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Photometric-Stereo-Based Defect Detection System for Metal Parts
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/gmip.1995.1032openalex-snapshot
Estimating the Parameters of an Illumination Model Using Photometric Stereo
inferredcites →https://doi.org/10.1007/978-3-030-01240-3_1openalex-snapshot
PS-FCN: A Flexible Learning Framework for Photometric Stereo
inferredcites →https://doi.org/10.1007/978-3-030-01267-0_1openalex-snapshot
CNN-PS: CNN-Based Photometric Stereo for General Non-convex Surfaces
inferredcites →https://doi.org/10.1007/978-3-030-01270-0_10openalex-snapshot
AutoLoc: Weakly-Supervised Temporal Action Localization in Untrimmed Videos
inferredcites →https://doi.org/10.1007/978-3-030-58568-6_44openalex-snapshot
What Is Learned in Deep Uncalibrated Photometric Stereo?
inferredcites →https://doi.org/10.1007/978-3-319-14249-4_64openalex-snapshot
Convolutional Neural Networks for Steel Surface Defect Detection from Photometric Stereo Images
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot
SSD: Single Shot MultiBox Detector
inferredcites →https://doi.org/10.1007/978-3-642-19318-7_55openalex-snapshot
Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery
inferredcites →https://doi.org/10.1007/s11263-009-0262-9openalex-snapshot
Median Photometric Stereo as Applied to the Segonko Tumulus and Museum Objects
inferredcites →https://doi.org/10.1007/s11771-016-3350-3openalex-snapshot
Improved Sobel algorithm for defect detection of rail surfaces with enhanced efficiency and accuracy
inferredcites →https://doi.org/10.1016/0146-664x(82)90001-6openalex-snapshot
Obtaining 3-dimensional shape of textured and specular surfaces using four-source photometry
inferredcites →https://doi.org/10.1016/j.imavis.2021.104117openalex-snapshot
Weighted boxes fusion: Ensembling boxes from different object detection models
inferredcites →https://doi.org/10.1016/j.optlaseng.2021.106838openalex-snapshot
Learning inter- and intraframe representations for non-Lambertian photometric stereo
inferredcites →https://doi.org/10.1016/j.patrec.2006.03.009openalex-snapshot
Automatic thresholding for defect detection
inferredcites →https://doi.org/10.1016/j.vrih.2020.03.001openalex-snapshot
Summary study of data-driven photometric stereo methods
inferredcites →https://doi.org/10.1016/s0168-1699(03)00049-8openalex-snapshot
Image segmentation algorithms applied to wood defect detection
inferredcites →https://doi.org/10.1016/s0262-8856(98)00136-xopenalex-snapshot
Gradient space analysis of surface defects using a photometric stereo derived bump map
inferredcites →https://doi.org/10.1016/s1364-6613(98)01204-2openalex-snapshot
The perception of cast shadows
inferredcites →https://doi.org/10.1109/34.491627openalex-snapshot
Extracting the shape and roughness of specular lobe objects using four light photometric stereo
inferredcites →https://doi.org/10.1109/cvpr.2008.4587771openalex-snapshot
Efficient photometric stereo on glossy surfaces with wide specular lobes
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot
Feature Pyramid Networks for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.557openalex-snapshot
RON: Reverse Connection with Objectness Prior Networks for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot
YOLO9000: Better, Faster, Stronger
inferredcites →https://doi.org/10.1109/cvpr.2018.00644openalex-snapshot
Cascade R-CNN: Delving Into High Quality Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00775openalex-snapshot
Learning to Minify Photometric Stereo
inferredcites →https://doi.org/10.1109/cvpr.2019.00894openalex-snapshot
Self-Calibrating Deep Photometric Stereo Networks
inferredcites →https://doi.org/10.1109/dicta.2013.6691532openalex-snapshot
Sub-Millimeter Crack Detection in Casted Steel Using Color Photometric Stereo
inferredcites →https://doi.org/10.1109/icaiic.2019.8669005openalex-snapshot
