Partially calibrated semi-generalized pose from hybrid point correspondences

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00371941" target="_blank" >RIV/68407700:21230/23:00371941 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/23:00371941

Výsledek na webu

<a href="https://doi.org/10.1109/WACV56688.2023.00290" target="_blank" >https://doi.org/10.1109/WACV56688.2023.00290</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/WACV56688.2023.00290" target="_blank" >10.1109/WACV56688.2023.00290</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Partially calibrated semi-generalized pose from hybrid point correspondences

Popis výsledku v původním jazyce

We study the problem of estimating the semi-generalized pose of a partially calibrated camera, i.e., the pose of a perspective camera with unknown focal length w.r.t. a generalized camera, from a hybrid set of 2D-2D and 2D-3D point correspondences. We study all possible camera configurations within the generalized camera system. To derive practical solvers to previously unsolved challenging configurations, we test different parameterizations as well as different solving strategies based on state-of-the-art methods for generating efficient polynomial solvers. We evaluate the three most promising solvers, i.e., the H51f solver with five 2D-2D correspondences and one 2D-3D match viewed by the same camera inside the generalized camera, the H32f solver with three 2D-2D and two 2D-3D correspondences, and the H13f solver with one 2D-2D and three 2D-3D matches, on synthetic and real data. We show that in the presence of noise in the 3D points these solvers provide better estimates than the corresponding absolute pose solvers.

Název v anglickém jazyce

Partially calibrated semi-generalized pose from hybrid point correspondences

Popis výsledku anglicky

We study the problem of estimating the semi-generalized pose of a partially calibrated camera, i.e., the pose of a perspective camera with unknown focal length w.r.t. a generalized camera, from a hybrid set of 2D-2D and 2D-3D point correspondences. We study all possible camera configurations within the generalized camera system. To derive practical solvers to previously unsolved challenging configurations, we test different parameterizations as well as different solving strategies based on state-of-the-art methods for generating efficient polynomial solvers. We evaluate the three most promising solvers, i.e., the H51f solver with five 2D-2D correspondences and one 2D-3D match viewed by the same camera inside the generalized camera, the H32f solver with three 2D-2D and two 2D-3D correspondences, and the H13f solver with one 2D-2D and three 2D-3D matches, on synthetic and real data. We show that in the presence of noise in the 3D points these solvers provide better estimates than the corresponding absolute pose solvers.

Druh

D - Stať ve sborníku

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

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proc. of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

ISBN

978-1-6654-9346-8

ISSN

2472-6737

e-ISSN

2642-9381

Počet stran výsledku

10

Strana od-do

2881-2890

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Waikoloa

Datum konání akce

3. 1. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000971500203001