Margaret M. Fleck
Papers
1
Total Citations
22
H-Index
1
About
Margaret M. Fleck is a computer scientist whose work bridges computer vision, robotics, and mathematics education. She is best known for her contributions to camera calibration and visual perception, most notably through her influential paper "Robot aerobics: four easy steps to a more flexible calibration" (2002, 22 citations), which introduced a practical, modular algorithm for calibrating both intrinsic and extrinsic camera parameters. This method stands out for its accessibility—it eliminates the need for high-precision calibration targets or complex linear algebra, instead using controlled motions that can be easily adapted by other researchers for their specific applications. Beyond calibration, Fleck has made significant contributions to shape-from-texture and perceptual grouping, advancing how machines interpret visual scenes. Her work is characterized by a focus on simplicity and usability, making complex techniques more approachable for the broader research community. In addition to her research, Fleck is a dedicated educator and author of a widely used textbook on discrete mathematics, reflecting her commitment to making rigorous concepts accessible to students. Her impact is felt both in the practical tools she has provided to the vision community and in the generations of students she has inspired.
Research Focus
Key Achievements
Top Papers
- 1Robot aerobics: four easy steps to a more flexible calibration22 citations · 2002