Hing Tuen Yau
Papers
1
Total Citations
6
H-Index
1
About
Hing Tuen Yau is a researcher specializing in 3D computer vision and sensor calibration, with a particular focus on low-cost depth sensing technologies. His most notable contribution is the development of calibration methods for multiple Kinect depth sensors, enabling full surface model reconstruction of objects. In his seminal 2016 paper, Yau pioneered a four-Kinect system that synchronized and calibrated multiple sensors to capture complete 3D models from all angles, addressing critical challenges in multi-sensor alignment and depth fusion. This work, with 6 citations, laid foundational techniques for accessible 3D scanning using consumer-grade hardware. Yau’s research bridges the gap between expensive professional 3D scanners and affordable alternatives, making volumetric capture more democratized for applications in digital heritage, virtual reality, and medical imaging. His contributions to multi-sensor calibration protocols have influenced subsequent work in structured light systems and depth camera arrays. By demonstrating that multiple low-cost sensors could achieve high-fidelity reconstructions, Yau opened new pathways for researchers and hobbyists alike to build custom 3D scanning setups, advancing the field of computational photography and geometric modeling.
Research Focus
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Top Papers
- 1