A. Zisserman

Papers

Total Citations

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About

Andrew Zisserman is a leading figure in computer vision, whose work has fundamentally shaped modern visual geometry, object recognition, and image understanding. His research spans multiple key areas, including multiple-view geometry, visual tracking, and large-scale image retrieval. Zisserman is best known for co-authoring the seminal textbook *Multiple View Geometry in Computer Vision*, which has become an essential reference for researchers worldwide, and for pioneering work on affine and projective reconstruction from uncalibrated image sequences. His contributions to visual tracking are exemplified by early influential papers such as "Real-time visual tracking for surveillance and path planning" (1992, 17 citations) and "Cooperating motion processes" (1991, 7 citations), which laid groundwork for robust motion analysis. Beyond these, Zisserman's research on object class recognition, texture synthesis, and video indexing has earned him over 100,000 citations, placing him among the most cited scholars in the field. A recipient of the prestigious Marr Prize and a Fellow of the Royal Society, his work continues to inspire advances in autonomous systems, medical imaging, and visual search.