Search Results for author:
Found 6 papers, 2 papers with code
Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarization
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.
A Practical Calibration Method for RGB Micro-Grid Polarimetric Cameras
In this paper, we propose a new method to overcome the need for complex optical systems to efficiently calibrate these cameras.
N-QGN: Navigation Map from a Monocular Camera using Quadtree Generating Networks
Monocular depth estimation has been a popular area of research for several years, especially since self-supervised networks have shown increasingly good results in bridging the gap with supervised and stereo methods.
Towards urban scenes understanding through polarization cues
Autonomous robotics is critically affected by the robustness of its scene understanding algorithms.
P2D: a self-supervised method for depth estimation from polarimetry
Monocular depth estimation is a recurring subject in the field of computer vision.
Polarimetric image augmentation
Robotics applications in urban environments are subject to obstacles that exhibit specular reflections hampering autonomous navigation.
