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Книга Data Segmentation and Model Selection for Computer Vision Alireza Bab-Hadiashar

Data Segmentation and Model Selection for Computer Vision

A Statistical Approach

Автор: Alireza Bab-Hadiashar, David Suter
Език: Английски език
Корици: С твърди корици
Издател: Springer-Verlag New York Inc.
Наличност: Външен склад
Изпращаме след 10-13 дни
52.72 € 103.11 лв
The problem of range and motion segmentation is of major importance in computer vision, image proces...

Информация за книгата

Автор
Alireza Bab-Hadiashar, David Suter
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2000
страници
208
EAN
9780387988153
ISBN
0387988157
Enbook ID
01385653
Издател
Springer-Verlag New York Inc.
Теглоt
1120
Размери
155 x 235 x 17

Пълно описание

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 including robust operations, model selection criteria and automatic model selection, and 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 book is a valuable resource for researchers and graduate students working in computer vision, pattern recognition, image processing, and robotics.

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