Analysis of the consequences of data quality and calibration on 3D HDR image generation

We propose to analyze consequences of input data quality on 3D HDR image generation. Input data are images from different viewpoints and different exposures. The ease and precision of 3D HDR images merging depends on how input data are created or acquired. We study the benefits and drawbacks of using an inbuilt multiview camera against a single camera with a simulation on computer generated images. This work builds on a previously published 3D HDR method based on disparity to guide HDR matching. In this paper, we outline the errors that occur when too little precaution is taken, coming on the one hand from poor pixel quality and on the other hand from poor geometrical setup.