Polarimetric imaging technology plays a crucial role in de-scattering, particularly in the field
of underwater image restoration. Circularly polarized light (or the underlying circular …

Estimating the polarization properties of objects from polarization images is still an important
but extremely undefined problem. Currently, there are two types of methods to probe the …

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 …

This review article aims to address common research questions in passive polarized vision
for robotics. What kind of polarization sensing can we embed into robots? Can we find our …

Photometric bundle adjustment (PBA) is widely used in estimating the camera pose and 3D
geometry by assuming a Lambertian world. However, the assumption of photometric …

We present a novel multi-camera, multi-modal vision system designed for industrial robotics
applications. The system generates high-quality 3D point clouds, with a focus on improving …

Given a set of outlier-contaminated 2D–3D line correspondences between the scene and a
captured image, we aim to recover the absolute camera pose. This is a fundamental …

Shape from polarization (SfP) benefits from advancements like polarization cameras for
single-shot normal estimation, but its performance heavily relies on light conditions. This …