  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.
