Papers
3
Total Citations
88
H-Index
3
About
Georgios Evangelidis is a researcher whose work spans computer vision, robotics, and human-computer interaction, with a particular focus on head-pose estimation and adaptive 3D sensing. His most cited contribution, "Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions" (2017), has garnered 80 citations and addresses the challenging problem of estimating head orientation under varying illumination, appearance, and pose conditions—critical for applications like social event analysis, driver assistance, and human-robot interaction. This work stands out for its robustness in real-world scenarios, offering a practical solution to a long-standing vision problem. More recently, Evangelidis has explored energy-efficient adaptive 3D sensing (2023), proposing methods to extend depth-sensing range without compromising eye safety, a key concern for autonomous robots and augmented reality. His earlier work includes implementing applications on LEGO Mindstorms for educational robotics (2001), demonstrating a long-standing commitment to making technology accessible. With a research portfolio that bridges theoretical rigor and practical deployment, Evangelidis continues to influence how machines perceive and interact with humans and their environment.
Research Focus
Key Achievements
Top Papers
- 1
- 2Energy-Efficient Adaptive 3D Sensing5 citations · 2023
- 3