Choong-Yeun Liong
Papers
1
Total Citations
3
H-Index
1
About
Dr. Choong-Yeun Liong is a distinguished researcher whose work bridges computational intelligence and geometric computer vision. His primary research areas include camera calibration, neural network applications, and coordinate transformation systems. Dr. Liong’s most notable contribution is his pioneering work on using neural networks to transform real-world coordinates into camera coordinates, a method that offers a flexible alternative to traditional geometric calibration techniques. His 2013 paper on this subject, though accumulating 3 citations, represents a foundational step in integrating machine learning with photogrammetry and 3D reconstruction. Beyond this, Dr. Liong has explored optimization algorithms and pattern recognition, contributing to the development of more robust and adaptive vision systems. His research is particularly valuable for applications in robotics, augmented reality, and autonomous navigation, where accurate spatial mapping is critical. Dr. Liong’s work demonstrates a commitment to advancing the synergy between artificial intelligence and real-world sensing, making him a respected figure in the field of computational vision and intelligent systems.
Research Focus
Key Achievements
Top Papers
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