Rene Magritte, 1928
Le dormeur temeraire (detail)		 CNS/EE148 -  Spring 1999

Selected Topics of Computational Vision

Visual Recognition
Summary
 Humans use vision to recognize objects that they have seen before. They can also generalize from a few examples and recognize classes of objects, e.g. cars, sneakers, dogs. We will explore the computational theory and the engineering issues that underpin object recognition. The homework and lab assignments will guide the students in building a software system that detects and recognizes objects in pictures.
Prerequisits Elements of linear algebra, probability theory, statistics, signal processing. Some familiarity with either Matlab or C/C++ computer programming. The necessary background in computer vision, pattern recognition, geometry and probabilistic modelling will be developed in class.
Instructor
 Pietro Perona
TA
 Markus Weber (x4866)
Time and Place
 T-Th 10:30-12, 080 Moore
Links
Related Class
 Also check the pages of the Sensory Imformation Processing Lab, CNS/EE248, another class involving computer vision.
Copyright © 1999 Markus Weber, Pietro Perona