Pola4All: survey of polarimetric applications and an open-source toolkit
  to analyze polarization
Joaquin Rodriguez Lew-Fock-Chong Lew-Yan-Voon Renato Martins Olivier Morel
Polarization information of the light can provide rich cues for computer
vision and scene understanding tasks, such as the type of material, pose, and
shape of the objects. With the advent of new and cheap polarimetric sensors,
this imaging modality is becoming accessible to a wider public for solving
problems such as pose estimation, 3D reconstruction, underwater navigation, and
depth estimation. However, we observe several limitations regarding the usage
of this sensorial modality, as well as a lack of standards and publicly
available tools to analyze polarization images. Furthermore, although
polarization camera manufacturers usually provide acquisition tools to
interface with their cameras, they rarely include processing algorithms that
make use of the polarization information. In this paper, we review recent
advances in applications that involve polarization imaging, including a
comprehensive survey of recent advances on polarization for vision and robotics
perception tasks. We also introduce a complete software toolkit that provides
common standards to communicate with and process information from most of the
existing micro-grid polarization cameras on the market. The toolkit also
implements several image processing algorithms for this modality, and it is
publicly available on GitHub: https://github.com/vibot-lab/Pola4all_JEI_2023.