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Titolo:
A geometric approach for the analysis and computation of the intrinsic camera parameters
Autore:
Bayro-Corrochano, E; Rosenhahn, B;
Indirizzi:
Ctr Invest Matemat AC, Guanajuato 36000, Mexico Ctr Invest Matemat AC Guanajuato Mexico 36000 , Guanajuato 36000, Mexico Univ Kiel, Inst Comp Sci, D-24105 Kiel, Germany Univ Kiel Kiel Germany D-24105 iel, Inst Comp Sci, D-24105 Kiel, Germany
Titolo Testata:
PATTERN RECOGNITION
fascicolo: 1, volume: 35, anno: 2002,
pagine: 169 - 186
SICI:
0031-3203(200201)35:1<169:AGAFTA>2.0.ZU;2-4
Fonte:
ISI
Lingua:
ENG
Soggetto:
SELF-CALIBRATION; MOVING CAMERA; ALGEBRA;
Keywords:
computer vision; projective geometry; Clifford algebra; geometric algebra; calibration; Kruppa's equations; essential and fundamental matrices;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
26
Recensione:
Indirizzi per estratti:
Indirizzo: Bayro-Corrochano, E CINVESTAV, Unidad Guadalajara, Dept Comp Sci, ApartadoPostal 31-438,Apartado La Luna, Guadalajara 44550, Jalisco, Mexico CINVESTAV Apartado Postal 31-438,Apartado La Luna Guadalajara Jalisco Mexico 44550
Citazione:
E. Bayro-Corrochano e B. Rosenhahn, "A geometric approach for the analysis and computation of the intrinsic camera parameters", PATT RECOG, 35(1), 2002, pp. 169-186

Abstract

The authors of this paper adopted the projected characteristics of the absolute conic in terms of the Pascal's theorem to propose an entirely new camera calibration method based on purely geometric thoughts. The use of this theorem in the geometric algebra framework allows us to compute a projective invariant using the conics of only two images which expressed using brackets helps us to set enough equations to solve the calibration problem. The method requires restricted controlled camera movements. Our method is less sensitive to noise as the Kruppa's-equation-based methods. Experiments withsimulated and real images confirm that the performance of the algorithm isreliable. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 19/09/20 alle ore 21:58:33