Polarization in diffractive optics and metasurfaces
Polarization, the path traced by light's electric field vector, appears in all areas of optics. In
recent decades, various technologies have enabled the precise control of light's polarization …
recent decades, various technologies have enabled the precise control of light's polarization …
High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review
High-quality 3D reconstruction is an important topic in computer graphics and computer
vision with many applications, such as robotics and augmented reality. The advent of …
vision with many applications, such as robotics and augmented reality. The advent of …
Glass segmentation using intensity and spectral polarization cues
Transparent and semi-transparent materials pose significant challenges for existing scene
understanding and segmentation algorithms due to their lack of RGB texture which impedes …
understanding and segmentation algorithms due to their lack of RGB texture which impedes …
Polarization multiplexed diffractive computing: all-optical implementation of a group of linear transformations through a polarization-encoded diffractive network
Research on optical computing has recently attracted significant attention due to the
transformative advances in machine learning. Among different approaches, diffractive …
transformative advances in machine learning. Among different approaches, diffractive …
High quality 3D reconstruction based on fusion of polarization imaging and binocular stereo vision
Polarization imaging can retrieve inaccurate objects' 3D shapes with fine textures, whereas
coarse but accurate depths can be provided by binocular stereo vision. To take full …
coarse but accurate depths can be provided by binocular stereo vision. To take full …
Deep polarization cues for transparent object segmentation
Segmentation of transparent objects is a hard, open problem in computer vision.
Transparent objects lack texture of their own, adopting instead the texture of scene …
Transparent objects lack texture of their own, adopting instead the texture of scene …
Depth estimation from camera image and mmwave radar point cloud
We present a method for inferring dense depth from a camera image and a sparse noisy
radar point cloud. We first describe the mechanics behind mmWave radar point cloud …
radar point cloud. We first describe the mechanics behind mmWave radar point cloud …
Shape from polarization for complex scenes in the wild
We present a new data-driven approach with physics-based priors to scene-level normal
estimation from a single polarization image. Existing shape from polarization (SfP) works …
estimation from a single polarization image. Existing shape from polarization (SfP) works …
Nero: Neural geometry and brdf reconstruction of reflective objects from multiview images
We present a neural rendering-based method called NeRO for reconstructing the geometry
and the BRDF of reflective objects from multiview images captured in an unknown …
and the BRDF of reflective objects from multiview images captured in an unknown …
Incorporating physics into data-driven computer vision
Many computer vision techniques infer properties of our physical world from images.
Although images are formed through the physics of light and mechanics, computer vision …
Although images are formed through the physics of light and mechanics, computer vision …