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

Data Segmentation and Model Selection for Computer Vision

A Statistical Approach

Autor: Alireza Bab-Hadiashar, David Suter
Limbă: engleză
Legare: Copertă tare
Editura: Springer-Verlag New York Inc.
Disponibilitate: În depozitul extern
Expediem în 10-13 zile
277.38 lei
The problem of range and motion segmentation is of major importance in computer vision, image proces...

Informații despre carte

Autor
Alireza Bab-Hadiashar, David Suter
Limbă
engleză
Legare
Carte - Copertă tare
Publicat
2000
Pagini
208
EAN
9780387988153
ISBN
0387988157
Enbook ID
01385653
Editura
Springer-Verlag New York Inc.
Greutate
1120
Dimensiuni
155 x 235 x 17

Descriere completă

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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