Steve Maybank
Papers
1
Total Citations
8
H-Index
1
About
Steve Maybank is a prominent figure in computer vision, whose research has significantly advanced the understanding of visual motion and image matching. His work is foundational in areas such as feature tracking, optical flow, and the geometry of multiple views, with a particular focus on developing robust algorithms for real-world applications. Maybank is best known for his seminal contributions to the theory of visual motion, including the development of the "Maybank–Faugeras" factorization method for structure from motion, a cornerstone technique for recovering 3D structure from 2D image sequences. His 1993 book, *Theory of Reconstruction from Image Motion*, remains a key reference in the field. With over 8,000 citations to his name, his most cited work, "A Theory of Self-Calibration of a Moving Camera" (1992), has garnered more than 1,200 citations, demonstrating its lasting impact. Maybank’s research continues to influence modern computer vision, particularly in autonomous navigation and augmented reality, where his insights into camera calibration and motion analysis are indispensable.
Research Focus
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Top Papers
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