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

Robust Computer Vision: Theory and Appli

📁 Robust Computer Vision: Theory and Applications (Computational Imaging and Vision)

✍ N. Sebe, M.S. Lew 📂 Library 📅 2003 🏛 Springer 🌐 English

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 Mark

Robust Computer Vision Theory and Appli

📁 Robust Computer Vision Theory and Applications

✍ N. Sebe, M.S. Lew 📂 Library 📅 2010 🏛 Springer 🌐 English

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 m

Robust computer vision: theory and appli

📁 Robust computer vision: theory and applications

✍ Sebe N., Lew M.S. 📂 Library 📅 2003 🏛 Kluwer 🌐 English

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 m

Robust Computer Vision: Theory and Appli

📁 Robust Computer Vision: Theory and Applications

✍ Nicu Sebe, Michael S. Lew (auth.) 📂 Library 📅 2003 🏛 Springer Netherlands 🌐 English

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, a

Computer Vision: Theory and Industrial A

📁 Computer Vision: Theory and Industrial Applications

✍ Josep Amat, Alícia Casals (auth.), Prof. Carme Torras (eds.) 📂 Library 📅 1992 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

This book is the fruit of a very long and elaborate process. It was conceived as a comprehensive solution to several deficiencies encountered while trying to teach the essentials of Computer Vision in different contexts: to technicians from industry looking for technological solutions to some of

Computer Vision and Image Processing: Fu

📁 Computer Vision and Image Processing: Fundamentals and Applications

✍ Manas Kamal Bhuyan 📂 Library 📅 2019 🏛 Routledge 🌐 English

The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing co

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

✦ Synopsis