文档介绍：Computational Vision CSCI 363, Spring 2008 Lecture 1 Introduction to Vision Science Course webpage: /~croyden/vision
Reading Assignment
Read: Vision Science, Ch. -
Write: Brief answers (a few sentences) to questions 2, 3 and 7 below.
Due: Friday, Jan 18.
Questions to think about:
What is vision good for (for a anism)?
What kinds of evidence tell us that vision is a constructive process?
What causes visual illusions? Why are illusions important for studying vision? What do they tell us?
What is the Ambient Optic Array? Why is it important?
How does a pinhole camera relate to the eye?
What is perspective projection? How does it differ from orthographic projection?
In what sense is vision an inverse problem? Why does this make it hard?
What's the Big Deal?
Vision seems easy. It is effortless for us.
Building machine vision systems is hard. Machines still cannot see.
Understanding how the brain processes visual information is hard. We still understand only the most putations.
To understand why it is so difficult, we must examine the problem.
The properties of light
Light is emitted from one or more sources. These may be point sources or more distributed sources of light.
The light hits surfaces and interacts with them, with some being reflected, some absorbed and some transmitted.
The reflected light may bounce off multiple surfaces before reaching the eye.
Some of the light rays will eventually reach the eye and be focused on the retina.
We will diagram this in class.
The Eye as a Pinhole Camera
We can approximate the image formation performed by the lens of the eye as a pinhole camera.
Light rays from an object project through a single point (the center of projection) onto the retina (or image plane).
This is perspective projection.
We will diagram this in class.
Objects that are more distant form smaller images. We will work out the equation in class.
Ill-posed problems
It is not so hard pute a 2D image from a 3D