Benjamin Buch
Papers
2
Total Citations
11
H-Index
2
About
Benjamin Buch is a researcher at the intersection of computer graphics, robotics, and new media art. His primary contributions lie in 3D data processing and human-robot interaction, with a focus on bridging the gap between raw sensor data and practical applications. His most cited work, "Triangle-Mesh-Rasterization-Projection (TMRP): An Algorithm to Project a Point Cloud onto a Consistent, Dense and Accurate 2D Raster Image" (2023, 8 citations), introduces a novel method for converting point clouds into high-quality 2D images. This algorithm is crucial for multimodal image fusion, robotic scene analysis, and generating realistic training datasets for deep neural networks, addressing a key challenge in computer vision. Earlier, Buch explored the artistic and cognitive dimensions of robotics with his work "Playing Robot: An Interactive Sound Installation In Human-Robot Interaction Design For New Media Art" (2010, 3 citations). This project exemplifies his interdisciplinary approach, using artistic practice as a methodology for studying situated cognition and computational modeling. By combining technical rigor with creative exploration, Buch’s work demonstrates how algorithmic innovation can serve both practical engineering needs and deeper questions about human-machine interaction.
Research Focus
Key Achievements
Top Papers
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