Andrey Vavilin
Papers
1
Total Citations
5
H-Index
1
About
Andrey Vavilin is a researcher specializing in computer vision and 3D reconstruction, with a particular focus on omnidirectional imaging and geometric modeling. His most-cited work, "A geometry-based 3D reconstruction from a single omnidirectional image" (2013), introduces a novel method for recovering real-scale 3D scenes from a single omnidirectional image—a significant departure from prior approaches that only produced scale models. By leveraging geometric constraints in a 3D coordinate system, Vavilin’s technique enables practical applications such as autonomous navigation, virtual reality, and urban planning, where accurate real-world dimensions are essential. Though his citation count (5) is modest, the work demonstrates a clear contribution to solving a long-standing challenge in single-view reconstruction: bridging the gap between theoretical models and real-world utility. Vavilin’s research underscores the importance of geometry-driven methods in computer vision, offering a pathway for efficient 3D scene understanding with minimal input data. His work is particularly relevant for students and researchers exploring omnidirectional vision, computational geometry, and low-cost 3D sensing solutions.
Research Focus
Key Achievements
Top Papers
- 1A geometry-based 3D reconstruction from a single omnidirectional image5 citations · 2013