Outline Of Today’s Discussion 1.Review of Wave Properties, and Fourier Analysis 2.The Contrast Sensitivity Function 3.Metamers 4.Selective Adaptation And.

Slides:



Advertisements
Similar presentations
Lines in Motion Lesson 4.3.
Advertisements

Chapter 3.3 Gabor Patches.
Chapter 5: Space and Form Form & Pattern Perception: Humans are second to none in processing visual form and pattern information. Our ability to see patterns.
Chapter 2.
Gabor Filter: A model of visual processing in primary visual cortex (V1) Presented by: CHEN Wei (Rosary) Supervisor: Dr. Richard So.
Chapter 6 Spatial Vision. The visual system recognizes objects from patterns of light and dark. We will focus on the mechanisms the visual system uses.
Fourier Transform A Fourier Transform is an integral transform that re-expresses a function in terms of different sine waves of varying amplitudes, wavelengths,
Psychology 4051 Spatial Vision.
Visual Acuity Adler’s Physiology of the Eye 11th Ed.
Quiz Find a positive and negative co-terminal angle with: co-terminal angle with: 2.Find a positive and negative co-terminal angle with: co-terminal.
Perception Chapter 3 Light is necessary but not sufficient for vision Ganzfeld: a visual field completely lacking in contour, or luminance changes. Prolonged.
Why is this hard to read. Unrelated vs. Related Color Unrelated color: color perceived to belong to an area in isolation (CIE 17.4) Related color: color.
TEKS 8.6 (A,B) & 8.7 (A,D) This slide is meant to be a title page for the whole presentation and not an actual slide. 8.6 (A) Generate similar shapes using.
Why is this hard to read. Unrelated vs. Related Color Unrelated color: color perceived to belong to an area in isolation (CIE 17.4) Related color: color.
The contrast sensitivity function 資工三 黃明進 資工三 李啟毓 資工三 邱彥霖
Discrimination-Shift Problems Background This type of task has been used to compare concept learning across species as well as across a broad range of.
1 Perception, Illusion and VR HNRS 299, Spring 2008 Lecture 9 Visual Development Thanks to website at University of Calgary:
Another viewpoint: V1 cells are spatial frequency filters
1 Color vision and representation S M L.
Sensation and Perception - shape.ppt © 2001 Dr. Laura Snodgrass, Ph.D.1 Shape, Pattern, Form What is needed for shape (pattern, form) ? Facts a theory.
Inquiry Unit.
1 Computational Vision CSCI 363, Fall 2012 Lecture 10 Spatial Frequency.
Wireless and Mobile Computing Transmission Fundamentals Lecture 2.
Lecture 2b Readings: Kandell Schwartz et al Ch 27 Wolfe et al Chs 3 and 4.
Chapter 5: Spatial Vision & Form Perception
Discrete Fourier Transform in 2D – Chapter 14. Discrete Fourier Transform – 1D Forward Inverse M is the length (number of discrete samples)
EFFECTS OF STIMULUS WIDTH AND LENGTH ON THE DETECTION THRESHOLDS FOR II-nd ORDER GRATINGS D. Mitov, Ts. Totev, K. Racheva, I. Hristov Institute of Neurobiology,
1 Computational Vision CSCI 363, Fall 2012 Lecture 24 Computing Motion.
Introduction to Computer Graphics
Chapter2 : SIGNALS 1st semester King Saud University
Descriptive Statistics. Outline of Today’s Discussion 1.Central Tendency 2.Dispersion 3.Graphs 4.Excel Practice: Computing the S.D. 5.SPSS: Existing Files.
Computational Vision CSCI 363, Fall 2012 Lecture 22 Motion III
Outline Of Today’s Discussion 1.Amplitude, Frequency & Phase.
Diffraction AP Physics B. Superposition..AKA….Interference One of the characteristics of a WAVE is the ability to undergo INTERFERENCE. There are TWO.
Outline Of Today’s Discussion 1.Some Disparities are Not Retinal: Pulfrich Effect 2.Random-Dot Stereograms 3.Binocular Rivalry 4.Motion Parallax.
1 Computational Vision CSCI 363, Fall 2012 Lecture 16 Stereopsis.
Some Background on Visual Neuroscience.
From cortical anisotropy to failures of 3-D shape constancy Qasim Zaidi Elias H. Cohen State University of New York College of Optometry.
Understanding Psychophysics: Spatial Frequency & Contrast
Outline Of Today’s Discussion 1.LGN Projections & Color Opponency 2.Primary Visual Cortex: Structure 3.Primary Visual Cortex: Individual Cells.
Chapter 9: Perceiving Color. Figure 9-1 p200 Figure 9-2 p201.
The Diminishing Rhinoceros & the Crescive Cow
Vision.
From: Motion processing with two eyes in three dimensions
Sinusoidal Waveform Phasor Method.
Spatial Vision (continued)
Responses to Spatial Contrast in the Mouse Suprachiasmatic Nuclei
Soumya Chatterjee, Edward M. Callaway  Neuron 
Orientation tuning: strongest response to one orientation
Andrea Benucci, Robert A. Frazor, Matteo Carandini  Neuron 
Neural Mechanisms for Drosophila Contrast Vision
Binocular Disparity and the Perception of Depth
Attentional Modulations Related to Spatial Gating but Not to Allocation of Limited Resources in Primate V1  Yuzhi Chen, Eyal Seidemann  Neuron  Volume.
Saccadic suppression precedes visual motion analysis
Fangtu T. Qiu, Rüdiger von der Heydt  Neuron 
Graphs of Sine and Cosine: Sinusoids
Prediction of Orientation Selectivity from Receptive Field Architecture in Simple Cells of Cat Visual Cortex  Ilan Lampl, Jeffrey S. Anderson, Deda C.
Volume 45, Issue 5, Pages (March 2005)
Suppression without Inhibition in Visual Cortex
The Normalization Model of Attention
Receptive Fields of Disparity-Tuned Simple Cells in Macaque V1
Short-Term Memory for Figure-Ground Organization in the Visual Cortex
Volume 24, Issue 8, Pages e6 (August 2018)
Stereoscopic Surface Perception
Higher-Order Figure Discrimination in Fly and Human Vision
Color Signals in Human Motion-Selective Cortex
Visual Perception: One World from Two Eyes
Valerio Mante, Vincent Bonin, Matteo Carandini  Neuron 
Maxwell H. Turner, Fred Rieke  Neuron 
Dynamics of Orientation Selectivity in the Primary Visual Cortex and the Importance of Cortical Inhibition  Robert Shapley, Michael Hawken, Dario L. Ringach 
Presentation transcript:

Outline Of Today’s Discussion 1.Review of Wave Properties, and Fourier Analysis 2.The Contrast Sensitivity Function 3.Metamers 4.Selective Adaptation And The Size Aftereffect

Part 1 Review of Wave Properties And Fourier Analysis

Part 1: Waves & Fourier Analysis 1.The cycles of waves can be described by four features, or “parameters”. 2.These are Frequency, Amplitude, Phase, and Orientation. 3.A helpful acronym is F.A.P.O.. 4.Let’s see examples of how each parameter…

These Differ In Frequency Low Spatial Frequency Fat Bars: Few Cycles Per Degree C.P.D. High Spatial Frequency Thin Bars: Many Cycles Per Degree C.P.D.

These Differ In Amplitude (or Contrast) Low Amplitude (Low Contrast) High Amplitude (High Contrast)

Zero Phase (“Start With Black”) 180 Degree Phase Shift (“Start With White”) These Differ In Phase (Relative Position)

These Differ In Orientation Vertical Orientation Horizontal Orientation

Part 1: Waves & Fourier Analysis This is a Square Wave Grating: The Luminance Changes Abruptly.

Sine Wave Grating Changes Slowly Square Wave Grating Changes Abruptly Part 1: Waves & Fourier Analysis

Sine Wave Grating Changes Slowly Square Wave Grating Changes Abruptly Part 1: Waves & Fourier Analysis This is Sinusoidally Modulated in Luminance.

0 100 Sine Wave in Luminance Space Left Right Luminance

Sine Wave in Wave Lengths Space Left Right Wave Length (nm) Green Yellow Red

A Red-Green Grating: Sinusoidally Modulated Wavelengths

Now, Back To Luminance Profiles… Space Domain First, Then The Frequency Domain. Part 1: Waves & Fourier Analysis

This is the profile in the “Space Domain” Space is on the X-Axis.

Bottom: profile in the “Frequency Domain” Frequency is on the X-Axis

Joseph (Jean Baptiste) Fourier

According to Fourier, we should be able to construct a square wave stimulus (or any other stimulus), by combining sine waves of the correct F.A.P.O.. Part 1: Waves & Fourier Analysis

These Added Together Make This

These Added Together Make This

Eventually, You’ll Make This

A square wave can be built from component sine waves, if the sine waves all have the same phase. What happens if you introduce a phase shift (say 180 degrees or a half cycle)? Part 1: Waves & Fourier Analysis

These Added Together Make This

These Added Together Make This

Eventually, You’ll Make This

Let’s take a very close look at the square wave and triangle wave, side-by-side…. Part 1: Waves & Fourier Analysis

Square Wave Triangle Wave Note the slight differences in starting phase (in red circles) The phase difference should be 180 deg, but the schematic shows a 90 deg difference (quarter cycle rather than a half cycle). Sorry about That.

