What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Optics
- Statistics
His main research concerns Optics, Stereopsis, Depth perception, Communication and Curvature.
His research integrates issues of Algorithm and Silhouette in his study of Optics.
In his research on the topic of Stereopsis, Psychophysical tests and Spatial relation is strongly related with Visual perception.
His biological study spans a wide range of topics, including Statistics and Fixation.
His multidisciplinary approach integrates Cognitive neuroscience of visual object recognition and Artificial intelligence in his work.
His Artificial intelligence research incorporates themes from Optical illusion and Pattern recognition.
His most cited work include:
- Parts of recognition (1162 citations)
- Perception as Bayesian Inference (892 citations)
- Stereopsis and Stereoblindness (256 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Optics, Artificial intelligence, Computer vision, Perception and Visual perception.
As part of the same scientific family, Whitman Richards usually focuses on Optics, concentrating on Curvature and intersecting with Image processing and Machine vision.
Whitman Richards frequently studies issues relating to Pattern recognition and Artificial intelligence.
Whitman Richards combines subjects such as Complex system, Cognitive psychology, Set and Cognitive science with his study of Perception.
His Visual perception research integrates issues from Psychophysics and Eye movement.
His research investigates the connection between Stereopsis and topics such as Binocular vision that intersect with problems in Depth perception.
He most often published in these fields:
- Optics (30.20%)
- Artificial intelligence (28.19%)
- Computer vision (15.44%)
What were the highlights of his more recent work (between 2006-2019)?
- Theoretical computer science (4.70%)
- Artificial intelligence (28.19%)
- Visual perception (12.08%)
In recent papers he was focusing on the following fields of study:
Whitman Richards mainly investigates Theoretical computer science, Artificial intelligence, Visual perception, Gestalt psychology and RGB color model.
His Artificial intelligence research focuses on Computer vision and how it relates to Subjective constancy.
His study in Visual perception is interdisciplinary in nature, drawing from both Cognitive psychology and Psychophysics.
In Gestalt psychology, he works on issues like Opacity, which are connected to Perception.
His study looks at the relationship between RGB color model and topics such as Transparency, which overlap with Optics, The Imaginary and Transmittance.
His work deals with themes such as Computation, Surface relief, Binocular vision and Fixation, which intersect with Stereopsis.
Between 2006 and 2019, his most popular works were:
- Graph Comparison Using Fine Structure Analysis (41 citations)
- Does monocular visual space contain planes (15 citations)
- Gestalt and phenomenal transparency. (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Optics
- Statistics
His primary areas of investigation include Artificial intelligence, Visual perception, Perception, Computer vision and Stereopsis.
His study in Artificial intelligence focuses on Representation in particular.
Whitman Richards has included themes like Psychophysics, Opacity, Optics and Gestalt psychology in his Visual perception study.
Whitman Richards interconnects Monocular, Observer, Communication and Empirical research in the investigation of issues within Perception.
His Computer vision research incorporates elements of Subjective constancy, Computation and Surface relief.
The study incorporates disciplines such as Monocular vision and Fixation in addition to Stereopsis.
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.
