Arjan Kuijper
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View article: Photometric stereo for tool wear monitoring: addressing challenges of specular surfaces in sheet metal forming
Photometric stereo for tool wear monitoring: addressing challenges of specular surfaces in sheet metal forming Open
The progressive forming of sheet metal through stages such as blanking, deep-drawing and ironing is an economically attractive route to complex components. Wear control is decisive for product quality, as it prevents defects and minimizes …
View article: RangeSAM: On the Potential of Visual Foundation Models for Range-View represented LiDAR segmentation
RangeSAM: On the Potential of Visual Foundation Models for Range-View represented LiDAR segmentation Open
Point cloud segmentation is central to autonomous driving and 3D scene understanding. While voxel- and point-based methods dominate recent research due to their compatibility with deep architectures and ability to capture fine-grained geom…
View article: Towards Mobile Deep Venous Function Assessment: An Algorithmic Approach
Towards Mobile Deep Venous Function Assessment: An Algorithmic Approach Open
Venous function assessments of the lower limb vascular bed are currently exclusively performed in medical offices and hospitals, requiring special equipment and trained personnel. Risk factors such as obesity, prolonged periods of sedentar…
View article: Neural Restoration of Greening Defects in Historical Autochrome Photographs Based on Purely Synthetic Data
Neural Restoration of Greening Defects in Historical Autochrome Photographs Based on Purely Synthetic Data Open
The preservation of early visual arts, particularly color photographs, is challenged by deterioration caused by aging and improper storage, leading to issues like blurring, scratches, color bleeding, and fading defects. Despite great advan…
View article: Real-time indexing and visualization of LiDAR point clouds with arbitrary attributes using the M3NO data structure
Real-time indexing and visualization of LiDAR point clouds with arbitrary attributes using the M3NO data structure Open
In previous work, we have presented an approach to index 3D LiDAR point clouds in real time, i.e. while they are being recorded. We have further introduced a novel data structure called M3NO, which allows arbitrary attributes to be indexed…
View article: Converting underwater imaging into imaging in air
Converting underwater imaging into imaging in air Open
The application of imaging devices in underwater environments has become a common practice. Protecting the camera's constituent electric parts against water leads to refractive effects emanating from the water-glass-air transition of light…
View article: Semantic Segmentation of Transparent and Opaque Drinking Glasses with the Help of Zero-shot Learning
Semantic Segmentation of Transparent and Opaque Drinking Glasses with the Help of Zero-shot Learning Open
Segmenting transparent structures in images is challenging since they are difficult to distinguish from the background. Common examples are drinking glasses, which are a ubiquitous part of our lives and appear in many different shapes and …
View article: Improving 6D Object Pose Estimation of metallic Household and Industry Objects
Improving 6D Object Pose Estimation of metallic Household and Industry Objects Open
6D object pose estimation suffers from reduced accuracy when applied to metallic objects. We set out to improve the state-of-the-art by addressing challenges such as reflections and specular highlights in industrial applications. Our novel…
View article: EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation
EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation Open
In industrial applications requiring real-time feedback, such as quality control and robotic manipulation, the demand for high-speed and accurate pose estimation remains critical. Despite advances improving speed and accuracy in pose estim…
View article: Point cloud quality metrics for incremental image-based 3D reconstruction
Point cloud quality metrics for incremental image-based 3D reconstruction Open
Image-based 3D reconstruction is a powerful method for accurately reconstructing an object’s geometry and texture from images. A crucial factor for the accuracy and completeness of the resulting reconstructed model is the choice of poses f…
View article: Inline Wear Detection in High-Speed Progressive Dies Using Photometric Stereo
Inline Wear Detection in High-Speed Progressive Dies Using Photometric Stereo Open
The progressive forming of complex components, including blanking, deep-drawing, and bending, represents an economically efficient sheet metal processing method. Wear control is crucial for ensuring product quality by preventing defects an…
View article: Resource‐Efficient Anomaly Detection in Industrial Control Systems With Quantized Recurrent Variational Autoencoder
Resource‐Efficient Anomaly Detection in Industrial Control Systems With Quantized Recurrent Variational Autoencoder Open
This work presents a novel solution for multivariate time series anomaly detection in industrial control systems (ICSs), specifically tailored for resource‐constrained environments. At its core, the quantized gated recurrent unit variation…
View article: Occlusion Detection for Face Image Quality Assessment
Occlusion Detection for Face Image Quality Assessment Open
