9.913 Pattern Recognition for Machine Vision, Fall 2004
Example of color and position clustering: Each pixel is represented by a its color/position features (R, G, B, wx, wy), where w is a constant. Clustering is applied to group pixels with similar color and position. (Image by Dr. Bernd Heisele.)
课程重点
This course features animations and downloadable lecture notes.
课程描述
The applications of pattern recognition techniques to problems of machine vision is the main focus for this course. Topics covered include, an overview of problems of machine vision and pattern classification, image formation and processing, feature extraction from images, biological object recognition, bayesian decision theory, and clustering.
Technical Requirements
RealOne™ Player software is required to run the .rm files found on this course site.
