Wilfried Philips

Ghent University, iMinds, Universidad Politécnica de Madrid

Papers

9

Total Citations

78

H-Index

5

About

Wilfried Philips is a leading researcher in computer vision, robotics, and intelligent imaging systems, with a particular focus on applications in healthcare, assistive technology, and 3D mapping. His work bridges the gap between advanced vision algorithms and real-world deployment, notably in medical environments where he has pioneered methods for visual quality assessment of compressed laparoscopic video—enabling more efficient storage and transmission for tele-surgery and minimally invasive procedures. Philips has also made significant contributions to assistive robotics, developing visual SLAM systems that provide localization services for visually impaired individuals, and creating robust object-finding algorithms using depth images and geometric constraints. His research on multi-resolution ICP registration for point clouds, based on hierarchical octrees, has advanced the efficient processing of sparse lidar data for 3D mapping, demonstrated through his work on the Liborg robot. With over 24 citations for his work on intelligent vision systems and a consistent record of innovation in robot pose estimation and depth reconstruction using deep convolutional neural networks, Philips has established himself as a key figure in making computer vision more practical, accurate, and accessible for critical applications ranging from surgery to autonomous navigation.

Research Focus

Key Achievements

5
H-Index
9
Papers
78
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Advanced Concepts for Intelligent Vision Systems
24 citations · 2017
📈 Most Prolific Year: 2017 (5 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Ghent University, iMinds, Universidad Politécnica de Madrid

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago