An Efficient and Reasonably Simple Solution to the Perspective-Three-Point Problem

Qida Yu, Guili Xu, Jiachen Shi

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

In this work, we propose an efficient and simple method for solving the perspective-three-point (P3P) problem. This algorithm leans substantially on linear algebra, in which the rotation matrix and translation vector are parameterized as linear combinations of known vectors with particular coefficients. We also show how to avoid degeneracy when performing this algorithm. Moreover, we present an approach to roughly remove invalid solutions based on the orthogonal property of the rotation matrix. The proposed method is simple to implement and easy to understand, with improved results demonstrating that it is competitive with the leading methods in accuracy, but with reduced computational requirements.

OriginalspracheEnglisch
TitelPattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings
Redakteure/-innenAlberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani
Herausgeber (Verlag)Springer Science and Business Media Deutschland GmbH
Seiten46-59
Seitenumfang14
ISBN (Print)9783030687922
DOIs
PublikationsstatusVeröffentlicht - 2021
Extern publiziertJa
Veranstaltung25th International Conference on Pattern Recognition Workshops, ICPR 2020 - Milan, Italien
Dauer: 10 Jan. 202111 Jan. 2021

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band12668 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz25th International Conference on Pattern Recognition Workshops, ICPR 2020
Land/GebietItalien
OrtMilan
Zeitraum10/01/2111/01/21

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