ENGLISH

Robust Computer Vision: Theory and Applications (Computational Imaging and Vision Series, Volume 26)

By Nicu Sebe , Michael S. Lew

Book information

ISBN
1402012934, 9781402012938, 9048162904, 9789048162901
ASIN
ISBN10:B000N6EWY6;ISBN10:B003Q808Q4
LCC
TA1634 .S42 2003
Open Library ID
OL3686310M
Language
english
Format
PDF
Filesize
3 MB (3213991 bytes)
Edition
1
Pages
234\234
Time added
2012-02-04 16:00:00

Description

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."

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