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Article

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Title

ECPC – versatile multicamera system calibration framework for immersive video applications

Authors

[ 1 ] Instytut Telekomunikacji Multimedialnej, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2024

Published in

SoftwareX

Journal year: 2024 | Journal volume: vol. 26

Article type

scientific article

Publication language

english

Keywords
EN
  • immersive video
  • multicamera system
  • extrinsic parameters
  • multicamera system calibration
Abstract

EN Accurate extrinsic parameters calibration is crucial particularly in immersive video, where camera calibration plays a significant role, as its quality is essential for accurate reconstruction and efficient compression of three-dimensional scenes. While methods for intrinsic parameters calibration, color correction, and depth estimation are publicly available, there is a lack of versatile techniques for estimating extrinsics in the context of immersive video. The proposed Extrinsic Camera Parameters Calibration (ECPC) software addresses these limitations by proposing an extrinsic parameters estimation method and a framework for testing its accuracy. The software is compatible with MPEG Immersive Video framework, allowing for seamless integration and evaluation. The proposed method contributes to the advancement of immersive video applications by providing a reliable and comprehensive approach for estimating and evaluating extrinsic parameters.

Pages (from - to)

101669-1 - 101669-7

DOI

10.1016/j.softx.2024.101669

URL

https://www.sciencedirect.com/science/article/pii/S2352711024000402

Comments

Article number: 101669

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Full text of article

Download file

Access level to full text

public

Ministry points / journal

200

Impact Factor

2,4 [List 2023]

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