Civit datasets: horizontal-parallax-only densely-sampled light-fields

In this paper, we present datasets consisting of six horizontalparallax-only densely-sampled light fields (DSLFs). Five of the presented light fields (LFs) have been captured using a camera attached to an in-house built motorized linear positioning system (LPS). The sixth LF has been generated in Blender by replicating the LPS’ camera setup. All LFs have undergone preand post-processing steps in order to mitigate capture-related distortions. The generated LFs are organized, based on their characteristics, into three categories: synthetic, Lambertian and nonLambertian LFs. All of them comply with the DSLF requirement, i.e. the maximum disparity between adjacent images is less than one pixel. The datasets are provided to serve as ground truth LFs for developing various applications, such as LF view interpolation, super resolution, and compression. Index Terms — light field, dataset, non-Lambertian, LPS