2023 - Research.com Computer Science in United Kingdom Leader Award
The scientist’s investigation covers issues in Nuclear physics, Particle physics, Large Hadron Collider, Artificial intelligence and Atlas detector. His studies deal with areas such as Boson and Higgs boson as well as Nuclear physics. Christopher J. Taylor interconnects Atlas and Lepton in the investigation of issues within Particle physics.
His Large Hadron Collider study combines topics from a wide range of disciplines, such as Supersymmetry, Atlas, Monte Carlo method and Invariant mass. His Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition. The concepts of his Atlas detector study are interwoven with issues in Transverse momentum, Pseudorapidity, Photon, Collision and Elliptic flow.
Christopher J. Taylor focuses on Artificial intelligence, Nuclear physics, Particle physics, Large Hadron Collider and Computer vision. In his study, which falls under the umbrella issue of Artificial intelligence, Face, Facial recognition system and Pixel is strongly linked to Pattern recognition. Christopher J. Taylor has included themes like Atlas and Atlas in his Nuclear physics study.
Much of his study explores Particle physics relationship to Lepton. Christopher J. Taylor works mostly in the field of Large Hadron Collider, limiting it down to concerns involving Quantum chromodynamics and, occasionally, Rapidity. He combines subjects such as Algorithm, Shape analysis and Point distribution model with his study of Active shape model.
Christopher J. Taylor mainly focuses on Nuclear physics, Particle physics, Large Hadron Collider, Atlas detector and Lepton. The various areas that Christopher J. Taylor examines in his Nuclear physics study include Atlas and Atlas. His biological study spans a wide range of topics, including Standard Model, Proton and Luminosity.
The Large Hadron Collider study combines topics in areas such as Invariant mass, Hadron, Quantum chromodynamics and Higgs boson. His Atlas detector research integrates issues from Transverse momentum, Pseudorapidity, Photon, Collision and Elliptic flow. His work carried out in the field of Lepton brings together such families of science as Minimal Supersymmetric Standard Model, Pion and Neutrino.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Active appearance models
T.F. Cootes;G.J. Edwards;C.J. Taylor.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2001)
Use of active shape models for locating structures in medical images
Timothy F. Cootes;Andrew Hill;Christopher J. Taylor;J. Haslam.
Image and Vision Computing (1994)
Active shape models - 'Smart Snakes'.
Timothy F. Cootes;Christopher J. Taylor.
british machine vision conference (1992)
Toward automatic simulation of aging effects on face images
A. Lanitis;C.J. Taylor;T.F. Cootes.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)
Automatic interpretation and coding of face images using flexible models
A. Lanitis;C.J. Taylor;T.F. Cootes.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1997)
Training Models of Shape from Sets of Examples
Timothy F. Cootes;Christopher J. Taylor;David H. Cooper;Jim Graham.
british machine vision conference (1992)
Interpreting face images using active appearance models
G.J. Edwards;C.J. Taylor;T.F. Cootes.
ieee international conference on automatic face and gesture recognition (1998)
View-based active appearance models
Timothy F. Cootes;Gavin V. Wheeler;Kevin N. Walker;Christopher J. Taylor.
Image and Vision Computing (2002)
Automatic face identification system using flexible appearance models
Andreas Lanitis;Christopher J. Taylor;Timothy F. Cootes.
Image and Vision Computing (1995)
Statistical models of appearance for medical image analysis and computer vision
Timothy F. Cootes;Christopher J. Taylor.
Medical Imaging: Image Processing;SPIE; 2001. (2001)
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