DATA SEGMENTATION AND MODEL SELECTION FOR COMPUTER VISION (HB 2000)
HADISHAR B
ISBN 10: 0387988157 ISBN 13: 9780387988153
Published by SPRINGER, 2000
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Hardcover
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Synopsis:
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.
Synopsis: 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.
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Bibliographic Details
Title: DATA SEGMENTATION AND MODEL SELECTION FOR ...
Publisher: SPRINGER
Publication Date: 2000
Binding: Hardcover
Condition: New
Edition: International Edition