Wilfried Philips
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
Top Papers
- 1Advanced Concepts for Intelligent Vision Systems24 citations · 2017
- 2Visual quality assessment of H.264/AVC compressed laparoscopic video15 citations · 2014
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- 5Computer Vision/Computer Graphics Collaboration Techniques6 citations · 2011
- 6A Novel Laser-Vision Combined Approach to Indoor Robot Pose Estimation3 citations · 2017
- 73D Object Finding Using Geometrical Constraints on Depth Images2 citations · 2015
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- 9Liborg: a lidar-based robot for efficient 3D mapping2 citations · 2017