Faezeh Sadat Zakeri
Papers
1
Total Citations
4
H-Index
1
About
Faezeh Sadat Zakeri is a researcher in computational imaging and computer vision, with a primary focus on light-field technology and its applications in immersive media. Her key research areas include light-field reconstruction, dense light-field datasets, and non-planar imaging geometries. Zakeri’s most notable contribution is the development of the "Non-Planar Inside-Out Dense Light-Field Dataset and Reconstruction Pipeline," a pioneering work that provides a precise, dense light-field dataset specifically designed for non-planar capture configurations. This work addresses critical gaps in evaluating and developing reconstruction algorithms for virtual reality and augmented reality experiences. With 4 citations, her research has laid foundational groundwork for advancing light-field imaging beyond traditional planar setups, enabling more realistic and immersive user interactions. Zakeri’s contributions are particularly significant for researchers and engineers working on next-generation VR/AR systems, where accurate light-field data is essential for creating convincing depth and perspective. Her work exemplifies the intersection of hardware design and algorithmic innovation, pushing the boundaries of how we capture and reproduce visual reality.
Research Focus
Key Achievements
Top Papers
- 1