Gideon Stein
Papers
2
Total Citations
187
H-Index
2
About
Gideon Stein is a leading figure in computer vision, whose work has fundamentally advanced the field of camera calibration. His research centers on developing robust, practical methods for determining a camera’s internal parameters—a critical step for accurate 3D reconstruction and scene understanding. Stein’s most influential contribution is a novel calibration technique that leverages pure camera rotation, eliminating the need for specialized calibration objects. This approach, detailed in his seminal 2002 paper (143 citations), allows for both precise laboratory calibration and convenient self-calibration in the field, significantly broadening the applicability of the technology. His earlier foundational work from 1993 (44 citations) laid the groundwork for this method, specifically targeting medium to wide-angle lenses. By enabling accurate calibration from simple image sequences, Stein’s research has had a lasting impact on robotics, augmented reality, and autonomous navigation, providing a practical and elegant solution to a core problem in geometric computer vision.
Research Focus
Key Achievements
Top Papers
- 1
- 2Internal Camera Calibration using Rotation and Geometric Shapes44 citations · 1993