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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Data Segmentation and Model Selection for Computer Vision
• Subtitle: A Statistical Approach
• Author: Alireza Bab-Hadiashar, David Suter
• Language: English
• Binding: Paperback
• Number of pages: 208
• EAN: 9781468495089
• ISBN: 1468495089
• ID: 02074764
• Publisher: Springer-Verlag New York Inc.
• Weight: 361 g
• Dimensions: 235 × 155 × 13 mm
• Date of publishing: 08. August 2012

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