Computer Vision, Lecture 1
http://www.ugrad.cs.jhu.edu/~cs461

Outline for Today

What is Computer Vision?

Some Terms

Our Data Structure

What Information is in Images?

What Information is in Images?

Problems of Computer Vision: Modeling

Problems of Computer Vision: Modeling

Computer Vision vs. Graphics

Problems of Computer Vision: Feature Extraction

Slide 12

Slide 13

Computer Vision vs. Image Processing

Problems of Computer Vision: Segmentation and Grouping

Computer Vision vs. Human Vision

Illusions: What Do They Tell Us?

Illusions: What Do They Tell Us?

Illusions: What Do They Tell Us?

Illusions: What Do They Tell Us?

Illusions: What Do They Tell Us?

Illusions: What Do They Tell Us?

The Marr Paradigm

Problems of Computer Vision: Stereo Vision

Random Dot StereoGram

THE ORGANIZATION OF AN IMAGE SEQUENCE

THE MOTION FIELD

MOVING CAMERAS ARE LIKE STEREO

THE EPIPOLAR CONSTRAINT

An Example
(Courtesy Carlo Tomasi)

Problems of Computer Vision: Recognition

Problems of Computer Vision: Recognition

Applications of Computer Vision: Biometrics

Applications of Computer Vision: Medical Imaging

Applications of Computer Vision: Medical Imaging

Applications of Computer Vision: HCI

Applications of Computer Vision: Image Databases
(Courtesy D. Forsyth & J. Ponce)

Applications of Computer Vision: Data Acquisition
(Jitendra Malik, Berkeley)

Applications of Computer Vision: Motion Control

Applications of Computer Vision: Motion Control
(CMU)

Applications of Computer Vision: Motion Control

Course Information

Computer Vision, Lecture 2
http://www.ugrad.cs.jhu.edu/~cs461

A Modern Digital Camera

How Cameras Produce Images

What’s under the Hood

THE ORGANIZATION OF A 2D IMAGE

Digitization Effects

Storing Images

GIF IMAGE FORMAT

TIFF IMAGE FORMAT

A Modern Digital Camera (Firewire)

THE ORGANIZATION OF AN IMAGE SEQUENCE

BANDWIDTH REQUIREMENTS

Color

Slide 56

Region Tracking Video

Light Spectra

Sunlight

Slide 60

Slide 61

Color receptors

How Color Cameras Work

Slide 64

Standard Color System

Filtering Colors

METAMERISM

Slide 68

Slide 69

Homogeneous Region: Photometry

Homogeneous Color Region: Photometry

Slide 72

Slide 73

Slide 74

Slide 75

Slide 76

Slide 77