21 citations · 32 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Real-time Detection of 2D Tool Landmarks with Synthetic Training Data
Bram Vanherle, Jeroen Put, Nick Michiels +1
In this paper a deep learning architecture is presented that can, in real time, detect the 2D locations of certain landmarks of physical tools, such as a hammer or screwdriver. To…
Automatic Camera Control and Directing with an Ultra-High-Definition Collaborative Recording System
Bram Vanherle, Tim Vervoort, Nick Michiels +1
Capturing an event from multiple camera angles can give a viewer the most complete and interesting picture of that event. To be suitable for broadcasting, a human director needs to…