Data Segmentation and Model Selection for Computer Vision A Statistical Approach

Name: Data Segmentation and Model Selection for Computer Vision A Statistical Approach
Price: 8.91 USD
Availability: InStock
ISBN: 9780387988153

ISBN-10: 0387988157

ISBN-13: 9780387988153

Edition: 2000

Authors: Alireza Bab-Hadiashar, David Suter

List price: $54.99

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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,…

Book details

List price: $54.99
Copyright year: 2000
Publisher: Springer New York
Publication date: 2/28/2000
Binding: Hardcover
Pages: 208
Size: 6.10" wide x 9.25" long x 0.26" tall
Weight: 2.464
Language: English



Introductory Notes on the Nature of Model Based Data Segmentation


Robust Regression Methods and Model Selection


2D and 3D Scene Segmentation


Model Selection Criteria for Geometric Inference


Robust Data Segmentation for Computer Vision


Robust Model Selection for 2 View Geometry


Robust Mallows' Cp for Model Selection