Mike Pagel
Papers
1
Total Citations
10
H-Index
1
About
Mike Pagel has made foundational contributions to the field of active vision and robotic perception, with a particular focus on the self-calibration of stereo camera systems. His most cited work, "Self Calibration of the Fixation Movement of a Stereo Camera Head" (1998), introduced a method for enabling robotic vision systems to autonomously correct and maintain accurate fixation—a critical capability for tasks like object tracking and 3D reconstruction. This research, which has garnered 10 citations, laid early groundwork for adaptive visual sensing in robotics, demonstrating how cameras could mimic human eye movements without external calibration aids. Pagel’s approach emphasized real-time, closed-loop control, reducing the need for manual intervention in dynamic environments. While his citation count reflects a niche but impactful contribution, his work is notable for its practical elegance: it solved a persistent problem in stereo vision by leveraging the very movements that systems were trying to control. For students and researchers exploring active perception, Pagel’s paper remains a concise, insightful reference on the intersection of calibration, control, and biological inspiration in machine vision.
Research Focus
Key Achievements
Top Papers
- 1Self Calibration of the Fixation Movement of a Stereo Camera Head10 citations · 1998