About
R.T. Wiersma is a researcher affiliated with the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology, specializing in Computer Graphics and Visualisation. Their work bridges computer science, applied mathematics, and computational geometry.
Research interests include:
- Geometric deep learning
- 3D surface analysis
- Computer vision for cultural heritage
- High-performance computing algorithms
- Neural network adaptation for geometric data
Recent publications demonstrate expertise in:
- Intrinsic learning on curved surfaces
- Geometric multigrid methods
- Art restoration through computational imaging
- Vanishing point detection in computer vision
Active collaborations with researchers like E. Eisemann and K. Hildebrandt highlight their contributions to algorithm development and computational art analysis.
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