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DATA SEGMENTATION AND MODEL SELECTION FOR COMPUTER VISION : A STATISTICAL APPROA

Unknown Author
4.9/5 (9077 ratings)
Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with DATA SEGMENTATION AND MODEL SELECTION FOR COMPUTER VISION : A STATISTICAL APPROA. To get started finding DATA SEGMENTATION AND MODEL SELECTION FOR COMPUTER VISION : A STATISTICAL APPROA, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0387988157

DATA SEGMENTATION AND MODEL SELECTION FOR COMPUTER VISION : A STATISTICAL APPROA

Unknown Author
4.4/5 (1290744 ratings)
Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with DATA SEGMENTATION AND MODEL SELECTION FOR COMPUTER VISION : A STATISTICAL APPROA. To get started finding DATA SEGMENTATION AND MODEL SELECTION FOR COMPUTER VISION : A STATISTICAL APPROA, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0387988157
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