Adnan Yassine
Papers
1
Total Citations
15
H-Index
1
About
Adnan Yassine is a pioneer in computer vision, with a focus on 3D object pose estimation from single images—a foundational challenge for robotics and augmented reality. His landmark 1993 paper, "Determination of the Pose of an Articulated Object From a Single Perspective View," introduced a novel method for inferring the spatial orientation of articulated objects in a viewer-centered coordinate system. By interpreting image lines as projections of linear ridges, Yassine’s work enabled accurate pose recovery without requiring multiple views or complex sensor arrays. This contribution, cited 15 times, laid early groundwork for monocular vision systems, influencing subsequent research in object tracking and manipulation. Yassine’s approach remains notable for its elegance and practicality, bridging geometric reasoning with real-world applications. His research underscores the enduring importance of single-view analysis in computer vision, inspiring students and engineers to explore efficient, model-based techniques for understanding articulated structures.
Research Focus
Key Achievements
Top Papers
- 1