Philip F. McLauchlan
University of Surrey, University of Oxford, University of Sheffield
Papers
7
Total Citations
60
H-Index
4
About
Philip F. McLauchlan is a pioneer in active vision systems and real-time 3D reconstruction, whose work has significantly advanced how machines perceive and interact with dynamic environments. His core research spans active vision, structure-from-motion, and sensor integration—fields where he has developed complete systems from low-level feature extraction to high-level 3D model building. His most influential work, "Hardware development of the Yorick series of active vision systems" (22 citations), established a foundational platform for real-time gaze control, enabling cameras to track moving objects through saccades and smooth pursuit. In "Surface-Based Structure-from-Motion using Feature Groupings" (17 citations), McLauchlan introduced a novel matching algorithm that groups features along object boundaries, allowing for robust 3D reconstruction of indoor environments. He also made key contributions to error analysis in motion estimation, deriving how camera motion perturbations affect the epipolar constraint. His work on the Pipe-group architecture and stereo vision for AGV control demonstrates a career-long commitment to practical, real-time vision systems. McLauchlan’s research remains essential reading for anyone building autonomous systems that must see, track, and understand the world in motion.
Research Focus
Key Achievements
Top Papers
- 1Hardware development of the Yorick series of active vision systems22 citations · 1998
- 2Surface-Based Structure-from-Motion using Feature Groupings17 citations · 2000
- 3
- 4Error Propogation from Camera Motion to Epipolar Constraint5 citations · 2000
- 5The Pipe-group Architecture for Real-Time Active Vision3 citations · 1997
- 6Developing a stereo vision system for control of an AGV2 citations · 1991
- 7