Polarization three-dimensional (3D) imaging technology has received extensive attention in
recent years because of its advantages of high accuracy, long detection distance, simplicity …

Current polarimetric 3D reconstruction methods, including those in the well-established
shape from polarization literature, are all developed under the orthographic projection …

In recent years, the integration of polarimetric imaging into robotic perception systems has
increased significantly, driven by the accessibility of affordable polarimetric sensors. This …

Lidar has become a cornerstone sensing modality for 3D vision especially for large outdoor
scenarios and autonomous driving. Conventional lidar sensors are capable of providing …

Existing depth sensors are imperfect and may provide inaccurate depth values in
challenging scenarios such as in the presence of transparent or reflective objects. In this …

Polarimetric imaging has been applied in a growing number of applications in robotic vision
(ex. underwater navigation, glare removal, de-hazing, object classification, and depth …

A visual localization method utilizing a fisheye monocular camera is proposed to enhance
navigation accuracy of autonomous mobile robots in indoor environments for warehouse or …

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 …

The vast majority of Shape-from-Polarization (SfP) methods work under the oversimplified
assumption of using orthographic cameras. Indeed, it is still unclear how Stokes vector …

This paper is concerned with specular reflection removal based on tensor low-rank
decomposition framework with the help of polarization information. Our method is motivated …