dimensions of color (Trichromacy Color opponency) - Other influences on color perception (color constancy, top-down effects) Sir Isaac Newton Newton’s Prism Experiment (1704) White light is composed of multiple colors Light Monochromatic light : one wavelength (like a laser) Physical parameters for monochromatic light 1. Wavelength 2. Intensity Heterochromatic light : many wavelengths (normal light sources) For heterochromatic light The spectral composition gives the intensity at each wavelength Monochromatic light Heterochromatic light Spectral composition of two common (heterochromatic) illuminants The spectral components of light entering the eye is the product of the illuminant and the surface reflectance of objects. Reflectance of some common surfaces and pigments 350 400 450 500 550 600 650 700 750 800 Surface reflectance of some common objects 350 400 450 500 550 600 650 700 750 800 Spectral composition of light entering the eye after being reflected from a surface = Spectral composition of the Reflectance of the surface illuminant X Consider a ripe orange illuminated with a bright monochromatic blue (420 nm) light. What color will the banana appear to be? a. bright orange b. dark/dim orange Blue (monochromatic) c. black d. dark/dim blue Relative amount of light of amount Relative Wavelength Spectral composition of light entering the -
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. -
Visual Pigments and Oil Droplets from Six Classes of Photoreceptor in the Retinas of Birds J
CORE Metadata, citation and similar papers at core.ac.uk Provided by Elsevier - Publisher Connector Vision Res., Vol. 37, No. 16, pp. 2183-2194, 1997 Pergamon © 1997 Elsevier Science Ltd. All rights reserved PH: S0042-6989(97)00026-6 Printed in Great Britain 0042-6989/97 $17.00 + 0.00 Visual Pigments and Oil Droplets from Six Classes of Photoreceptor in the Retinas of Birds J. K. BOWMAKER,*:~ L. A. HEATH,~ S. E. WILKIE,-~ D. M. HUNT~" Received 8 August 1996; in revised form 2 December 1996 Microspectrophotometric examination of the retinal photoreceptors of the budgerigar (shell parakeet), Melopsittacus undulatus (Psittaciformes) and the zebra finch, Taeniopygia guttata (Passeriformes), demonstrate the presence of four, speetrally distinct classes of single cone that contain visual pigments absorbing maximally at about 565, 507, 430-445 and 360-380 nm. The three longer-wave cone classes contain coloured oil droplets acting as long pass filters with cut-offs at about 570, 500-520 and 445 nm, respectively, whereas the ultraviolet-sensitive cones contain a transparent droplet. The two species possess double cones in which both members contain the long- wave-sensitive visual pigment, but only the principal member contains an oil droplet, with cut-off at about 420 nm. A survey of the cones of the pigeon, Columba livia (Columbiformes), confirms the presence of the three longer-wave classes of single cone, but also reveals the presence of a fourth class containing a visual pigment with maximum absorbance at about 409 nm, combined with a transparent droplet. No evidence was found for a fifth, ultraviolet-sensitive receptor.