[PDF][PDF] Deep Learning Methods for Calibrated Photometric Stereo and Beyond
Photometric stereo recovers the surface normals of an object from multiple images with
varying shading cues, ie, modeling the relationship between surface orientation and …
varying shading cues, ie, modeling the relationship between surface orientation and …
Deep Learning Methods for Calibrated Photometric Stereo and Beyond
Photometric stereo recovers the surface normals of an object from multiple images with
varying shading cues, ie, modeling the relationship between surface orientation and …
varying shading cues, ie, modeling the relationship between surface orientation and …
Summary study of data-driven photometric stereo methods
Background A photometric stereo method aims to recover the surface normal of a 3D object
observed under varying light directions. It is an ill-defined problem because the general …
observed under varying light directions. It is an ill-defined problem because the general …
A dual-cue network for multispectral photometric stereo
Estimating pixel-wise surface normal from a single image is a challenging task but offers
great values to computer vision and robotics applications. By using the spectrally and …
great values to computer vision and robotics applications. By using the spectrally and …
Multispectral photometric stereo for spatially-varying spectral reflectances: A well posed problem?
Multispectral photometric stereo (MPS) aims at recovering the surface normal of a scene
from a single-shot multispectral image, which is known as an ill-posed problem. To make the …
from a single-shot multispectral image, which is known as an ill-posed problem. To make the …
A deep learning based classifier for crack detection with robots in underground pipes
SM Khan, SA Haider, I Unwala - … Quality of Life Using ICT, IoT …, 2020 - ieeexplore.ieee.org
Underground utility pipes especially sewer pipes are prone to develop cracks due to aging,
shifting soil, increased traffic, corrosion, and improper installation. A major challenge for …
shifting soil, increased traffic, corrosion, and improper installation. A major challenge for …
Industry-Fit AI Usage for Crack Detection in Ground Steel
D Soukup, C Kapeller, B Raml, J Ruisz - Electronics, 2022 - mdpi.com
We investigated optimal implementation strategies for industrial inspection systems aiming
to detect cracks on ground steel billets' surfaces by combining state-of-the-art AI-based …
to detect cracks on ground steel billets' surfaces by combining state-of-the-art AI-based …
Multispectral Photometric Stereo for Spatially-Varying Spectral Reflectances
Multispectral photometric stereo (MPS) aims at recovering the surface normal of a scene
measured under multiple light sources with different wavelengths. While it opens up a …
measured under multiple light sources with different wavelengths. While it opens up a …
Face Inverse Rendering via Hierarchical Decoupling
Previous face inverse rendering methods often require synthetic data with ground truth
and/or professional equipment like a lighting stage. However, a model trained on synthetic …
and/or professional equipment like a lighting stage. However, a model trained on synthetic …
A Fast Photometric Stereo Algorithm with Un-calibration Lights for Surface Reconstruction
J Zhang, C Huang, Z Shi - 2021 China Automation Congress …, 2021 - ieeexplore.ieee.org
To solve the problem of complex and time-consuming for light calibration in photometric
stereo vision, a three-dimensional (3D) reconstruction algorithm of photometric stereo vision …
stereo vision, a three-dimensional (3D) reconstruction algorithm of photometric stereo vision …