P. L. Palmer

Surrey Satellite Technology (United Kingdom)

Papers

Total Citations

H-Index

About

P. L. Palmer is a researcher in computer vision and robotics, with a focus on 3D reconstruction, motion estimation, and pose determination. His work addresses fundamental challenges in inferring spatial information from visual data, particularly in structured environments. Palmer's most notable contribution is a complete system for surface-based structure-from-motion (SfM), which introduced a novel matching algorithm that groups features along object boundaries to reconstruct 3D models of indoor scenes. This paper, published in 2000, has garnered 17 citations and demonstrates a practical, integrated approach from feature extraction to model generation. He has also investigated the propagation of errors from camera motion to the epipolar constraint, deriving a relation that quantifies how perturbations in motion parameters affect geometric constraints—a critical insight for robust SfM. Additionally, Palmer has explored heuristic pose estimation for passive targets using global models, contributing to efficient object localization from single images. While his citation counts are modest, his work reflects a systematic and principled approach to core vision problems, with potential applications in autonomous navigation and augmented reality. Palmer's research bridges theoretical error analysis and practical system design, offering valuable lessons for students tackling real-world 3D vision challenges.