What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Computer vision
Thrasyvoulos N. Pappas mainly focuses on Artificial intelligence, Computer vision, Image quality, Image processing and Image texture.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Iterative method and Pattern recognition.
In his study, which falls under the umbrella issue of Pattern recognition, Similarity and Metric is strongly linked to Image retrieval.
His work in the fields of Computer vision, such as Picture processing, overlaps with other areas such as Film density.
His work deals with themes such as Image compression and Human visual system model, which intersect with Image quality.
His work focuses on many connections between Image texture and other disciplines, such as Image resolution, that overlap with his field of interest in Color image and Grayscale.
His most cited work include:
- An adaptive clustering algorithm for image segmentation (558 citations)
- On the numerical solution of the discrete-time algebraic Riccati equation (310 citations)
- Perceptual criteria for image quality evaluation (259 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Image texture and Data compression.
His work on Artificial intelligence deals in particular with Image segmentation, Image processing, Image quality, Image compression and Segmentation.
He regularly links together related areas like Encoder in his Computer vision studies.
His work carried out in the field of Pattern recognition brings together such families of science as Contextual image classification, Texture and Cluster analysis.
His work in Image texture tackles topics such as Image retrieval which are related to areas like Digital image.
His Data compression research focuses on subjects like Distortion, which are linked to Transmission, Wireless, Resource allocation and Video quality.
He most often published in these fields:
- Artificial intelligence (58.33%)
- Computer vision (47.40%)
- Pattern recognition (23.96%)
What were the highlights of his more recent work (between 2012-2021)?
- Artificial intelligence (58.33%)
- Computer vision (47.40%)
- Pattern recognition (23.96%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Computer vision, Pattern recognition, Image texture and Similarity are his primary areas of study.
His Visualization and Image study in the realm of Artificial intelligence interacts with subjects such as Surface geometry, Viewing angle and Sensory substitution.
Electronic imaging is the focus of his Computer vision research.
His Pattern recognition research incorporates elements of Texture and Inpainting.
His studies deal with areas such as Lossless compression and Image retrieval as well as Image texture.
His research in Similarity intersects with topics in Image compression, Steerable filter and Metric.
Between 2012 and 2021, his most popular works were:
- Structural Texture Similarity Metrics for Image Analysis and Retrieval (95 citations)
- Image Analysis: Focus on Texture Similarity (22 citations)
- Local radius index - a new texture similarity feature (17 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Statistics
Thrasyvoulos N. Pappas spends much of his time researching Artificial intelligence, Image texture, Pattern recognition, Computer vision and Texture compression.
Thrasyvoulos N. Pappas is involved in the study of Artificial intelligence that focuses on Visualization in particular.
Thrasyvoulos N. Pappas works mostly in the field of Image texture, limiting it down to topics relating to Image retrieval and, in certain cases, Weighted distance, Norm, Structural similarity and Statistic, as a part of the same area of interest.
His study of Similarity is a part of Pattern recognition.
Thrasyvoulos N. Pappas has included themes like Coding and Auditory feedback in his Computer vision study.
As part of the same scientific family, Thrasyvoulos N. Pappas usually focuses on Texture compression, concentrating on Texture filtering and intersecting with Texture.
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.
