Lectures: Tuesday and Thursday 930--1100, ICCS 206
Instructor: Jim Little
Office hours:ICCS 117
The weekly reading group on computer vision: CVRG
You're welcome to attend these reading groups.
(3) Image Understanding I: Image Analysis - Image formation constraints and the processing of digital images in order to extract information about the world being imaged. Computational methods for image analysis. [3--0; 0--0].
We will study image formation constraints and techniques for analyzing digital images to determine information about the world being imaged. This course provides the basic tools for later research presented in CPSC 525. Understanding digital images requires a combination of physics, electronics, mathematics, and computational theory. During this course we develop the necessary tools for analysis of images and for understanding what is possible to determine from an image. We will cover topics from image formation (optics), image structures (geometry and computational theory), binocular stereo and motion (mathematics -- analysis and geometry), the relation of computational vision to human vision (psychology), and finally the computational techniques for analyzing images and recovering scene properties (signal processing and computer science).
My current intent is to follow as closely as possible, the early parts of the course text (see next). But that intention is changing daily. More certainty soon.
Additional texts used in the course (these are all on reserve in the Reading Room):
The grades for the course will depend on a mixture of a number of assignments, usually one per week, plus a written comprehensive final exam. The assignments will be a mixture of problem solution and Matlab programming problems.
But the course has been reorganized with a new textbook since then. However the focus and tenor of the course remain the same.
|gif file for image||GIF file for image|
|GIF file for image||GIF file for image||GIF file for image||GIF file for image||GIF file for image||GIF file for image|