2020 - ACM Fellow For contributions to face recognition, computer vision, and multimodal interaction
2014 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision and vision based interaction
2013 - IEEE Fellow For contributions to computer vision and perceptual interfaces
2007 - ACM Senior Member
Matthew Turk mainly investigates Artificial intelligence, Computer vision, Facial recognition system, Pattern recognition and Human–computer interaction. In most of his Artificial intelligence studies, his work intersects topics such as Sequence. His work in Computer vision covers topics such as Computer graphics which are related to areas like Seam carving, Relevance and Digital imaging.
His study involves Three-dimensional face recognition and Eigenface, a branch of Facial recognition system. His study on Three-dimensional face recognition is covered under Face detection. His work on Feature vector as part of general Pattern recognition study is frequently linked to Non-negative matrix factorization, bridging the gap between disciplines.
Artificial intelligence, Computer vision, Human–computer interaction, Pattern recognition and Augmented reality are his primary areas of study. Matthew Turk has included themes like Computer graphics and Robustness in his Computer vision study. His studies deal with areas such as Multimedia and Gesture recognition as well as Human–computer interaction.
Pattern recognition is often connected to Embedding in his work. He has researched Augmented reality in several fields, including Eye tracking and Gesture. His study in Three-dimensional face recognition, Eigenface and Face hallucination is carried out as part of his Facial recognition system studies.
His main research concerns Artificial intelligence, Computer vision, Augmented reality, Human–computer interaction and Multimedia. His Artificial intelligence study combines topics in areas such as Wide field and Pattern recognition. His Pattern recognition research incorporates elements of Scale space, Filter, Filter design and Feature.
The study incorporates disciplines such as Computer graphics and Robustness in addition to Computer vision. As a part of the same scientific study, Matthew Turk usually deals with the Augmented reality, concentrating on Gesture and frequently concerns with Vocabulary and Virtual reality. His research investigates the connection with Human–computer interaction and areas like Object which intersect with concerns in Selection.
His primary scientific interests are in Artificial intelligence, Augmented reality, Computer vision, Human–computer interaction and Multimedia. His Artificial intelligence research incorporates themes from Algorithm, Focal length and Pattern recognition. His Artificial neural network research extends to Pattern recognition, which is thematically connected.
His research in Augmented reality intersects with topics in Eye tracking, Rendering and Gesture recognition. His study in the fields of Vanishing point under the domain of Computer vision overlaps with other disciplines such as Calibration. His Multimedia course of study focuses on Gesture and Multimodal interaction and Mobile device.
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.
Eigenfaces for recognition
Matthew Turk;Alex Pentland.
Journal of Cognitive Neuroscience (1991)
Face recognition using eigenfaces
M.A. Turk;A.P. Pentland.
computer vision and pattern recognition (1991)
Face recognition system
Alex P Pentland;Matthew A. Turk.
VITS-a vision system for autonomous land vehicle navigation
M.A. Turk;D.G. Morgenthaler;K.D. Gremban;M. Marra.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1988)
Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking
Steffen Gauglitz;Tobias Höllerer;Matthew Turk.
International Journal of Computer Vision (2011)
System and method for visually tracking occluded objects in real time
Nebojsa Jojic;Matthew A. Turk.
Perceptual user interfaces
Frontiers of human-centred computing, online communities and virtual environments (2001)
Robust hand detection
M. Kolsch;M. Turk.
ieee international conference on automatic face gesture recognition (2004)
Perceptual user interfaces (introduction)
Matthew Turk;George Robertson.
Communications of The ACM (2000)
View-based interpretation of real-time optical flow for gesture recognition
R. Cutler;M. Turk.
ieee international conference on automatic face and gesture recognition (1998)
Profile was last updated on December 6th, 2021.
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