Computer Vision Course in Spr '11
CIS is offering a special topics course on computer vision during Spring 2011. The course was developed and is being taught by Dr. Yixin Chen.
The goal of this course is to introduce the fundamentals of computer vision. This includes the image formation, noise attenuation, feature extraction, camera geometry and calibration, stereopsis, motion, segmentation, classification and recognition. For undergraduate students, the expectation is to understand the algorithmic aspect of the computer vision techniques. Graduate students are expected to understand the mathematical aspects of the methods in addition timplementation of each algorithm.
Details of the Spring 2011 offering are below.
CSCI 581-1: Special Topics -- Computer Vision
Spring 2011, TTh 1:00-2:15, Weir 235
Instructor: Dr. Yixin Chen
Weir 207, 915-7438 (Office)
Textbook: E. Trucco and A. Verri, Introductory Techniques for 3-D Computer Vision, Prentice Hall, Upper Saddle River, New Jersey, 1998.
Prerequisite: Knowledge of calculus of several variables, algebra, and the ability to program.
Outcomes: After completing this course, a student should understand the algorithmic aspects of image acquisition, noise attenuation, feature extraction, camera model and stereopsis, motion analysis, and image segmentation. A student should be able to write computer programs to implement the techniques discussed in the class. A student should also be able to identify and apply a computer vision method for an application of interest.