Partially calibrated semi-generalized pose from hybrid point correspondences

Result code in 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>

Alternative codes found

RIV/68407700:21730/23:00371941

Result on the web

<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>

Result language

angličtina

Original language name

Partially calibrated semi-generalized pose from hybrid point correspondences

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2023

Confidentiality

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

Article name in the collection

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

Number of pages

10

Pages from-to

2881-2890

Publisher name

IEEE

Place of publication

Piscataway

Event location

Waikoloa

Event date

Jan 3, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000971500203001