Papers
3
Total Citations
14
H-Index
2
About
M. L. Dennis Wong is a researcher specializing in omnidirectional imaging and computer vision, with a focus on the processing and enhancement of spherical and catadioptric images. His major contributions include the development of a closed-form method for unwrapping spherical omnidirectional images acquired through non-single viewpoint sensors, which streamlines the calibration and transformation process for panoramic views. This work, published in 2012, has garnered 8 citations and remains a foundational reference in the field. Wong further advanced the domain by addressing geometric distortions in unwrapped images through custom aspect ratio correction techniques, and by leveraging GPU parallelization to accelerate catadioptric image unwrapping, significantly improving processing efficiency. His research bridges theoretical optics and practical computational methods, enabling more accurate and faster omnidirectional image analysis for applications in robotics, surveillance, and virtual reality. With a citation count reflecting steady impact, Wong’s work is notable for its technical rigor and direct applicability to real-world imaging systems, making him a valuable contributor to the advancement of panoramic vision technologies.
Research Focus
Key Achievements
Top Papers
- 1Closed form spherical omnidirectional image unwrapping8 citations · 2012
- 2Custom aspect ratio correction for unwrapped omnidirectional view images4 citations · 2013
- 3