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About

Yau Hee Kho is a researcher specializing in computer vision and robotics, with a focus on omnidirectional imaging and autonomous systems. His major contributions lie in developing novel methods for processing spherical omnidirectional images, particularly for non-single viewpoint sensors. Kho introduced a closed-form unwrapping technique that efficiently transforms distorted omnidirectional views into usable panoramic images, addressing key challenges in calibration and aspect ratio correction. His work on GPU-accelerated processing further enhanced the practicality of these methods for real-time applications. With over 34 citations across his most-cited papers, Kho’s research has influenced fields like surveillance, robotics, and autonomous navigation. Notable achievements include the design of a vision-based autonomous vehicle tracking robot platform, which integrates real-time image processing for tracking and monitoring. His publications, such as the 2013 paper on closed-form unwrapping (11 citations), demonstrate his ability to solve complex geometric problems with elegant mathematical solutions. Kho’s contributions provide foundational tools for researchers working on omnidirectional vision systems, making his work essential for advancing autonomous perception technologies.