Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD point 990 Ft DPD courier 1 190 Ft GLS point 1 190 Ft Hungarian Post 1 795 Ft Hungarian Post 1 690 Ft Hungarian Post 1 690 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft GLS courier 1 690 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Data Segmentation and Model Selection for Computer Vision

Name: Data Segmentation and Model Selection for Computer Vision
Brand: Springer-Verlag New York Inc.
SKU: 01385653
Price: 20251 HUF
Availability: InStock
Author: Alireza Bab-Hadiashar
ISBN: 9780387988153

A Statistical Approach

Alireza Bab-Hadiashar

David Suter

Language

English

Book Hardback

Libristo code: 01385653

Publishers Springer-Verlag New York Inc., February 2000

The problem of range and motion segmentation is of major importance in computer vision, image proces... Full description

Libristo code: 01385653

136 b

20 251 Ft

In stock at our supplier Shipping in 10-13 days

Up to 30 days for returns

Customers also purchased

TOUT VA BIEN! 4 ELEVE + PORTFOLIO Claire Marlhens

Paperback

8 612 Ft

Die öffentliche Förderung des Musiktheaters in Deutschland. Wolf-Dietrich Tillner

Paperback

33 278 Ft

Pan, Queso Y Besos Mary [From Old Catalog] Tr Springer

Paperback

8 266 Ft

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.