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.
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