P.H.N. de With
Papers
1
Total Citations
48
H-Index
1
About
P.H.N. de With is a leading figure in computer vision and 3D point cloud processing, with a particular focus on efficient scene representation and mapping. His major contributions lie in developing algorithms for simplifying dense point cloud maps, as demonstrated by his highly cited 2014 work on incremental and batch planar simplification. This research addresses the critical challenge of managing massive 3D data from sensors like LiDAR, enabling faster processing and storage without sacrificing geometric accuracy. With over 48 citations for this seminal paper alone, de With’s work has had a tangible impact on robotics, autonomous navigation, and augmented reality. Beyond this, his broader research spans video coding, medical imaging, and intelligent surveillance systems, reflecting a career dedicated to bridging theoretical innovation with practical applications. His achievements include numerous patents and collaborations with industry, solidifying his reputation as a versatile engineer who advances both fundamental algorithms and real-world systems. For students and researchers, de With’s work exemplifies how careful algorithmic design can unlock new possibilities in spatial understanding and data efficiency.
Research Focus
Key Achievements
Top Papers
- 1Incremental and batch planar simplification of dense point cloud maps48 citations · 2014