Stefanos Astaras
Papers
1
Total Citations
13
H-Index
1
About
Stefanos Astaras is a researcher focused on computer vision and depth perception, with a particular emphasis on monocular depth estimation—a challenging problem in the field. His most-cited work, "Depth estimation in still images and videos using a motionless monocular camera" (2016, 13 citations), introduces a novel method that eliminates the need for reference objects or ground marks, relying instead on a one-off object for horizon line detection. This contribution simplifies depth estimation from a single camera, offering practical advantages for applications in robotics, autonomous navigation, and augmented reality where stereo or motion-based systems are infeasible. Astaras’s approach reduces computational complexity and hardware requirements, making depth sensing more accessible. While his citation count reflects a focused but impactful contribution, his work stands out for its innovative solution to a core problem in 3D scene understanding. For students and researchers exploring efficient depth estimation techniques, Astaras’s method provides a streamlined alternative that challenges conventional reliance on multiple cameras or active sensors, highlighting his role in advancing practical computer vision solutions.
Research Focus
Key Achievements
Top Papers
- 1