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Titolo:
Statistical image analysis for pose estimation without point correspondences
Autore:
Liu, YH; Rodrigues, MA;
Indirizzi:
Sheffield Hallam Univ, Sch Comp & Management Sci, Intelligent Syst Res Grp, Sheffield S1 1WB, S Yorkshire, England Sheffield Hallam Univ Sheffield SYorkshire England S1 1WB shire, England
Titolo Testata:
PATTERN RECOGNITION LETTERS
fascicolo: 11, volume: 22, anno: 2001,
pagine: 1191 - 1206
SICI:
0167-8655(200109)22:11<1191:SIAFPE>2.0.ZU;2-#
Fonte:
ISI
Lingua:
ENG
Soggetto:
PLANAR SURFACE; MOTION;
Keywords:
image understanding; correspondenceless pose estimation; epipolar geometry; camera setup;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
24
Recensione:
Indirizzi per estratti:
Indirizzo: Rodrigues, MA Sheffield Hallam Univ, Sch Comp & Management Sci, Intelligent Syst Res Grp, Sheffield S1 1WB, S Yorkshire, England Sheffield Hallam Univ Sheffield S Yorkshire England S1 1WB
Citazione:
Y.H. Liu e M.A. Rodrigues, "Statistical image analysis for pose estimation without point correspondences", PATT REC L, 22(11), 2001, pp. 1191-1206

Abstract

We propose a novel algorithm for correspondenceless pose estimation based on a realistic camera setup for a class of industrial problems. The algorithm provides unique closed form solutions to all parameters of interest and its superior performance is demonstrated by extensive comparisons with an epipolar geometry-based algorithm. (C) 2001 Elsevier Science B.V. All rightsreserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 06/04/20 alle ore 05:58:27