Deep learning based 3D defect detection system using photometric stereo illumination
inferredcites →https://doi.org/10.1109/iccv.2003.1238432openalex-snapshot
Incorporating the Torrance and Sparrow model of reflectance in uncalibrated photometric stereo
inferredcites →https://doi.org/10.1109/iccv.2019.00864openalex-snapshot
SPLINE-Net: Sparse Photometric Stereo Through Lighting Interpolation and Normal Estimation Networks
inferredcites →https://doi.org/10.1109/iccvw.2017.66openalex-snapshot
Deep Photometric Stereo Network
inferredcites →https://doi.org/10.1109/icdip.2009.68openalex-snapshot
Steel Surface Defect Detection Using Texture Segmentation Based on Multifractal Dimension
inferredcites →https://doi.org/10.1109/icmtma.2016.109openalex-snapshot
Online Detection Technique of 3D Defects for Steel Strips Based on Photometric Stereo
inferredcites →https://doi.org/10.1109/tim.2018.2858062openalex-snapshot
Fast Defect Inspection Based on Data-Driven Photometric Stereo
inferredcites →https://doi.org/10.1109/tpami.2009.102openalex-snapshot
Shape and Spatially-Varying BRDFs from Photometric Stereo
inferredcites →https://doi.org/10.1109/tpami.2015.2389824openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2019.2962693openalex-snapshot
Single Day Outdoor Photometric Stereo
inferredcites →https://doi.org/10.1109/tpami.2020.3005219openalex-snapshot
Deep Photometric Stereo Networks for Determining Surface Normal and Reflectances
inferredcites →https://doi.org/10.1117/1.oe.52.3.039701openalex-snapshot
Development of an inspection system for planar steel surface using multispectral photometric stereo
inferredcites →https://doi.org/10.1117/12.7972479openalex-snapshot
Photometric Method For Determining Surface Orientation From Multiple Images
inferredcites →https://doi.org/10.1145/360825.360839openalex-snapshot
Illumination for computer generated pictures
inferredcites →https://doi.org/10.1145/563858.563893openalex-snapshot
Models of light reflection for computer synthesized pictures
inferredcites →https://doi.org/10.1177/1729881417703114openalex-snapshot
A surface defects inspection method based on multidirectional gray-level fluctuation
inferredcites →https://doi.org/10.1364/josa.57.001105openalex-snapshot
Theory for Off-Specular Reflection From Roughened Surfaces*
inferredcites →https://doi.org/10.1364/josaa.24.003326openalex-snapshot
Analysis of photometric factors based on photometric linearization
inferredcites →https://doi.org/10.3390/s19224970openalex-snapshot
Improved Visual Inspection through 3D Image Reconstruction of Defects Based on the Photometric Stereo Technique
inferredcites →https://doi.org/10.3390/s22030882openalex-snapshot
Photometric Stereo-Based Defect Detection System for Steel Components Manufacturing Using a Deep Segmentation Network
inferredcites →https://doi.org/10.48550/arxiv.1802.10328openalex-snapshot
Neural Inverse Rendering for General Reflectance Photometric Stereo
inferredcites →https://doi.org/10.5244/c.35.86openalex-snapshot
PS-Transformer: Learning Sparse Photometric Stereo Network using Self-Attention Mechanism
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-49421-5_35openalex-snapshot
Deep Learning-Based Defect Detection System Combining Photometric Stereo and Object Detection
inferred← citeshttps://doi.org/10.1007/978-3-032-02003-1_5openalex-snapshot
Deep Photometric Stereo for Tool Wear Inspection
inferred← citeshttps://doi.org/10.1007/978-981-95-7072-0_44openalex-snapshot
Automated Fabric Defect Detection Using RTMDet: Application in Denim Manufacturing
inferred← citeshttps://doi.org/10.1007/s10845-025-02601-9openalex-snapshot
Use of optical sensors and artificial neural networks for precision measurement and fault detection in metallurgical environments
inferred← citeshttps://doi.org/10.1016/j.aei.2024.102428openalex-snapshot
Deep learning-based inpainting of high dynamic range fringe pattern for high-speed 3D measurement of industrial metal parts
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105633openalex-snapshot
