2023
DPS-Net: Deep Polarimetric Stereo Depth Estimation
ICCV 2023poster
Stereo depth estimation usually struggles to deal with textureless scenes for both traditional and learning-based methods due to the inherent dependence on image correspondence matching. In this paper, we propose a novel neural network, i.e., DPS-Net, to exploit both the prior geometric knowledge an…