Observer forms for perspective systems
type: Item
instance of: scholarly article
title: Observer forms for perspective systems
zbMATH Open document ID: 1232.68155
author: Ola Dahl
author: Yebin Wang
author: Alan F. Lynch
author: Anders Heyden
published in: Automatica
publication date: 2011-01-19T00:00:00Z
full work available at URL: http://hdl.handle.net/2043/7394
review text: The authors study the estimation of three-dimensional information from two-dimensional images in computer vision. They show that a perspective system can be transformed into two observer forms and give methods for constructing the transformation that lead to straightforward observer design. The designs are demonstrated by simulations.
Mathematics Subject Classification ID: 68T45
Mathematics Subject Classification ID: 68U07
zbMATH DE Number: 5839004
zbMATH Keywords: nonlinear observer
zbMATH Keywords: perspective systems
zbMATH Keywords: observer forms
zbMATH Keywords: structure estimation
zbMATH Keywords: computer vision systems
reviewed by: Liviu Goraş
describes a project that uses: Maple
MaRDI profile type: Publication
OpenAlex ID: W2028842823
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DOI: 10.1016/J.AUTOMATICA.2010.06.047
description: scientific article; zbMATH DE number 5839004