Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00342319" target="_blank" >RIV/68407700:21230/21:00342319 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/21:00342319

Výsledek na webu

<a href="https://doi.org/10.1109/TPAMI.2020.2992261" target="_blank" >https://doi.org/10.1109/TPAMI.2020.2992261</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TPAMI.2020.2992261" target="_blank" >10.1109/TPAMI.2020.2992261</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations

Popis výsledku v původním jazyce

This paper introduces minimal solvers that jointly solve for radial lens undistortion and affine-rectification using local features extracted from the image of coplanar translated and reflected scene texture, which is common in man-made environments. The proposed solvers accommodate different types of local features and sampling strategies, and three of the proposed variants require just one feature correspondence. State-of-the-art techniques from algebraic geometry are used to simplify the formulation of the solvers. The generated solvers are stable, small and fast. Synthetic and real-image experiments show that the proposed solvers have superior robustness to noise compared to the state of the art. The solvers are integrated with an automated system for rectifying imaged scene planes from coplanar repeated texture. Accurate rectifications on challenging imagery taken with narrow to wide field-of-view lenses demonstrate the applicability of the proposed solvers.

Název v anglickém jazyce

Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations

Popis výsledku anglicky

This paper introduces minimal solvers that jointly solve for radial lens undistortion and affine-rectification using local features extracted from the image of coplanar translated and reflected scene texture, which is common in man-made environments. The proposed solvers accommodate different types of local features and sampling strategies, and three of the proposed variants require just one feature correspondence. State-of-the-art techniques from algebraic geometry are used to simplify the formulation of the solvers. The generated solvers are stable, small and fast. Synthetic and real-image experiments show that the proposed solvers have superior robustness to noise compared to the state of the art. The solvers are integrated with an automated system for rectifying imaged scene planes from coplanar repeated texture. Accurate rectifications on challenging imagery taken with narrow to wide field-of-view lenses demonstrate the applicability of the proposed solvers.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

IEEE Transactions on Pattern Analysis and Machine Intelligence

ISSN

0162-8828

e-ISSN

1939-3539

Svazek periodika

43

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

18

Strana od-do

3931-3948

Kód UT WoS článku

000702649700018

EID výsledku v databázi Scopus

2-s2.0-85116577270