Papers

2

Total Citations

9

H-Index

2

About

I. Kalisperakis is a researcher in photogrammetry, computer vision, and mobile mapping, whose work focuses on advancing 3D reconstruction and spatial data acquisition. A key contribution is the development of a stereo matching algorithm based on the census transformation of image gradients, which enhances accuracy and robustness in challenging environments. This work, published in 2015, has garnered 5 citations and remains relevant for applications where fixed-geometry image acquisition is essential. More recently, Kalisperakis led the design of a modular mobile mapping platform capable of seamlessly operating in both complex indoor and outdoor environments. Built on the Robotics Operating System (ROS), this prototype system demonstrates significant versatility for geospatial data collection, with 4 citations to date. Kalisperakis’s research bridges the gap between traditional photogrammetric methods and modern robotic sensing, offering practical solutions for real-world mapping challenges. Their work is particularly notable for its emphasis on modularity and adaptability, making it a valuable reference for researchers and engineers developing next-generation mobile mapping systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Stereo matching based on census transformation of image gradients
5 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Technological Educational Institute of Athens, Center for Security Studies

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago