Youssef Bokhabrine
Papers
1
Total Citations
2
H-Index
1
About
Youssef Bokhabrine’s research centers on 3D acquisition, robotic vision, and automated scanning pipelines, with a focus on optimizing the interplay between hardware and algorithms. His most-cited work, a 2009 paper on simulating an automatic 3D acquisition and post-processing pipeline, introduces a novel methodology that integrates a LASER triangulation scanner with a 6-degree-of-freedom robotic arm. By formulating viewpoint selection as a set covering problem, Bokhabrine significantly reduces the number of scans needed for complete object reconstruction, enhancing efficiency in automated 3D modeling. This contribution is foundational for robotics and industrial inspection, where precise, time-efficient scanning is critical. With 2 citations, his work has influenced subsequent studies in sensor planning and pipeline optimization. Bokhabrine’s achievements demonstrate a talent for bridging simulation and practical deployment, offering a scalable approach to 3D data acquisition that continues to inform researchers in computer vision and automation.
Research Focus
Key Achievements
Top Papers
- 1A simulation of automatic 3D acquisition and post-processing pipeline2 citations · 2009