Leveraging Blur Information for Plenoptic Camera Calibration

• Published in: International journal of computer vision Vol. 130; no. 7; pp. 1655 - 1677
• Main Authors: Labussière, Mathieu, Teulière, Céline, Bernardin, Frédéric, Ait-Aider, Omar
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.07.2022; Springer; Springer Nature B.V; Springer Verlag
• Subjects: Algorithms; Artificial Intelligence; Calibration; Cameras; Circles (geometry); Computer Imaging; Computer Science; Computer Vision and Pattern Recognition; Configurations; Cost function; Depth of field; Image Processing and Computer Vision; Image reconstruction; Microlenses; Optimization; Pattern Recognition; Pattern Recognition and Graphics; Point spread functions; Projection model; Special Issue on 3D Computer Vision; Vision; Plenoptic camera; Calibration; Blur circle; Relative blur; Multi-focus

This paper presents a novel calibration algorithm for plenoptic cameras, especially the multi-focus configuration, where several types of micro-lenses are used, using raw images only. Current calibration methods rely on simplified projection models, use features from reconstructed images, or require...