Del 26 - Computational Imaging and Vision
Robust Computer Vision
Theory and Applications
Inbunden, Engelska, 2003
Av N. Sebe, M.S. Lew, M. S. Lew, Michael Lew
1 449 kr
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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."
Produktinformation
- Utgivningsdatum2003-04-30
- Mått210 x 297 x 18 mm
- Vikt518 g
- FormatInbunden
- SpråkEngelska
- SerieComputational Imaging and Vision
- Antal sidor215
- Upplaga2003
- FörlagKluwer Academic Publishers
- ISBN9781402012938