Data Segmentation and Model Selection for Computer Vision : A Statistical Approach. Alireza Bab-Hadiashar
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Author: Alireza Bab-Hadiashar
Page Count: 228 pages
Published Date: 08 Aug 2012
Publisher: Springer-Verlag New York Inc.
Publication Country: New York, NY, United States
Language: English
Type: PDF
ISBN: 9781468495089
File size: 28 Mb
Download Link: Data Segmentation and Model Selection for Computer Vision A Statistical Approach
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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.
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