Leveraging Blur Information for Plenoptic Camera Calibration - Archive ouverte HAL Access content directly
Journal Articles International Journal of Computer Vision Year : 2022

Leveraging Blur Information for Plenoptic Camera Calibration


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 separated calibrations for each type of micro-lens. In the multifocus configuration, the same part of a scene will demonstrate different amounts of blur according to the micro-lens focal length. Usually, only micro-images with the smallest amount of blur are used. In order to exploit all available data, we propose to explicitly model the defocus blur in a new camera model with the help of our newly introduced Blur Aware Plenoptic (BAP) feature. First, it is used in a pre-calibration step that retrieves initial camera parameters, and second, to express a new cost function to be minimized in our single optimization process. Third, it is exploited to calibrate the relative blur between micro-images. It links the geometric blur, i.e., the blur circle, to the physical blur, i.e., the point spread function. Finally, we use the resulting blur profile to characterize the camera's depth of field. Quantitative evaluations in controlled environment on real-world data demonstrate the effectiveness of our calibrations.
Fichier principal
Vignette du fichier
Leveraging_Blur_Information_for_Plenoptic_Camera_C.pdf (3.33 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03659586 , version 1 (05-05-2022)





Mathieu Labussière, Céline Teulière, Frédéric Bernardin, Omar Ait-Aider. Leveraging Blur Information for Plenoptic Camera Calibration. International Journal of Computer Vision, 2022, ⟨10.1007/s11263-022-01582-z⟩. ⟨hal-03659586⟩
37 View
16 Download



Gmail Facebook Twitter LinkedIn More