Spatial resolution in a multi-focus plenoptic camera

Abstract

Damghanian, M.; Olsson, R.; Sjöström, M.; Erdmann, A.; Perwass, C., "Spatial resolution in a multifocus plenoptic camera," IEEE International Conference on Image Processing (ICIP 2014), vol., no., pp.1932-1936, 27-30 Oct. 2014 © 2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Raytrix GmbH Kiel, GermanyABSTRACT Evaluation of the state of the art plenoptic cameras is necessary for design and application purposes. In this work, spatial resolution is investigated in a multi-focus plenoptic camera using two approaches: empirical and model-based. The Raytrix R29 plenoptic camera is studied which utilizes three types of micro lenses with different focal lengths in a hexagonal array structure to increase the depth of field. The modelbased approach utilizes the previously proposed sampling pattern cube (SPC) model for representation and evaluation of the plenoptic capturing systems. For the experimental resolution measurements, spatial resolution values are extracted from images reconstructed by the provided Raytrix reconstruction method. Both the measurement and the SPC model based approaches demonstrate a gradual variation of the resolution values in a wide depth range for the multi focus R29 camera. Moreover, the good agreement between the results from the model-based approach and those from the empirical approach confirms suitability of the SPC model in evaluating high-level camera parameters such as the spatial resolution in a complex capturing system as R29 multi-focus plenoptic camera.

Depth and angular resolution in plenoptic cameras

“…The Sampling Pattern Cube (SPC) model was introduced in [12] and has been successfully utilized for extraction of the spatial resolution in integral imaging setups [13] and state of the art plenoptic cameras [14,15]. In contrast to the previous models, the SPC model considers the light samples in the form of light cones, which are bundles of light rays, with a tip position and an angular span (see Figure 1).…”

Efficient and Accurate Disparity Estimation from MLA-Based Plenoptic Cameras

“…The image rendering process for FPC and the achievable spatial resolution were widely discussed, for example in [WFJ11] a gradient-based approach is used to determine the size of the patch of the spatial information to be extracted from each microlens, without directly involving a depth estimation. The range of the spatial resolution was tested against their theoretical model in [DOS+14], confirming the insight that objects at different depths in the scene are imaged at different resolution, introducing 2.2. How to capture the light field additional challenges in the image rendering process.…”