This paper makes a first attempt to bring the Shape from Polarization (SfP) problem to the
realm of deep learning. The previous state-of-the-art methods for SfP have been purely …

Ellipsometry techniques allow to measure polarization information of materials, requiring
precise rotations of optical components with different configurations of lights and sensors …

Fig. 1. Polarimetric diffuse vs. specular light transport. Two linear polarization filters are
installed in front of a unpolarized projector and a camera.(a) The diffuse component of the …

In this paper, we propose a hybrid depth imaging system in which a polarisation camera is
augmented by a second image from a standard digital camera. For this modest increase in …

A polarization camera has great potential for 3D reconstruction since the angle of
polarization (AoP) and the degree of polarization (DoP) of reflected light are related to an …

This letter proposes three-filters-to-normal (3F2N), an accurate and ultrafast surface normal
estimator (SNE), which is designed for structured range sensor data, eg, depth/disparity …

This paper presents a novel polarimetric dense monocular SLAM (PDMS) algorithm based
on a polarization camera. The algorithm exploits both photometric and polarimetric light …

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 …

Helmholtz stereopsis (HS) exploits the reciprocity principle of light propagation (ie, the
Helmholtz reciprocity) for 3D reconstruction of surfaces with arbitrary reflectance. In this …