Stephen Khor Wen Hwooi

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About

Stephen Khor Wen Hwooi is a researcher whose work lies at the intersection of computer vision and image processing, with a particular focus on advancing image registration techniques. His most cited contribution, the 2017 study "Enhanced correlation coefficient as a refinement of image registration," systematically evaluates how the Enhanced Correlation Coefficient (ECC) can improve feature-based image registration methods. By testing ECC’s effectiveness across datasets that challenge invariance to scale, rotation, and viewpoint, Khor’s work provides critical insights into refining alignment accuracy in complex visual environments. This research has garnered 6 citations, reflecting its practical relevance for applications in remote sensing, medical imaging, and augmented reality. Khor’s contributions help bridge the gap between theoretical correlation metrics and real-world performance, offering a robust tool for researchers and engineers seeking to enhance image matching reliability. His work underscores a commitment to rigorous empirical validation, making it a valuable reference for those exploring robust registration algorithms in non-ideal conditions.