Reading. 1. Visual perception. Outline. Forming an image. Optional: Glassner, Principles of Digital Image Synthesis, sections

Similar documents
Further reading. 1. Visual perception. Restricting the light. Forming an image. Angel, section 1.4

Visual Perception. Readings and References. Forming an image. Pinhole camera. Readings. Other References. CSE 457, Autumn 2004 Computer Graphics

Reading. Lenses, cont d. Lenses. Vision and color. d d f. Good resources: Glassner, Principles of Digital Image Synthesis, pp

Vision and Color. Reading. Optics, cont d. Lenses. d d f. Brian Curless CSE 557 Autumn Good resources:

Vision and Color. Brian Curless CSE 557 Autumn 2015

Vision and Color. Reading. Optics, cont d. Lenses. d d f. Brian Curless CSEP 557 Fall Good resources:

Vision and Color. Brian Curless CSEP 557 Fall 2016

Vision and Color. Reading. The lensmaker s formula. Lenses. Brian Curless CSEP 557 Autumn Good resources:

19. Vision and color

Vision and color. University of Texas at Austin CS384G - Computer Graphics Fall 2010 Don Fussell

CGT 511 Perception. Facts. Facts. Facts. When perceiving visual information

The Special Senses: Vision

CS 428: Fall Introduction to. Image formation Color and perception. Andrew Nealen, Rutgers, /8/2010 1

Reading. Foley, Computer graphics, Chapter 13. Optional. Color. Brian Wandell. Foundations of Vision. Sinauer Associates, Sunderland, MA 1995.

Early Visual Processing: Receptive Fields & Retinal Processing (Chapter 2, part 2)

Vision. The eye. Image formation. Eye defects & corrective lenses. Visual acuity. Colour vision. Lecture 3.5

Capturing Light in man and machine

Getting light to imager. Capturing Images. Depth and Distance. Ideal Imaging. CS559 Lecture 2 Lights, Cameras, Eyes

Visual Perception of Images

Retina. Convergence. Early visual processing: retina & LGN. Visual Photoreptors: rods and cones. Visual Photoreptors: rods and cones.

Capturing Light in man and machine

Digital Image Processing

IFT3355: Infographie Couleur. Victor Ostromoukhov, Pierre Poulin Dép. I.R.O. Université de Montréal

Capturing Light in man and machine

CMPSCI 670: Computer Vision! Color. University of Massachusetts, Amherst September 15, 2014 Instructor: Subhransu Maji

Capturing Light in man and machine

Why is blue tinted backlight better?

The Human Brain and Senses: Memory

The Human Eye and a Camera 12.1

Capturing Light in man and machine. Some figures from Steve Seitz, Steve Palmer, Paul Debevec, and Gonzalez et al.

Lecture 2 Digital Image Fundamentals. Lin ZHANG, PhD School of Software Engineering Tongji University Fall 2016

Slide 4 Now we have the same components that we find in our eye. The analogy is made clear in this slide. Slide 5 Important structures in the eye

The best retinal location"

Frequencies and Color

Spatial Vision: Primary Visual Cortex (Chapter 3, part 1)

Digital Image Processing COSC 6380/4393

The Human Visual System. Lecture 1. The Human Visual System. The Human Eye. The Human Retina. cones. rods. horizontal. bipolar. amacrine.

