Dimitrios Tzovaras mainly investigates Artificial intelligence, Computer vision, Pattern recognition, Image processing and Motion estimation. His Artificial intelligence study frequently links to other fields, such as Gait. As a member of one scientific family, Dimitrios Tzovaras mostly works in the field of Computer vision, focusing on Haptic technology and, on occasion, Collision detection and Kinesthetic learning.
Dimitrios Tzovaras has researched Pattern recognition in several fields, including Radon transform and Image retrieval. His studies deal with areas such as Angiocardiography, Heart disease, Iterative reconstruction and Video processing as well as Image processing. In his work, Depth map is strongly intertwined with Motion compensation, which is a subfield of Motion estimation.
Dimitrios Tzovaras spends much of his time researching Artificial intelligence, Computer vision, Human–computer interaction, Pattern recognition and Data mining. Many of his studies involve connections with topics such as Machine learning and Artificial intelligence. Dimitrios Tzovaras mostly deals with Image processing in his studies of Computer vision.
The study incorporates disciplines such as Multimedia and Haptic technology in addition to Human–computer interaction. His research on Motion estimation focuses in particular on Quarter-pixel motion.
Dimitrios Tzovaras mainly focuses on Artificial intelligence, Computer security, Deep learning, Distributed computing and Human–computer interaction. His Artificial intelligence research incorporates themes from Machine learning, Computer vision and Pattern recognition. The Computer security study combines topics in areas such as The Internet, Architecture and Smart grid.
His Architecture study which covers Context that intersects with Interoperability. His Distributed computing research focuses on Quality of service and how it connects with Software-defined networking. Human–computer interaction is closely attributed to Robot in his work.
His scientific interests lie mostly in Artificial intelligence, Deep learning, Computer security, Machine learning and Convolutional neural network. His Artificial intelligence study combines topics from a wide range of disciplines, such as Domain and Big data. His Computer security research includes elements of Use case, Architecture and Profiling.
In the field of Machine learning, his study on Silhouette overlaps with subjects such as Combined approach and Home based. His Convolutional neural network study combines topics in areas such as Representation, Field, Activity recognition and Pose. His Feature learning study in the realm of Pattern recognition interacts with subjects such as Scale.
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.
Use of depth and colour eigenfaces for face recognition
F. Tsalakanidou;D. Tzovaras;M. G. Strintzis.
Pattern Recognition Letters (2003)
Lossless image compression based on optimal prediction, adaptive lifting, and conditional arithmetic coding
N.V. Boulgouris;D. Tzovaras;M.G. Strintzis.
IEEE Transactions on Image Processing (2001)
Object-based coding of stereo image sequences using joint 3-D motion/disparity compensation
D. Tzovaras;N. Grammalidis;M.G. Strintzis.
IEEE Transactions on Circuits and Systems for Video Technology (1997)
Blocking artifact detection and reduction in compressed data
G.A. Triantafyllidis;D. Tzovaras;M.G. Strintzis.
IEEE Transactions on Circuits and Systems for Video Technology (2002)
Gait Recognition Using Compact Feature Extraction Transforms and Depth Information
D. Ioannidis;D. Tzovaras;I.G. Damousis;S. Argyropoulos.
IEEE Transactions on Information Forensics and Security (2007)
Evaluation of multiresolution block matching techniques for motion and disparity estimation
Dimitrios Tzovaras;Michael G. Strintzis;Haralambos Sahinoglou.
Signal Processing-image Communication (1994)
Efficient 3-D model search and retrieval using generalized 3-D radon transforms
P. Daras;D. Zarpalas;D. Tzovaras;M.G. Strintzis.
IEEE Transactions on Multimedia (2006)
3D model search and retrieval using the spherical trace transform
Dimitrios Zarpalas;Petros Daras;Apostolos Axenopoulos;Dimitrios Tzovaras.
EURASIP Journal on Advances in Signal Processing (2007)
3D object retrieval using the 3D shape impact descriptor
Athanasios Mademlis;Petros Daras;Dimitrios Tzovaras;Michael G. Strintzis.
Pattern Recognition (2009)
Can a Virtual Reality Cognitive Training Application Fulfill a Dual Role? Using the Virtual Supermarket Cognitive Training Application as a Screening Tool for Mild Cognitive Impairment
Stelios Zygouris;Dimitrios Giakoumis;Konstantinos Votis;Stefanos Doumpoulakis.
Journal of Alzheimer's Disease (2015)
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