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 …

Transparent and semi-transparent materials pose significant challenges for existing scene
understanding and segmentation algorithms due to their lack of RGB texture which impedes …

We present a novel method for efficient acquisition of shape and spatially varying
reflectance of 3D objects using polarization cues. Unlike previous works that have exploited …

State-of-the-art solutions for Shape-from-Polarization (SfP) suffer from a speed-resolution
tradeoff: they either sacrifice the number of polarization angles measured or necessitate …

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

In this paper, we present the first polarization-guided video glass segmentation propagation
solution (PGVS-Net) that can robustly and coherently propagate glass segmentation in RGB …

Indirect time-of-flight (iToF) imaging allows us to capture dense depth information at a low
cost. However, iToF imaging often suffers from multipath interference (MPI) artifacts in the …

Neural implicit surface reconstruction has achieved remarkable progress recently. Despite
resorting to complex radiance modeling, state-of-the-art methods still struggle with …

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 …

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