Chapter Six Chapter Six

Mastery. Chapter Content. What is light? CHAPTER 11 LESSON 1 C A

Refraction of Light. Refraction of Light

Seeing and Perception. External features of the Eye

Visual Effects of Light. Prof. Grega Bizjak, PhD Laboratory of Lighting and Photometry Faculty of Electrical Engineering University of Ljubljana

10/8/ dpt. n 21 = n n' r D = The electromagnetic spectrum. A few words about light. BÓDIS Emőke 02 October Optical Imaging in the Eye

Light. Path of Light. Looking at things. Depth and Distance. Getting light to imager. CS559 Lecture 2 Lights, Cameras, Eyes

Visual System I Eye and Retina

Science 8 Unit 2 Pack:

Topic 4: Lenses and Vision. Lens a curved transparent material through which light passes (transmit) Ex) glass, plastic

Lecture 8. Human Information Processing (1) CENG 412-Human Factors in Engineering May

Image Formation and Capture

STUDY NOTES UNIT I IMAGE PERCEPTION AND SAMPLING. Elements of Digital Image Processing Systems. Elements of Visual Perception structure of human eye

Visual Optics. Visual Optics - Introduction

Optics Review (Chapters 11, 12, 13)

Lecture 26. PHY 112: Light, Color and Vision. Finalities. Final: Thursday May 19, 2:15 to 4:45 pm. Prof. Clark McGrew Physics D 134

AP PSYCH Unit 4.2 Vision 1. How does the eye transform light energy into neural messages? 2. How does the brain process visual information? 3.

III: Vision. Objectives:

Eye. Eye Major structural layer of the wall of the eye is a thick layer of dense C.T.; that layer has two parts:

Digital Image Processing COSC 6380/4393

Psych 333, Winter 2008, Instructor Boynton, Exam 1

Human Visual System. Prof. George Wolberg Dept. of Computer Science City College of New York

Introduction to Visual Perception & the EM Spectrum

Review. Introduction to Visual Perception & the EM Spectrum. Overview (1):

Visual Effects of. Light. Warmth. Light is life. Sun as a deity (god) If sun would turn off the life on earth would extinct

Physical Science Physics

Sensory receptors External internal stimulus change detectable energy transduce action potential different strengths different frequencies

Capturing Light in man and machine

Vision. Biological vision and image processing

The eye & corrective lenses

Chapter 2: The Beginnings of Perception

Capturing light and color

DIGITAL IMAGE PROCESSING LECTURE # 4 DIGITAL IMAGE FUNDAMENTALS-I

Digital Image Processing

Color Perception. Color, What is It Good For? G Perception October 5, 2009 Maloney. perceptual organization. perceptual organization

Work environment. Retina anatomy. A human eyeball is like a simple camera! The way of vision signal. Directional sensitivity. Lighting.

Vision. PSYCHOLOGY (8th Edition, in Modules) David Myers. Module 13. Vision. Vision

Chapter 20 Human Vision

Color. Bilkent University. CS554 Computer Vision Pinar Duygulu

Today. Color. Color and light. Color and light. Electromagnetic spectrum 2/7/2011. CS376 Lecture 6: Color 1. What is color?

PHGY Physiology. The Process of Vision. SENSORY PHYSIOLOGY Vision. Martin Paré. Visible Light. Ocular Anatomy. Ocular Anatomy.

SCIENCE 8 WORKBOOK Chapter 6 Human Vision Ms. Jamieson 2018 This workbook belongs to:

Oversubscription. Sorry, not fixed yet. We ll let you know as soon as we can.

PHGY Physiology. SENSORY PHYSIOLOGY Vision. Martin Paré

Digital Image Processing

Vision 1. Physical Properties of Light. Overview of Topics. Light, Optics, & The Eye Chaudhuri, Chapter 8

The Human Eye Looking at your own eye with an Eye Scope

Life Science Chapter 2 Study Guide

CSE 527: Introduction to Computer Vision

Optical Perspective of Polycarbonate Material

Color and perception Christian Miller CS Fall 2011

11/23/11. A few words about light nm The electromagnetic spectrum. BÓDIS Emőke 22 November Schematic structure of the eye

Work environment. Vision. Human Millieu system. Retina anatomy. A human eyeball is like a simple camera! Lighting. Eye anatomy. Cones colours

Biology 70 Slides for Lecture 1 Fall 2007

2 The First Steps in Vision

Sensation. Our sensory and perceptual processes work together to help us sort out complext processes

