Open AccessCalibration and Auto-Refinement for Light Field Cameras
Author(s) -
Yuriy Anisimov,
Gerd Reis,
Didier Stricker
Publication year - 2021
Publication title -
computer science research notes
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.11
H-Index - 4
eISSN - 2464-4625
pISSN - 2464-4617
DOI - 10.24132/csrn.2021.3101.28
Subject(s) - rectification , computer vision , artificial intelligence , triangulation , computer science , light field , calibration , field (mathematics) , camera resectioning , filter (signal processing) , nonlinear system , mathematics , engineering , physics , statistics , geometry , voltage , pure mathematics , electrical engineering , quantum mechanics
The ability to create an accurate three-dimensional reconstruction of a captured scene draws attention to the prin- ciples of light fields. This paper presents an approach for light field camera calibration and rectification, based on pairwise pattern-based parameters extraction. It is followed by a correspondence-based algorithm for camera parameters refinement from arbitrary scenes using the triangulation filter and nonlinear optimization. The effec- tiveness of our approach is validated on both real and synthetic data.