Robust Computer Vision

Theory and Applications

von N. Sebe, M.S. Lew

215 Seiten, Hardcover

Kurzbeschreibung des Verlags

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 research by the authors and their collaborators, are presented.

Although this book contains many new results, it is written in a style that suits both experts and novices in computer vision."

• Reihe: Computational Imaging and Vision
• Themen: Informatik und Informationstechnologie Informatik Bildverarbeitung
• ISBN: 9781402012938
• Sprache: Englisch
• Erscheinungsdatum: 30.04.2003
• Größe: 29.7 x 21 cm
• Verlag: Springer Netherland