A
Andrew Zisserman
Researcher at University of Oxford
Publications - 808
Citations - 312028
Andrew Zisserman is an academic researcher from University of Oxford. The author has contributed to research in topics: Convolutional neural network & Real image. The author has an hindex of 167, co-authored 808 publications receiving 261717 citations. Previous affiliations of Andrew Zisserman include University of Edinburgh & Microsoft.
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Proceedings ArticleDOI
Single view metrology
TL;DR: An algebraic representation is developed which unifies the three types of measurement and, amongst other advantages, permits a first order error propagation analysis to be performed, associating an uncertainty with each measurement.
Book ChapterDOI
In Search of Art
TL;DR: The objective of this work is to find objects in paintings by learning object-category classifiers from available sources of natural images.
Proceedings ArticleDOI
Metric calibration of a stereo rig
TL;DR: In this article, a method to determine affine and metric calibration for a stereo rig with fixed parameters is described. But this method does not involve the use of calibration objects or special motions, but simply a single general motion of the rig with a fixed parameters (i.e. camera parameters and relative orientation of the camera pair).
Book ChapterDOI
Navigation using Affine Structure from Motion
TL;DR: It is demonstrated how the affine coordinate frame can be periodically updated to prevent drift over time.
Journal ArticleDOI
ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist.
Amir Jamaludin,Meelis Lootus,Timor Kadir,Andrew Zisserman,Jill P. G. Urban,Michele C. Battié,Jeremy Fairbank,Iain W. McCall +7 more
TL;DR: Automation of radiological grading is now on par with human performance and can be beneficial in aiding clinical diagnoses in terms of objectivity of gradings and the speed of analysis.