ML Anthology

Blur Aware Calibration of Multi-Focus Plenoptic Camera

Mathieu Labussiere, Celine Teuliere, Frederic Bernardin, Omar Ait-Aider
CVPR 2020
doi:10.1109/CVPR42600.2020.00262 /cvpr/2020/labussiere2020cvpr-blur/

Abstract

This paper presents a novel calibration algorithm for Multi-Focus Plenoptic Cameras (MFPCs) using raw images only. The design of such cameras is usually complex and relies on precise placement of optic elements. Several calibration procedures have been proposed to retrieve the camera parameters but relying on simplified models, reconstructed images to extract features, or multiple calibrations when several types of micro-lens are used. Considering blur information, we propose a new Blur Aware Plenoptic (BAP) feature. It is first exploited in a pre-calibration step that retrieves initial camera parameters, and secondly to express a new cost function for our single optimization process. The effectiveness of our calibration method is validated by quantitative and qualitative experiments.

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Cite

Text

Labussiere et al. "Blur Aware Calibration of Multi-Focus Plenoptic Camera." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020. doi:10.1109/CVPR42600.2020.00262

Markdown

[Labussiere et al. "Blur Aware Calibration of Multi-Focus Plenoptic Camera." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020.](https://mlanthology.org/cvpr/2020/labussiere2020cvpr-blur/) doi:10.1109/CVPR42600.2020.00262

BibTeX

@inproceedings{labussiere2020cvpr-blur,
  title     = {{Blur Aware Calibration of Multi-Focus Plenoptic Camera}},
  author    = {Labussiere, Mathieu and Teuliere, Celine and Bernardin, Frederic and Ait-Aider, Omar},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2020},
  doi       = {10.1109/CVPR42600.2020.00262},
  url       = {https://mlanthology.org/cvpr/2020/labussiere2020cvpr-blur/}
}