Corner-based geometric calibration of multi-focus plenoptic cameras
Conference paper
Nousias, S., Chadebecq, F., Pichat, J., Keane, P., Ourselin, S. and Bergeles, C. 2017. Corner-based geometric calibration of multi-focus plenoptic cameras. 2017 IEEE International Conference on Computer Vision (ICCV). Venice, Italy 22 - 29 Oct 2017 IEEE. pp. 957-965 https://doi.org/10.1109/ICCV.2017.109
Type | Conference paper |
---|---|
Title | Corner-based geometric calibration of multi-focus plenoptic cameras |
Authors | Nousias, S., Chadebecq, F., Pichat, J., Keane, P., Ourselin, S. and Bergeles, C. |
Abstract | We propose a method for geometric calibration of multi-focus plenoptic cameras using raw images. Multi-focus plenoptic cameras feature several types of micro-lenses spatially aligned in front of the camera sensor to generate micro-images at different magnifications. This multi-lens arrangement provides computational-photography benefits but complicates calibration. Our methodology achieves the detection of the type of micro-lenses, the retrieval of their spatial arrangement, and the estimation of intrinsic and extrinsic camera parameters therefore fully characterising this specialised camera class. Motivated from classic pinhole camera calibration, our algorithm operates on a checker-board's corners, retrieved by a custom micro-image corner detector. This approach enables the introduction of a reprojection error that is used in a minimisation framework. Our algorithm compares favourably to the state-of-the-art, as demonstrated by controlled and freehand experiments, making it a first step towards accurate 3D reconstruction and Structure-from-Motion. |
Conference | 2017 IEEE International Conference on Computer Vision (ICCV) |
Page range | 957-965 |
Proceedings Title | 2017 IEEE International Conference on Computer Vision (ICCV) |
ISSN | |
Electronic | 1550-5499 |
ISBN | |
Electronic | 9781538610329 |
Hardcover | 9781538610336 |
Publisher | IEEE |
Publication dates | |
25 Dec 2017 | |
Publication process dates | |
Accepted | 2017 |
Deposited | 28 Feb 2024 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICCV.2017.109 |
Web of Science identifier | WOS:000425498401002 |
Language | English |
https://repository.mdx.ac.uk/item/z8081
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