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Data Segmentation and Model Selection for Computer Vision

Data Segmentation and Model Selection for Computer Vision

A Statistical Approach

by David Suter and Alireza Bab-Hadiashar
Paperback
Publication Date: 08/08/2012

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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.
ISBN:
9781468495089
9781468495089
Category:
Pattern recognition
Format:
Paperback
Publication Date:
08-08-2012
Language:
English
Publisher:
Springer-Verlag New York Inc.
Country of origin:
United States
Pages:
208
Dimensions (mm):
235x155x12mm
Weight:
0.36kg

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