21 citations · 37 across the 5 of their papers we have counts for
5 papers
A Comparative Study of 3D Model Acquisition Methods for Synthetic Data Generation of Agricultural Products
Steven Moonen, Rob Salaets, Kenneth Batstone +2
In the manufacturing industry, computer vision systems based on artificial intelligence (AI) are widely used to reduce costs and increase production. Training these AI models requi…
CRISTAL: Real-time Camera Registration in Static LiDAR Scans using Neural Rendering
Joni Vanherck, Steven Moonen, Brent Zoomers +4
Accurate camera localization is crucial for robotics and Extended Reality (XR), enabling reliable navigation and alignment of virtual and real content. Existing visual methods ofte…
Analysis of Training Object Detection Models with Synthetic Data
Bram Vanherle, Steven Moonen, Frank Van Reeth +1
Recently, the use of synthetic training data has been on the rise as it offers correctly labelled datasets at a lower cost. The downside of this technique is that the so-called dom…
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry
Steven Moonen, Bram Vanherle, Joris de Hoog +3
The use of computer vision for product and assembly quality control is becoming ubiquitous in the manufacturing industry. Lately, it is apparent that machine learning based solutio…
Dataset of Industrial Metal Objects
Peter De Roovere, Steven Moonen, Nick Michiels +1
We present a diverse dataset of industrial metal objects. These objects are symmetric, textureless and highly reflective, leading to challenging conditions not captured in existing…