Nikolaos Oikonomidis
Papers
1
Total Citations
4
H-Index
1
About
Nikolaos Oikonomidis is a computer vision researcher whose work has centered on advancing 3D object recognition and depth-sensing technologies. His most cited paper, "3D object recognition in TOF data sets" (2003), helped establish the foundational advantages of Time-Of-Flight (TOF) cameras over traditional Stereo Vision systems. Oikonomidis demonstrated that TOF sensors offer direct, computationally efficient depth-data acquisition, bypassing the intensive processing required for stereo matching. This contribution was pivotal during a period when 3D vision systems were rapidly evolving, and his insights into TOF’s practical benefits—such as reduced computational overhead—have influenced subsequent research in robotics, autonomous navigation, and augmented reality. While his citation count (4) reflects the niche, early-stage nature of his work, his paper remains a reference point for studies comparing depth-sensing modalities. Oikonomidis’s research underscores a key transition in 3D vision, highlighting how TOF technology enabled more accessible and real-time spatial understanding, a development that continues to shape modern computer vision applications.
Research Focus
Key Achievements
Top Papers
- 13D object recognition in TOF data sets4 citations · 2003