This item is printed on demand - it takes 3-4 days longer - Neuware -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. 232 pp. Englisch.

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Detalles bibliogr�ficos

T�tulo

Data Segmentation and Model Selection for Computer Vision

Editor

Springer New York Aug 2012

Fecha de publicaci�n

2012

Idioma

Ingl�s

ISBN 10

1468495089

ISBN 13

9781468495089

Encuadernaci�n

Taschenbuch

Estado

Neu

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Sinopsis

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 emphasizing robust techniques and model selection. With contributions from leading scientists and engineers in the field, this book is a valuable resource for researchers and graduate 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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BuchWeltWeit Ludwig Meier e.K.
Germany

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