Robust Computer Vision: Theory and Applications

by N. Sebe

Book Overview

From the foreword by Thomas Huang:
"During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov models are also used. Three aspects are stressed: features, similarity metric, and models. Many interesting and important new results, based on...

• Format: Paperback
• Language: English
• ISBN: 9048162904
• ISBN13: 9789048162901
• Release Date: December 2010
• Publisher: Springer
• Length: 215 Pages
• Weight: 0.73 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"