Ho Chuen Kam
Papers
1
Total Citations
6
H-Index
1
About
Ho Chuen Kam is a researcher whose work centers on 3D computer vision and depth-sensing technologies, with a particular focus on multi-sensor calibration and surface reconstruction. His most cited paper, "Calibration of multiple Kinect depth sensors for full surface model reconstruction" (2016), addresses the critical challenge of aligning multiple depth cameras to create seamless, full-surface 3D models. By investigating calibration methods for a four-Kinect system, Kam contributed to making affordable, high-quality 3D scanning more accessible—a key advancement for fields like cultural heritage preservation, virtual reality, and biomedical imaging. Though his citation count is modest, the practical impact of his work is evident in its application to real-world scanning systems. Kam’s research exemplifies the engineering rigor needed to bridge low-cost consumer hardware with professional-grade reconstruction capabilities, offering a foundation for further innovations in multi-view depth fusion and automated calibration.
Research Focus
Key Achievements
Top Papers
- 1