Early Processing in Biological Vision

Slides:



Advertisements
Similar presentations
The Primary Visual Cortex
Advertisements

What do we know about Primary Visual Cortex (V1)
The Visual System: Feature Detection Model Lesson 17.
Visual Sensation & Perception How do we see?. Structure of the eye.
Chapter 3: Neural Processing and Perception. Lateral Inhibition and Perception Experiments with eye of Limulus –Ommatidia allow recordings from a single.
What is vision Aristotle - vision is knowing what is where by looking.
Visual Fields KW Fovea on Cortex KW 8-22 Occipital Lobes are Independent KW 8-24.
Chapter 6 The Visual System
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.
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.
Unrelated vs. Related Color Unrelated color: color perceived to belong to an area in isolation (CIE 17.4) Related color: color perceived to belong to.
Visual Sensation & Perception How do we see?. Structure of the eye.
Human Sensing: The eye and visual processing Physiology and Function Martin Jagersand.
The Human Visual System Vonikakis Vasilios, Antonios Gasteratos Democritus University of Thrace
The visual system Lecture 1: Structure of the eye
University Studies 15A: Consciousness I The Neurobiology of Vision.
1B50 – Percepts and Concepts Daniel J Hulme. Outline Cognitive Vision –Why do we want computers to see? –Why can’t computers see? –Introducing percepts.
Vision Biology/Psychology Some introductory thoughts Sensory world in general is basically a representation of the real world So, we have a rich.
Physiology of Vision: a swift overview Pixels to Percepts A. Efros, CMU, Spring 2011 Some figures from Steve Palmer.
The Visual System Dr. Kline FSU.
1 Computational Vision CSCI 363, Fall 2012 Lecture 3 Neurons Central Visual Pathways See Reading Assignment on "Assignments page"
Physiology of Vision: a swift overview : Learning-Based Methods in Vision A. Efros, CMU, Spring 2009 Some figures from Steve Palmer.
Physiology of Vision: a swift overview : Advanced Machine Perception A. Efros, CMU, Spring 2006 Some figures from Steve Palmer.
THE VISUAL SYSTEM: EYE TO CORTEX Outline 1. The Eyes a. Structure b. Accommodation c. Binocular Disparity 2. The Retina a. Structure b. Completion c. Cone.
Occipital Lobe Videos: –Brain modules 8,9,10, 11 –Consciousness- Blindsight.
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.
Vision Structure of the Eye We only use light energy to see.
The Visual System: Retinal Mechanisms
Vision Psychology Some introductory thoughts Sensory world in general is basically a representation of the real world Sensory world in general is.
Chapter 3: Neural Processing and Perception. Neural Processing and Perception Neural processing is the interaction of signals in many neurons.
CS332 Visual Processing Department of Computer Science Wellesley College Binocular Stereo Vision Region-based stereo matching algorithms Properties of.
1 Computational Vision CSCI 363, Fall 2012 Lecture 5 The Retina.
Human vision Jitendra Malik U.C. Berkeley. Visual Areas.
1 Perception and VR MONT 104S, Fall 2008 Lecture 4 Lightness, Brightness and Edges.
1 Perception and VR MONT 104S, Fall 2008 Lecture 2 The Eye.
Psychology 100:12 Chapter 5 Sensation & Perception Part III.
1 Computational Vision CSCI 363, Fall 2012 Lecture 6 Edge Detection.
Keith Clements Introduction to Neuroscience
Understanding Psychophysics: Spatial Frequency & Contrast
1 Perception and VR MONT 104S, Spring 2008 Lecture 3 Central Visual Pathways.
Processing visual information - pathways
Psychology 304: Brain and Behaviour Lecture 28
Vision.
Physiology of Vision: a swift overview
Visual Sensory System.
Cognitive Architectures
BY DR. MUDASSAR ALI ROOMI (MBBS, M. Phil.)
Anatomy of the Human Eye
Primary Visual Pathway
The Visual System: Retinal Mechanisms
VISION Module 18.
Visual Processing Processing in the Retina
Smoothing the intensities
Optic Nerve Projections
Binocular Stereo Vision
Physiology of Photoreceptors Vertebrate photoreceptors hyperpolarize and produce graded potentials Photoreceptors use glutamate as transmitter.
Perception: Structures
Spatial Vision (continued)
Binocular Stereo Vision
Orientation tuning: strongest response to one orientation
Aqueous Humour Vitreous Humour. Aqueous Humour Vitreous Humour.
Let’s Get Visual!.
Let’s Get Visual!.
Detecting image intensity changes
The Visual System: Feature Detection Model
Edge Detection in Computer Vision
Greg Schwartz, Sam Taylor, Clark Fisher, Rob Harris, Michael J. Berry 
Outline Announcements Human Visual Information Processing
Detection of image intensity changes
Edge Detection via Lateral Inhibition
Presentation transcript:

Early Processing in Biological Vision Analyzing intensity changes in the retinal image

Human eye Retina: rods & cones  retinal ganglion cells

Structure of a neuron  1011 neurons in the brain

Neural signals Firing rate = (number of spikes)/time Excitation: higher firing rate Inhibition: lower firing rate

Human eye Retina: rods & cones  retinal ganglion cells

Rods and cones in the retina fovea: • central 2◦ visual angle •  250 receptors across (Relative) absorption spectra for S (short), M (medium), & L (long) wavelength cones

Retinal ganglion cells receptive fields exhibit a center-surround structure, whose cross-section is the difference of two Gaussians

Processing within the retina

Analyzing intensity changes in a 2D image image after smoothing and second derivative image black = negative white = positive zero-crossings

Detecting intensity changes at multiple scales human vision: multiple receptive field sizes in the same region of the visual field receptive field sizes increase with eccentricity (distance from the center of the eye) small σ large σ zero-crossings of convolutions of image with 2G operators

Projection from the retina 1st cortical stage of visual processing: primary visual cortex (area V1)

Mapping cortical receptive fields David Hubel & Torston Wiesel 1981 Nobel Prize

Single-cell recording from visual cortex primary visual cortex Hubel & Wiesel identified 3 basic cell types: simple, complex, hypercomplex cells

Some simple cells respond best to lines… Light Line Detector Dark Line Detector Firing Rate Firing Rate Horizontal Position Horizontal Position … of a particular contrast sign, orientation, position

Some simple cells respond best to edges Dark-to-light Edge Detector Light-to-dark Edge Detector Firing Rate Firing Rate Horizontal Position Horizontal Position Again, of a particular contrast sign, orientation, position large receptive fields  coarse spatial structure small receptive fields  fine spatial structure

Tuning Curves in Primary Visual Cortex Single neuron: average firing rate (Hz) Many neurons: orientation (deg) orientation angle in degrees -180 180 60 rate (Hz)

Detection of intensity edges + + + Simple cells appear to detect edges and lines + + + Many complex cells are also selective for stereo disparity and motion 17