2023 - Research.com Computer Science in United Kingdom Leader Award
2006 - IAPR King-Sun Fu Prize
2002 - Distinguished Fellow of the British Machine Vision Association (BMVA)
2000 - Fellow of the Royal Academy of Engineering (UK)
1998 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision and pattern recognition, and for outstanding leadership in IAPR
Josef Kittler focuses on Artificial intelligence, Pattern recognition, Computer vision, Algorithm and Machine learning. His work on Artificial intelligence deals in particular with Image processing, Pattern recognition, Facial recognition system, Image and Pixel. His Pattern recognition study frequently draws connections between adjacent fields such as Feature.
His studies in Algorithm integrate themes in fields like Probabilistic logic, Edge detection and Relaxation. The study incorporates disciplines such as Contextual image classification and Feature in addition to Feature extraction. Josef Kittler combines subjects such as Decision theory and Fusion with his study of Classifier.
His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Computer vision, Facial recognition system and Machine learning. His study in Face, Feature extraction, Image, Image processing and Classifier falls under the purview of Artificial intelligence. He regularly links together related areas like Feature in his Pattern recognition studies.
His research integrates issues of Invariant and Biometrics in his study of Facial recognition system. His biological study spans a wide range of topics, including Speech recognition and Data mining. His Machine learning study typically links adjacent topics like Context.
Josef Kittler spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Discriminative model and Facial recognition system. His work investigates the relationship between Artificial intelligence and topics such as Machine learning that intersect with problems in Key. The Pattern recognition study combines topics in areas such as Subspace topology, Focus, Feature and Regularization.
His Discriminative model study combines topics in areas such as Video tracking, Matrix, Classifier, Contextual image classification and Least squares. The concepts of his Video tracking study are interwoven with issues in Artificial neural network, Filter, Feature selection and Source code. His studies deal with areas such as Margin, Invariant and Dictionary learning as well as Facial recognition system.
His primary areas of study are Artificial intelligence, Computer vision, Pattern recognition, Facial recognition system and Face. His research related to Robustness, Feature extraction, Video tracking, Landmark and Discriminative model might be considered part of Artificial intelligence. Josef Kittler usually deals with Computer vision and limits it to topics linked to Invariant and Covariance, Model selection and Mixture model.
His work on Training set as part of general Pattern recognition study is frequently connected to Minority class, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Facial recognition system research includes elements of Representation, Matrix, Deep learning and Regression. His Face research also works with subjects such as
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On combining classifiers
J. Kittler;M. Hatef;R.P.W. Duin;J. Matas.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1998)
J. Kittler;M. Hater;R.P.W. Duin.
international conference on pattern recognition (1996)
Pattern recognition : a statistical approach
Pierre A. Devijver;Josef Kittler.
Floating search methods in feature selection
P. Pudil;J. Novovičová;J. Kittler.
Pattern Recognition Letters (1994)
A survey of the Hough transform
J. Illingworth;J. Kittler.
Graphical Models /graphical Models and Image Processing /computer Vision, Graphics, and Image Processing (1988)
Minimum error thresholding
J. Kittler;J. Illingworth.
Pattern Recognition (1986)
XM2VTSDB: The Extended M2VTS Database
K. Messer;J. Matas;J. Kittler;Juergen Luettin.
Proc. Second International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA'99) (1999)
Multiple Classifier Systems
Nikunj C. Oza;Robi. Polikar;Josef. Kittler;Fabio. Roli.
Comparative study of Hough transform methods for circle finding
H. K. Yuen;J. Princen;J. Illingworth;J. Kittler.
Image and Vision Computing (1990)
The Adaptive Hough Transform
J. Illingworth;J. Kittler.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1987)
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