[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 …
GR-PSN: Learning to estimate surface normal and reconstruct photometric stereo images
In this paper, we propose a novel method, namely GR-PSN, which learns surface normals
from photometric stereo images and generates the photometric images under distant …
from photometric stereo images and generates the photometric images under distant …
Photometric-stereo-based defect detection system for metal parts
Y Cao, B Ding, J Chen, W Liu, P Guo, L Huang, J Yang - Sensors, 2022 - mdpi.com
Automated inspection technology based on computer vision is now widely used in the
manufacturing industry with high speed and accuracy. However, metal parts always appear …
manufacturing industry with high speed and accuracy. However, metal parts always appear …
Accurate normal measurement of non-Lambertian complex surface based on photometric stereo
Y Yang, J Liu, Y Ni, C Li, Z Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Photometric stereo network is a popular method for recovering the 3-D surface of objects.
Existing methods, both pixel-or spatial-based, often show poor performance in predicting …
Existing methods, both pixel-or spatial-based, often show poor performance in predicting …
Ms-ps: A multi-scale network for photometric stereo with a new comprehensive training dataset
The photometric stereo (PS) problem consists in reconstructing the 3D-surface of an object,
thanks to a set of photographs taken under different lighting directions. In this paper, we …
thanks to a set of photographs taken under different lighting directions. In this paper, we …
Reddle-net: Reflectance decomposition for directional light estimation
The surfaces of real objects can visually appear to be glossy, matte, or anywhere in
between, but essentially, they display varying degrees of diffuse and specular reflectance …
between, but essentially, they display varying degrees of diffuse and specular reflectance …
Continuous material reflectance map for deep photometric stereo
Solving calibrated photometric stereo under a sparse set of lights is of great interest for real-
world applications. Since neural networks show advantages in dealing with material …
world applications. Since neural networks show advantages in dealing with material …
Deep Semi-calibrated Near-field Photometric Stereo
X Wang, DZ Wen, ZX Jian, LJ Sun, XQ Zhang… - Optics and Lasers in …, 2024 - Elsevier
Light calibration plays a crucial role in near-field photometric stereo for accurate surface
normal estimation. It comprises light position calibration and light intensity calibration. In …
normal estimation. It comprises light position calibration and light intensity calibration. In …
[HTML][HTML] High-Resolution Infrared Reflectance Distribution Measurement Under Variable Temperature Conditions
Y Yang, Y Li, A Huang, F Meng, J Wang, W Dong, Y Li - Sensors, 2024 - mdpi.com
The bidirectional reflectance distribution function (BRDF) can effectively characterize the
reflectance properties of a target, which can be used to correct infrared remote sensing data …
reflectance properties of a target, which can be used to correct infrared remote sensing data …