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View article: Investigation on Relative Pose Regression for Multi-Camera Setups with Neural Radiance Fields
Investigation on Relative Pose Regression for Multi-Camera Setups with Neural Radiance Fields Open
Neural Radiance Fields (NeRFs) are a novel approach that is being intensively investigated in 3D scene reconstruction and similar fields to overcome challenges of conventional methods. In this paper, we address the problem of estimating mi…
View article: Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation
Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation Open
Convolutional neural networks (CNNs) achieve prevailing results in segmentation tasks nowadays and represent the state-of-the-art for image-based analysis. However, the under- standing of the accurate decision-making process of a CNN is ra…
View article: End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation
End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation Open
6D object pose estimation is the problem of identifying the position and orientation of an object relative to a chosen coordinate system, which is a core technology for modern XR applications. State-of-the-art 6D object pose estimators dir…
View article: Light Path Guided Culling for Hybrid Real-Time Path Tracing
Light Path Guided Culling for Hybrid Real-Time Path Tracing Open
Rendering visually convincing images requires realistic lighting. Path tracing has long been used in offline rendering to produce photorealistic images. While recent hardware advancements allow ray tracing methods to be employed in real-ti…
View article: NeRF-FF: a plug-in method to mitigate defocus blur for runtime optimized neural radiance fields
NeRF-FF: a plug-in method to mitigate defocus blur for runtime optimized neural radiance fields Open
Neural radiance fields (NeRFs) have revolutionized novel view synthesis, leading to an unprecedented level of realism in rendered images. However, the reconstruction quality of NeRFs suffers significantly from out-of-focus regions in the i…
View article: Transparency Distortion Robustness for SOTA Image Segmentation Tasks
Transparency Distortion Robustness for SOTA Image Segmentation Tasks Open
Semantic Image Segmentation facilitates a multitude of real-world applications ranging from autonomous driving over industrial process supervision to vision aids for human beings. These models are usually trained in a supervised fashion us…
View article: Influence of Water Droplet Contamination for Transparency Segmentation
Influence of Water Droplet Contamination for Transparency Segmentation Open
Computer vision techniques are on the rise for industrial applications, like process supervision and autonomous agents, e.g., in the healthcare domain and dangerous environments. While the general usability of these techniques is high, the…
View article: Fast Training Data Acquisition for Object Detection and Segmentation using Black Screen Luminance Keying
Fast Training Data Acquisition for Object Detection and Segmentation using Black Screen Luminance Keying Open
Deep Neural Networks (DNNs) require large amounts of annotated training data for a good performance. Often this data is generated using manual labeling (error-prone and time-consuming) or rendering (requiring geometry and material informat…
View article: One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model
One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model Open
Estimating the 3D shape of an object using a single image is a difficult problem. Modern approaches achieve good results for general objects, based on real photographs, but worse results on less expressive representations such as historic …
View article: Extending 6D Object Pose Estimators for Stereo Vision
Extending 6D Object Pose Estimators for Stereo Vision Open
Estimating the 6D pose of objects accurately, quickly, and robustly remains a difficult task. However, recent methods for directly regressing poses from RGB images using dense features have achieved state-of-the-art results. Stereo vision,…
View article: Fast Training Data Acquisition for Object Detection and Segmentation using Black Screen Luminance Keying
Fast Training Data Acquisition for Object Detection and Segmentation using Black Screen Luminance Keying Open
Deep Neural Networks (DNNs) require large amounts of annotated training data for good performance. Often this data is generated using manual labeling (error-prone and time-consuming) or rendering (requiring geometry and material informatio…
View article: Fish Motion Estimation Using ML-based Relative Depth Estimation and Multi-Object Tracking
Fish Motion Estimation Using ML-based Relative Depth Estimation and Multi-Object Tracking Open
Fish motion is a very important indicator of various health conditions of fish swarms in the fish farming industry. Many researchers have successfully analyzed fish motion information with the help of special sensors or computer vision, bu…
View article: Ubiquitous multi-occupant detection in smart environments
Ubiquitous multi-occupant detection in smart environments Open
Recent advancements in ubiquitous computing have emphasized the need for privacy-preserving occupancy detection in smart environments to enhance security. This work presents a novel occupancy detection solution utilizing privacy-aware sens…