4 papers · 1 filter
MSF-Net: Multi-Stage Feature Extraction and Fusion for Robust Photometric Stereo
Shiyu Qin, Zhihao Cai, Kaixuan Wang +2
Photometric stereo is a technique aimed at determining surface normals through the utilization of shading cues derived from images taken under different lighting conditions. Howeve…
Image Gradient-Aided Photometric Stereo Network
Kaixuan Wang, Lin Qi, Shiyu Qin +4
Photometric stereo (PS) endeavors to ascertain surface normals using shading clues from photometric images under various illuminations. Recent deep learning-based PS methods often…
Superpixel Cost Volume Excitation for Stereo Matching
Shanglong Liu, Lin Qi, Junyu Dong +2
In this work, we concentrate on exciting the intrinsic local consistency of stereo matching through the incorporation of superpixel soft constraints, with the objective of mitigati…
RMAFF-PSN: A Residual Multi-Scale Attention Feature Fusion Photometric Stereo Network
Kai Luo, Yakun Ju, Lin Qi +2
Predicting accurate normal maps of objects from two-dimensional images in regions of complex structure and spatial material variations is challenging using photometric stereo metho…