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

ISBN 10: 1468495089 / ISBN 13: 9781468495089

Verlag: Springer, 2012

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Bibliografische Details

• Titel: Data Segmentation and Model Selection for Computer Vision: A Statistical Approach
• Verlag: Springer
• Erscheinungsjahr: 2012
• Sprache: Englisch
• ISBN-10: 1468495089
• ISBN-13: 9781468495089
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Reseña 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.