3D reconstruction and measurement of concrete spalling using near-field Photometric stereo and YOLOv8
inferred← citeshttps://doi.org/10.1016/j.dsp.2023.104165openalex-snapshot
A novel image registration-based dynamic photometric stereo method for online defect detection in aluminum alloy castings
inferred← citeshttps://doi.org/10.1016/j.eij.2025.100841openalex-snapshot
Multi-Scale attention and hierarchical feature extraction-based network for metal surface defect detection
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.114315openalex-snapshot
Metal surface defect detection based on Latitude-Longitude light sources
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.116630openalex-snapshot
Structural self-attention GAN-based inpainting of high dynamic range fringe pattern for 3D measurement of metal gear teeth
inferred← citeshttps://doi.org/10.1016/j.optlastec.2026.115492openalex-snapshot
Single-shot 3CCD camera-based defect inspection for curved optical surfaces
inferred← citeshttps://doi.org/10.1016/j.revmat.2026.100246openalex-snapshot
Application and challenges of artificial intelligence technology in ODS steel research: A review
inferred← citeshttps://doi.org/10.1051/mfreview/2025026openalex-snapshot
Photometric stereo for tool wear monitoring: addressing challenges of specular surfaces in sheet metal forming
inferred← citeshttps://doi.org/10.1088/1361-6501/adb0e5openalex-snapshot
Rapid visual detection of laser welding defects in bright stainless steel thin plates
inferred← citeshttps://doi.org/10.1109/cai59869.2024.00272openalex-snapshot
Vision Control for Cable Binding Robot in Offshore and Marine Industry
inferred← citeshttps://doi.org/10.1109/case69030.2026.11704416openalex-snapshot
Shedding Light on Walls: Photometric Stereo for Autonomous Defect Detection
inferred← citeshttps://doi.org/10.1109/ispds62779.2024.10667542openalex-snapshot
Advanced Battery Defect Detection Using VisionMaster: A Deep Learning Approach to Enhance Accuracy and Efficiency
inferred← citeshttps://doi.org/10.1109/ricai68060.2025.11384870openalex-snapshot
Visual Inspection and Classification Algorithm for Thermos Surface Defects Based on Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/srse70977.2026.11694489openalex-snapshot
Unsupervised Wear Region Detection Method for Bearing Rings Driven by Multi-Dimensional Image Fusion
inferred← citeshttps://doi.org/10.1117/12.3026439openalex-snapshot
Multi-scale and attention training of uncalibrated photometric stereo networks
inferred← citeshttps://doi.org/10.1142/s0129156425406527openalex-snapshot
A Low-Contrast Stereoscopic QR Codes Surface Information Reconstruction Method Based on AI Concepts
inferred← citeshttps://doi.org/10.1145/3725949.3725956openalex-snapshot
WTAYOLO: A Detection Model for Weak Scratches on Metal Surfaces
inferred← citeshttps://doi.org/10.1364/oe.496208openalex-snapshot
High dynamic reflection surface 3D reconstruction with sharing phase demodulation mechanism and multi-indicators guided phase domain fusion
inferred← citeshttps://doi.org/10.2139/ssrn.4896769openalex-snapshot
Surface Defect Detection of Laser-Welded Stainless Steel Thin Plates Illuminated by a Colored Light Source
inferred← citeshttps://doi.org/10.24132/csrn.3301.92openalex-snapshot
Detection of Printed Circuit Board Defects with Photometric Stereo and Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/app14177812openalex-snapshot
Enhanced Scratch Detection for Textured Materials Based on Optimized Photometric Stereo Vision and Fast Fourier Transform–Gabor Filtering
inferred← citeshttps://doi.org/10.3390/s23094476openalex-snapshot
Defect Inspection Using Modified YoloV4 on a Stitched Image of a Spinning Tool
inferred← citeshttps://doi.org/10.3390/s24196227openalex-snapshot
Research on Defect Detection Method of Fusion Reactor Vacuum Chamber Based on Photometric Stereo Vision
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