What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Algorithm
William B. Thompson focuses on Computer vision, Artificial intelligence, Perception, Virtual machine and Optical head-mounted display.
His research integrates issues of Sensory cue and Computer graphics in his study of Computer vision.
His work in the fields of Computer graphics, such as Computer graphics and Graphics, overlaps with other areas such as Quality.
Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Ranging.
William B. Thompson works mostly in the field of Virtual machine, limiting it down to concerns involving Space perception and, occasionally, Adaptation, Cognitive psychology, Embodied perception and Rendering.
His Optical flow research includes themes of Image processing and Optical filter.
His most cited work include:
- Disparity Analysis of Images (749 citations)
- Velocity determination in scenes containing several moving objects (518 citations)
- Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization (332 citations)
What are the main themes of his work throughout his whole career to date?
William B. Thompson mainly focuses on Artificial intelligence, Computer vision, Perception, Cognitive psychology and Optical flow.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Low vision, Computer graphics and Pattern recognition.
His Visual perception study in the realm of Perception connects with subjects such as Action.
His work carried out in the field of Visual perception brings together such families of science as Motion and Virtual reality.
His work deals with themes such as Social psychology, Cognition and Scale, which intersect with Cognitive psychology.
His studies in Optical flow integrate themes in fields like Flow, Algorithm, Edge detection and Structure from motion.
He most often published in these fields:
- Artificial intelligence (49.18%)
- Computer vision (43.17%)
- Perception (25.68%)
What were the highlights of his more recent work (between 2013-2021)?
- Artificial intelligence (49.18%)
- Perception (25.68%)
- Computer vision (43.17%)
In recent papers he was focusing on the following fields of study:
William B. Thompson mainly investigates Artificial intelligence, Perception, Computer vision, Visualization and Human–computer interaction.
His research combines Low vision and Artificial intelligence.
The Space perception research William B. Thompson does as part of his general Perception study is frequently linked to other disciplines of science, such as Absolute scale, therefore creating a link between diverse domains of science.
William B. Thompson combines subjects such as Avatar and Visibility with his study of Computer vision.
In general Visualization study, his work on Data visualization and Creative visualization often relates to the realm of Track and Context, thereby connecting several areas of interest.
As a part of the same scientific family, he mostly works in the field of Human–computer interaction, focusing on Visual perception and, on occasion, Computer graphics.
Between 2013 and 2021, his most popular works were:
- Visual Perception from a Computer Graphics Perspective (72 citations)
- Non-expert interpretations of hurricane forecast uncertainty visualizations (52 citations)
- Egocentric distance perception in the Oculus Rift (DK2) (39 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Algorithm
His primary scientific interests are in Visualization, Perception, Human–computer interaction, Visual perception and Context.
William B. Thompson has researched Visualization in several fields, including Machine learning and Operations research.
His work on Space perception as part of general Perception study is frequently linked to Absolute scale, therefore connecting diverse disciplines of science.
The study incorporates disciplines such as Magnitude, Oculus rift, Oculus and Computer vision in addition to Space perception.
His Visual perception study combines topics from a wide range of disciplines, such as Computer graphics, Communication and Spatial learning.
His study of Context brings together topics like Data mining, Data visualization, Sampling and Artificial intelligence.
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