Visibility, Performance and Perception. Cooper Lighting

SCIENCE 8 WORKBOOK Chapter 6 Human Vision Ms. Jamieson 2018 This workbook belongs to:

LIGHT AND LIGHTING FUNDAMENTALS. Prepared by Engr. John Paul Timola

EYE STRUCTURE AND FUNCTION

Instructional Resources/Materials: Light vocabulary cards printed (class set) Enough for each student (See card sort below)

Photography (cont d)

EYE. The eye is an extension of the brain

Transcription:

Reading Optional: Glassner, Principles of Digital mage Synthesis, sections 1.1-1.6. 1. Visual perception Brian Wandell. Foundations of Vision. Sinauer Associates, Sunderland, MA, 1995. Research papers: Spencer, Shirley, Zimmerman, and Greenberg. Physically-based glare effects for digital images. SGGRAPH 95. Ferwerda, Pattanik, Shirley, and Greenberg. A model of visual adaptation for realistic image synthesis. SGGRAPH 96. Outline 1. mage formation 2. Structure of the eye 3. Photoreptors Forming an image First, we need some sort of sensor to receive and record light. s this all we need? 4. Visual phenomena object film Do we get a useful image?

Restricting the light Collecting the light To get rid of the blurriness, we could use a barrier to select out some of the light rays and block the rest. This is called a pinhole camera. object barrier film nstead of throwing away all but a single ray, let s try to collect a bunch of rays and concentrate them at a single point on the sensor. To do this, we need to be able to change the path of a light ray. Fortunately, we have refraction. Light passing from one medium into a denser one will bend towards the normal of the interface. air glass Advantages: easy to simulate everything is in focus Disadvantages: light ray air needs a bright scene (or long exposure) everything is in focus glass Stacking prisms Forming an image with a lens We can use variously shaped prisms to take light rays of various angles and bend them to pass through a single point. We can now replace the pinhole barrier with a lens, and we still get an image. object lens film Now there is a specific distance at which objects are in focus. By changing the shape of the lens, we change how it bends the light. As we use more and more prisms, the shape approaches a curve, and we get a lens.

Optics To quantify lens properties, we ll need some terms from optics (the study of sight and the behavior of light): Focal point - the point where parallel rays converge when passing through a lens. Focal length - the distance from the lens to the focal point. Diopter - the reciprocal of the focal length, measured in meters. Example: A lens with a power of 10D has a focal length of. Optics, cont d By tracing rays through a lens, we can generally tell where an object point will be focused to an image point: This construction leads to the Gaussian lens formula: 1 1 1 + = d d f o i focal point Q: Given these three parameters, how does the human eye keep the world in focus? focal length Structure of the eye Structure of the eye, cont. Physiology of the human eye (Glassner, 1.1) Physiology of the human eye (Glassner, 1.1) The most important structural elements of the eye are: Cornea - a clear coating over the front of the eye: Protects eye against physical damage. Provides initial focusing (40D). ris - Colored annulus with radial muscles. Pupil - The hole whose size is controlled by the iris. Crystalline lens - controls the focal distance: Power ranges from 10 to 30D in a child. Power and range reduces with age. Ciliary body - The muscles that compress the sides of the lens, controlling its power. Q: As an object moves closer, do the ciliary muscles contract or relax to keep the object in focus?

Retina The human retina Density of photoreceptors on the retina (Glassner, 1.4) w Retina - a layer of photosensitive cells covering 200 on the back of the eye. Cones - responsible for color perception. Rods - Limited to intensity (but 10x more sensitive). w Fovea - Small region (1 or 2 ) at the center of the visual axis containing the highest density of cones (and no rods). The human retina, cont d Photomicrographs at incresasing distances from the fovea. The large cells are cones; the small ones are rods. (Glassner, 1.5 and Wandell, 3.4). Photomicrographs at increasing distances from the fovea. The large cells are cones; the small ones are rods. Neuronal connections Even though the retina is very densely covered with photoreceptors, we have much more acuity in the fovea than in the periphery. light rods Photomicrograph of a cross-section of the retina near the fovea (Wandell, 5.1). + + to brain Light gathering by rods and cones (Wandell, 3.2) cones + - - + to brain n the periphery, the outputs of the photoreceptors are averaged together before being sent to the brain, decreasing the spatial resolution. As many as 1000 rods may converge to a single neuron.

