D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 58 Citations 41,378 172 World Ranking 1801 National Ranking 995

Research.com Recognitions

Awards & Achievements

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

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.

His most cited work include:

  • Eigenfaces for recognition (12405 citations)
  • Face recognition using eigenfaces (4909 citations)
  • VITS-a vision system for autonomous land vehicle navigation (383 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Artificial intelligence (70.77%)
  • Computer vision (55.38%)
  • Human–computer interaction (16.92%)

What were the highlights of his more recent work (between 2013-2020)?

  • Artificial intelligence (70.77%)
  • Computer vision (55.38%)
  • Augmented reality (13.85%)

In recent papers he was focusing on the following fields of study:

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.

Between 2013 and 2020, his most popular works were:

  • Review Article: Multimodal interaction: A review (211 citations)
  • World-stabilized annotations and virtual scene navigation for remote collaboration (114 citations)
  • Optimizing the Viewing Graph for Structure-from-Motion (72 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

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.

Best Publications

Eigenfaces for recognition

Matthew Turk;Alex Pentland.
Journal of Cognitive Neuroscience (1991)

19265 Citations

Face recognition using eigenfaces

M.A. Turk;A.P. Pentland.
computer vision and pattern recognition (1991)

8040 Citations

Face recognition system

Alex P Pentland;Matthew A. Turk.
(1990)

555 Citations

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)

545 Citations

Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking

Steffen Gauglitz;Tobias Höllerer;Matthew Turk.
International Journal of Computer Vision (2011)

510 Citations

System and method for visually tracking occluded objects in real time

Nebojsa Jojic;Matthew A. Turk.
(2000)

470 Citations

Perceptual user interfaces

Matthew Turk.
Frontiers of human-centred computing, online communities and virtual environments (2001)

398 Citations

Robust hand detection

M. Kolsch;M. Turk.
ieee international conference on automatic face gesture recognition (2004)

396 Citations

Perceptual user interfaces (introduction)

Matthew Turk;George Robertson.
Communications of The ACM (2000)

367 Citations

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)

364 Citations

Best Scientists Citing Matthew Turk

David Zhang

David Zhang

Chinese University of Hong Kong, Shenzhen

Publications: 111

Thomas S. Huang

Thomas S. Huang

University of Illinois at Urbana-Champaign

Publications: 88

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 83

Rama Chellappa

Rama Chellappa

Johns Hopkins University

Publications: 82

Stan Z. Li

Stan Z. Li

Chinese Academy of Sciences

Publications: 80

Shiguang Shan

Shiguang Shan

Chinese Academy of Sciences

Publications: 78

Xiaoou Tang

Xiaoou Tang

Chinese University of Hong Kong

Publications: 76

Xilin Chen

Xilin Chen

Institute Of Computing Technology

Publications: 74

Wen Gao

Wen Gao

Peking University

Publications: 67

Jingyu Yang

Jingyu Yang

Nanjing University of Science and Technology

Publications: 66

Marios Savvides

Marios Savvides

Carnegie Mellon University

Publications: 64

Yun Fu

Yun Fu

Northeastern University

Publications: 57

Peter Corcoran

Peter Corcoran

National University of Ireland, Galway

Publications: 56

Anil K. Jain

Anil K. Jain

Michigan State University

Publications: 56

Mark Billinghurst

Mark Billinghurst

University of South Australia

Publications: 56

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 50

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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