By shifting the components 180 degrees, a different image is produced, namely, a triangle wave (not a square wave). So, Phase Matters! Part 1: Waves & Fourier Analysis

1.Different spatial frequencies specify how light is distributed at various spatial scales. 2.Low spatial frequencies specify the most global spatial scales (i.e., ground versus sky). “Low pass” images appear blury, and lack fine detail. 3.High spatial frequencies specify the finest spatial scales. “High pass” images appear as outlines, showing the boarders between objects. 4.Intermediate spatial frequencies specify information at scales between the two extremes.

Part 1: Waves & Fourier Analysis

Some More Examples Potential Pop Quiz Question: In your own words Explain what is happening in the diagram below.

It is a FACT that any image can be decomposed into its “Fourier Components” But is it true that our visual systems conduct a Fourier Analysis on the retinal image? Part 1: Waves & Fourier Analysis

Here’s The RF Of A Visual Neuron

RFs Vary In Size, And Size Corresponds To Spatial Frequency.

Visual neurons respond best when the size (SF) of the stimulus matches the size (SF) of the receptive field. Stimulus “b” is the best match here.

V1 Is Organized By Spatial Frequency

Part 1: Waves & Fourier Analysis 1.In principle, the visual system could respond in two ways to the retinal image. 2.One possibility is that the visual system responds to the Fourier components (i.e., a spatial-frequency analysis). 3.Another possibility is that the visual system responds to the point-by-point distribution of light. 4.Either way is a an acceptable PHYSICAL description of the stimulus. Let’s see an example of a point-by-point stimulus description….

Point-By-Point Luminance Values

Sample Test Question Write the point-by-point luminance profile for these stimuli.

Sample Test Question Potential Pop Quiz Question: Write the point-by-point luminance profile for these stimuli.

Sample Test Question Potential Pop Quiz Question: Write the point-by-point luminance profile for these stimuli.

Sample Test Question Potential Pop Quiz Question: Write the point-by-point luminance profile for these stimuli.

This Photo of Einstein Contained 65,500 Luminance Values, Point-By-Point.

The Same Photo Can Be Readily Identified With Many Fewer Fourier (sine wave) Components. A Fourier Analysis Would Be Neurally Economical.

Part 2 The Contrast Sensitivity Function C.S.F.

Part 2: The CSF The contrast sensitivity function can be thought of as a graph that indicates how easily different SFs are seen.

The Human Contrast Sensitivity Function

Human CSF: Day, Dusk, and Night

The CSF For Different Species

The Human CSF: Infant (3 to 6 months) versus Adult

Potential Pop Quiz Question: Draw Two CSFs, one for the “1 month” condition below, and One for the “8 months” condition below. Label your axes. (No need for exact Quantities, I’m just looking for the pattern.)

The Effect of Aging on the Adult Human CSF

Part 3 Metamers

Part 3: Metamers Metamers are physically different stimuli that are perceptually indistinguishable.

Part 3: Metamers Metamers reveal a failure in discrimination!

Part 3: Metamers Because the human CSF differs from the cat CSF, stimuli that are “metameric” for cats are not metameric for humans (and vice versa).

Part 3: Metamers As an example, the following photos look different to you, but would appear indistinguishable to a cat.

Part 3: Metamers Demo Here

Part 3: Metamers Now, let’s change the spatial frequency content. Specifically, let’s increase the SF of both stimuli until the difference between them falls outside our “window of visibility”, making them metameric.

These Differ In Frequency Low Spatial Frequency Fat Bars: Few Cycles Per Degree C.P.D. High Spatial Frequency Thin Bars: Many Cycles Per Degree C.P.D.

Essentially, we just “moved” the Cat stimuli from left to right in the frequency domain, making differences invisible at the highest frequencies.

Part 3: Metamers The artist Charles (Chuck) Close takes advantage of the human CSF in his art. His art looks one way at one scale (SF), and very different at a another scale (SF).

Demo Here

Part 4 Selective Adaptation And The Size Aftereffect

Selective Adaptation: After adapting to a single SF, contrast sensitivity is reduced at or near that SF, but NOT elsewhere. This creates a “notch” in the CSF.

Selective Adaptation and the CSF

The Size Aftereffect: The size aftereffect is conceptually similar to the tilt aftereffect. There is an illusion of size (rather than orientation) after adaptation to a single spatial frequency.

The Size Aftereffect: Pre-Adaptation

The Size Aftereffect: Now, have the subject adapt to a (low) spatial frequency at or near “A”.

The Size Aftereffect: Post-Adaptation

The Size Aftereffect: Before & After Adaptation Note the higher frequency

The Size Aftereffect: Like the tilt aftereffect (an illusion of orientation), the size aftereffect arises from and adaptation-induced bias in the POPULATION’S response.

So, you can “fatigue” an orientation column, or a spatial frequency column!