Demonstrations of visual acuity The radiant energy spectrum We can think of light as waves, instead of rays. Wave theory allows a nice arrangement of electromagnetic radiation (EMR) according to wavelength: With one eye shut, at the right distance, all of these letters should appear equally legible (Glassner, 1.7). Blind spot demonstration (Glassner, 1.8) Emission spectra A light source can be characterized by an emission spectrum: Photopigments Photopigments are the chemicals in the rods and cones that react to light. Can respond to a single photon! Rods contain rhodopsin, which has peak sensitivity at about 500nm. Emission spectra for daylight and a tungsten lightbulb (Wandell, 4.4) The spectrum describes the energy at each wavelength. Rod sensitivity (Wandell,4.6) Rods are active under low light levels,.e., they are responsible for scotopic vision.

Photopigments, cont d Univariance Cones come in three varieties: L, M, and S. Principle of univariance: For any single photoreceptor, no information is transmitted describing the wavelength of the photon. Measuring cone photocurrent (Wandell, 4.15) Cone photopigment absorption (Glassner, 1.1) Cones are active under high light levels,.e., they are responsible for photopic vision. Photocurrents measured for two light stimuli: 550nm (solid) and 659 nm (gray). The brightnesses of the stimuli are different, but the shape of the response is the same. (Wandell 4.17) Flicker The photoreceptive cells provide a time-averaged response: more photons more response Above a critical flicker frequency (CFF), flashes of light will fuse into a single image. CFF for humans is about 60 Hz. (For a bee it s about 300 Hz.) Q: Do all parts of the visual field have the same CFF? Perceptual light intensity The human eye is highly adaptive to allow us a wide range of flexibility. One consequence is that we perceive light intensity as we do sound,.e., on a relative or logarithmic scale. Example: The perceived difference between 0.20 and 0.22 is the same as between 0.80 and. deally, to display n+1 equally-spaced intensity levels 1 0 = 2 1 = = n n 1 Example: Suppose 0 =1/8 and n = 3. What are the four intensity levels to be displayed?

Adaptation Adaptive processes can adjust the base activity ( bias ) and scale the response ( gain ). Through adaptation, the eye can handle a large range of illumination: Lightness contrast and constancy The apparent brightness of a region depends largely on the surrounding region. The lightness contrast phenomenon makes a constant colored region seem lighter or darker depending on the surround: Background Luminance (cd/m 2 ) Moonless overcast night 0.00003 Moonless clear night 0.03 Twilight 3 Overcast day 300 Day with sunlit clouds 30,000 The lightness constancy phenomenon makes a surface look the same under widely varying lighting conditions. Mach bands Mach bands were first dicussed by Ernst Mach, and Austrian physicist. Mach bands, cont. Possible cause: lateral inhibition of nearby cells. Appear when there are rapid variations in intensity, especially at C 0 intensity discontinuities: And at C 1 intensity discontinuities: Lateral inhibition effect (Glassner, 1.25) Q: Why is this summation pattern useful?

Noise Summary Here s what you should take home from this lecture: All the boldfaced terms. How a camera forms an image. The basic structures of the eye and how they work. How light intensity is perceived on a logarithmic scale and is a function of wavelength. The phenomena of adaptation and lightness contrast. The eye s relative sensitivity to intensity discontinuities, but insensitivity to noise. Noise can be thought of as randomness added to the signal. The eye is relatively insensitive to noise.