Data Segmentation and Model Selection for Computer Vision: A Statistical Approach

ISBN 10: 0387988157 ISBN 13: 9780387988153

Editorial: Springer, 2000

Idioma: Ingl�s

Condici�n: Usado - Aceptable Encuadernaci�n de tapa dura

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Detalles bibliogr�ficos

T�tulo: Data Segmentation and Model Selection for Computer Vision: A Statistical Approach
Editor: Springer
Fecha de publicaci�n: 2000
Idioma: Ingl�s
ISBN 10: 0387988157
ISBN 13: 9780387988153
Encuadernaci�n: hardcover
Estado: Good

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Sinopsis

This edited volume explores several issues relating to parametric segmentation including robust operations, model selection criteria and automatic model selection, plus 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 is a valuable resource for researchers and graduated students working in computer vision, pattern recognition, image processing and robotics.

Rese�a del editor

This edited volume explores several issues relating to parametric segmentation including robust operations, model selection criteria and automatic model selection, plus 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 is a valuable resource for researchers and graduated students working in computer vision, pattern recognition, image processing and robotics.

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