Geometric Calibration of Micro-Lens-Based Light-Field Cameras Using Line Features
Abstract
We present a novel method of geometric calibration of micro-lens-based light-field cameras. Accurate geometric calibration is a basis of various applications. Instead of using sub-aperture images, we utilize raw images directly for calibration. We select proper regions in raw images and extract line features from micro-lens images in those regions. For the whole process, we formulate a new projection model of micro-lens-based light-field cameras. It is transformed into a linear form using line features. We compute an initial solution of both intrinsic and extrinsic parameters by a linear computation, and refine it via a non-linear optimization. Experimental results show the accuracy of the correspondences between rays and pixels in raw images, estimated by the proposed method.
Cite
Text
Bok et al. "Geometric Calibration of Micro-Lens-Based Light-Field Cameras Using Line Features." European Conference on Computer Vision, 2014. doi:10.1007/978-3-319-10599-4_4Markdown
[Bok et al. "Geometric Calibration of Micro-Lens-Based Light-Field Cameras Using Line Features." European Conference on Computer Vision, 2014.](https://mlanthology.org/eccv/2014/bok2014eccv-geometric/) doi:10.1007/978-3-319-10599-4_4BibTeX
@inproceedings{bok2014eccv-geometric,
title = {{Geometric Calibration of Micro-Lens-Based Light-Field Cameras Using Line Features}},
author = {Bok, Yunsu and Jeon, Hae-Gon and Kweon, In-So},
booktitle = {European Conference on Computer Vision},
year = {2014},
pages = {47-61},
doi = {10.1007/978-3-319-10599-4_4},
url = {https://mlanthology.org/eccv/2014/bok2014eccv-geometric/}
}