Can I read Data Segmentation and Model Selection for Computer Vision : A Statistical Approach on EtoBox?

Data Segmentation and Model Selection for Computer Vision : A Statistical Approach by Bab-hadiashar, Alireza., Suter, David, (computer Scientist), Alireza Bab-Hadiashar, David Suter, editors, Alireza Bab-Hadiashar, David Suter is a book available to read on EtoBox.

What is Data Segmentation and Model Selection for Computer Vision : A Statistical Approach about?

the Problem Of Range And Motion Segmentation Is Of Major Importance In Computer Vision, Image Procession, And Intelligent Robotics. This Edited Volume Explores Several Issues Relating To Parametric Segmentation Including Robust Operations, Model Selection Criteria And Automatic Model Selection, And 2d And 3d Scene Segmentation. Emphasis Is Placed On Robust Model Selection With Techniques Such As Robust Mallows Cp, Least K-th Order Statistical Model Fitting (lks), And Robust Regression Receiving Much Attention. With Contributions From Leading Researchers, This Book Is A Valuable Resource For Researchers And Graduate Students Working In Computer Vision, Pattern Recognition, Image Processing, And Robotics. \"This unique interdisciplinary book contains research material from two relatively distinct communities: statisticians working on robust techniques for model fitting and model selection; and engineers and computer scientists working on problems involving data segmentation.\" \"For statisticians, the book contains a convenient summary of recent work in their community and provides them with an excellent primer on the problems of data segmentation within a machine-vision context. For

Author

Bab-hadiashar, Alireza., Suter, David, (computer Scientist), Alireza Bab-Hadiashar, David Suter, editors, Alireza Bab-Hadiashar, David Suter

Publisher

Springer-Verlag

Published

2000

Language

EN

ISBN

9780387215280

Subjects

Computer Science, Engineering, Science