What is he best known for?
The fields of study he is best known for:
- Optics
- Artificial intelligence
- Computer vision
His scientific interests lie mostly in Optics, Algorithm, Color space, Color difference and Media theory.
His biological study spans a wide range of topics, including Painting and Pointillism.
His Algorithm research includes themes of Monochromator, Chromatic scale, Linear regression and Bandwidth.
The study incorporates disciplines such as Studentized residual, Explained sum of squares, Statistical inference, Confidence interval and Euclidean distance in addition to Color space.
His Confidence interval research integrates issues from Color vision, Lightness, Grayscale, Rotation and Hue.
The various areas that he examines in his Color difference study include Statistics and CIECAM02.
His most cited work include:
- Performance of recent advanced color-difference formulas using the standardized residual sum of squares index (62 citations)
- Spectral color reproduction with six color output (59 citations)
- Empirical modeling of systematic spectrophotometric errors (53 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Artificial intelligence, Computer vision, Optics, Computer graphics and Gamut.
His work in Artificial intelligence addresses issues such as Pattern recognition, which are connected to fields such as Artificial neural network.
As part of his studies on Computer vision, Roy S. Berns often connects relevant areas like Algorithm.
His Optics study integrates concerns from other disciplines, such as Color difference and Painting.
His Computer graphics study combines topics from a wide range of disciplines, such as Luminance and Digital camera.
His work investigates the relationship between Gamut and topics such as Color printing that intersect with problems in Subtractive color.
He most often published in these fields:
- Artificial intelligence (42.72%)
- Computer vision (36.89%)
- Optics (33.98%)
What were the highlights of his more recent work (between 2013-2020)?
- Artificial intelligence (42.72%)
- Optics (33.98%)
- Computer vision (36.89%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Optics, Computer vision, Pattern recognition and Waypoint.
The study of Artificial intelligence is intertwined with the study of Filter in a number of ways.
His Optics study frequently links to other fields, such as Thin film.
His Computer vision study combines topics in areas such as Color difference and Algorithm.
His Algorithm research incorporates themes from Normalization, CIECAM02, Coordinate system, Color space and Chromaticity.
His study looks at the relationship between Pattern recognition and topics such as Spectral sensitivity, which overlap with Spectrophotometry.
Between 2013 and 2020, his most popular works were:
- Extending CIELAB: Vividness, Vab *, depth, Dab *, and clarity, Tab * (15 citations)
- Introducing Wpt (Waypoint): A color equivalency representation for defining a material adjustment transform (8 citations)
- Introducing WLab—Going from Wpt (Waypoint) to a uniform material color equivalency space (5 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Artificial intelligence
- Computer vision
Roy S. Berns spends much of his time researching Computer vision, Artificial intelligence, Spectrophotometry, Hue and Color difference.
While the research belongs to areas of Computer vision, Roy S. Berns spends his time largely on the problem of Algorithm, intersecting his research to questions surrounding Color balance.
His Spectrophotometry research is multidisciplinary, relying on both Kubelka munk, Image plane, Large aperture and Remote sensing.
Roy S. Berns interconnects Lightness, Shadow and Euclidean distance in the investigation of issues within Hue.
His work deals with themes such as Normalization, CIECAM02, Coordinate system, Color space and Chromaticity, which intersect with Color difference.
His research in ICC profile intersects with topics in Color constancy, Standard illuminant, Chromatic adaptation, Color normalization and Observer.
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