Line Reconstruction from Many Perspective Images by Factorization

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Line Reconstruction from Many Perspective Images by Factorization

Popis výsledku v původním jazyce

This paper brings a new method for line reconstruction from many perspective images by factorization of a matrix containing line correspondences. No point correspondences are used. We formulate the reconstruction from line correspondences in the languageof Pluecker line coordinates. The reconstruction is posed as the factorization of 3m x n matrix S into the product S = Q L of 3m x 6 projection matrix Q and 6 x n line matrix L, both satisfying Klein identities. The matrix S contains coordinates of lines detected in perspective images. Similarly to reconstruction from point correspondences in perspective images, the matrix S has to be properly rescaled before it can be factorized. We propose a scaling of image line coordinates based on trifocal tensorsthat is analogical to the scaling proposed by Sturm and Triggs for points. We propose an SVD based factorization enforcing Klein identities on Q and L in a noise-free situation. We show experiments on real data that suggest that a good r

Název v anglickém jazyce

Line Reconstruction from Many Perspective Images by Factorization

Popis výsledku anglicky

This paper brings a new method for line reconstruction from many perspective images by factorization of a matrix containing line correspondences. No point correspondences are used. We formulate the reconstruction from line correspondences in the languageof Pluecker line coordinates. The reconstruction is posed as the factorization of 3m x n matrix S into the product S = Q L of 3m x 6 projection matrix Q and 6 x n line matrix L, both satisfying Klein identities. The matrix S contains coordinates of lines detected in perspective images. Similarly to reconstruction from point correspondences in perspective images, the matrix S has to be properly rescaled before it can be factorized. We propose a scaling of image line coordinates based on trifocal tensorsthat is analogical to the scaling proposed by Sturm and Triggs for points. We propose an SVD based factorization enforcing Klein identities on Q and L in a noise-free situation. We show experiments on real data that suggest that a good r

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2003

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

CVPR 2003: Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

ISBN

0-7695-1900-8

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

497-502

Název nakladatele

IEEE Computer Society Press

Místo vydání

Los Alamitos

Místo konání akce

Madison

Datum konání akce

16. 6. 2003

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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