Jose Ramirez-Herran
Papers
1
Total Citations
2
H-Index
1
About
Jose Ramirez-Herran’s research centers on computer vision and geometric reconstruction, with a particular focus on omni-directional imaging systems. His most cited work, “Space and camera path reconstruction for omni-directional vision” (2007), tackles the fundamental inverse problem of simultaneously reconstructing a 3D scene and the camera’s motion path from omni-directional image sequences. This paper provides sharp, mathematically rigorous conditions under which such reconstruction is uniquely determined—for instance, demonstrating that three scene points are sufficient for uniqueness under specific constraints. While his citation count is modest, the theoretical contributions are significant for advancing structure-from-motion techniques in wide-angle and panoramic imaging. Ramirez-Herran’s work bridges geometry and practical vision applications, offering foundational insights that benefit researchers working on autonomous navigation, robotics, and immersive media. His precise formulation of uniqueness conditions helps clarify the limits and possibilities of omni-directional reconstruction, making his research a valuable reference for those exploring non-conventional camera models.
Research Focus
Key Achievements
Top Papers
- 1Space and camera path reconstruction for omni-directional vision2 citations · 2007