2019 - Fellow of the Royal Academy of Engineering (UK)
His primary areas of investigation include Artificial intelligence, Computer vision, Surface, Animation and Iterative reconstruction. His studies deal with areas such as Transformation and Algorithm as well as Artificial intelligence. His Computer vision study integrates concerns from other disciplines, such as Representation and Computer graphics.
His Surface research is multidisciplinary, relying on both Point set registration, Key, Feature and Pattern recognition. Adrian Hilton interconnects Video tracking and Computer graphics in the investigation of issues within Animation. His Computer animation research incorporates themes from Motion and Facial motion capture.
His primary scientific interests are in Artificial intelligence, Computer vision, Computer graphics, Animation and Surface. Adrian Hilton frequently studies issues relating to Pattern recognition and Artificial intelligence. His work carried out in the field of Pattern recognition brings together such families of science as Histogram and Feature.
His Computer vision research integrates issues from Representation and Computer animation. His study of Character animation is a part of Computer graphics. His Animation study combines topics in areas such as Motion and Facial motion capture.
His main research concerns Artificial intelligence, Computer vision, Pose, Segmentation and Convolutional neural network. Artificial intelligence connects with themes related to Pattern recognition in his study. Computer vision and Representation are frequently intertwined in his study.
His Pose study combines topics from a wide range of disciplines, such as Deep learning, Inference and Joint. His biological study spans a wide range of topics, including Semantics and Unsupervised learning. His studies in Motion capture integrate themes in fields like Animation, Visual hull, Probabilistic logic, Ground truth and Inertial measurement unit.
Adrian Hilton focuses on Artificial intelligence, Computer vision, Representation, Convolutional neural network and Pose. Artificial intelligence is closely attributed to Cuboid in his work. His work deals with themes such as Kinematics and Coherence, which intersect with Computer vision.
His study looks at the relationship between Representation and topics such as Deep learning, which overlap with Inference and State. The study incorporates disciplines such as Virtual reality and Eye movement in addition to Convolutional neural network. His Motion capture study also includes fields such as
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A survey of advances in vision-based human motion capture and analysis
Thomas B. Moeslund;Adrian Hilton;Volker Krüger.
Computer Vision and Image Understanding (2006)
Surface Capture for Performance-Based Animation
J. Starck;A. Hilton.
IEEE Computer Graphics and Applications (2007)
Reliable Surface Reconstructiuon from Multiple Range Images
Adrian Hilton;A. J. Stoddart;John Illingworth;T. Windeatt.
european conference on computer vision (1996)
Marching triangles: range image fusion for complex object modelling
A. Hilton;A.J. Stoddart;J. Illingworth;T. Windeatt.
international conference on image processing (1996)
The i3DPost Multi-View and 3D Human Action/Interaction Database
Nikolaos Gkalelis;Hansung Kim;Adrian Hilton;Nikos Nikolaidis.
conference on visual media production (2009)
Realistic synthesis of novel human movements from a database of motion capture examples
L.M. Tanco;A. Hilton.
workshop on human motion (2000)
Virtual people: capturing human models to populate virtual worlds
A. Hilton;D. Beresford;T. Gentils;R. Smith.
Proceedings Computer Animation 1999 (1999)
Visual Analysis of Humans
Thomas B. Moeslund;Adrian Hilton;Volker Krüger;Leonid Sigal.
Whole-body modelling of people from multiview images to populate virtual worlds
Adrian Hilton;Daniel J. Beresford;Thomas Gentils;Raymond S. Smith.
The Visual Computer (2000)
Registration of multiple point sets
A.J. Stoddart;A. Hilton.
international conference on pattern recognition (1996)
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