What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Computer graphics
Erik Reinhard focuses on Artificial intelligence, Computer vision, Computer graphics, High dynamic range and High-dynamic-range imaging.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Tone mapping and Dynamic range.
His study in Display device extends to Computer vision with its themes.
His research in Computer graphics intersects with topics in Tree traversal and Digital image.
Noise reduction, Noise and Pattern recognition is closely connected to Ghosting in his research, which is encompassed under the umbrella topic of High dynamic range.
His Color histogram research is multidisciplinary, incorporating perspectives in Color model, False color, Image gradient, Binary image and Color balance.
His most cited work include:
- Color transfer between images (1770 citations)
- Photographic tone reproduction for digital images (1410 citations)
- High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (981 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer vision, Artificial intelligence, Computer graphics, Rendering and High dynamic range.
His study in Dynamic range, Tone mapping, High-dynamic-range imaging, Human visual system model and Tone reproduction is done as part of Computer vision.
His High-dynamic-range imaging study combines topics in areas such as Range, Session and Image-based lighting.
As part of the same scientific family, Erik Reinhard usually focuses on Artificial intelligence, concentrating on Display device and intersecting with Reduction.
His work on Computer graphics and Graphics as part of general Computer graphics study is frequently linked to Subdivision, therefore connecting diverse disciplines of science.
His research integrates issues of Multimedia and Ray tracing in his study of Rendering.
He most often published in these fields:
- Computer vision (55.63%)
- Artificial intelligence (55.63%)
- Computer graphics (37.75%)
What were the highlights of his more recent work (between 2014-2020)?
- Artificial intelligence (55.63%)
- Computer vision (55.63%)
- Luminance (14.57%)
In recent papers he was focusing on the following fields of study:
Erik Reinhard mainly focuses on Artificial intelligence, Computer vision, Luminance, High dynamic range and Dynamic range.
His work on Segmentation as part of his general Computer vision study is frequently connected to Symmetry, thereby bridging the divide between different branches of science.
His Luminance research includes elements of Object and Graphics.
His work on Tone mapping and High-dynamic-range imaging as part of general High dynamic range study is frequently linked to Context, bridging the gap between disciplines.
His work in Tone mapping addresses subjects such as Color management, which are connected to disciplines such as Gamut, Hue and Tone reproduction.
His studies examine the connections between High-dynamic-range imaging and genetics, as well as such issues in Color balance, with regards to Computer graphics.
Between 2014 and 2020, his most popular works were:
- Colour Mapping: A Review of Recent Methods, Extensions and Applications (30 citations)
- Methods, apparatus, and systems for extended high dynamic range ("hdr") hdr to hdr tone mapping (15 citations)
- A Gamut-Mapping Framework for Color-Accurate Reproduction of HDR Images. (13 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Computer graphics
Erik Reinhard spends much of his time researching Artificial intelligence, Computer vision, High dynamic range, Luminance and Dynamic range.
His work on Human visual system model and Reconstruction algorithm as part of general Artificial intelligence research is often related to Class, Inverse and Operator, thus linking different fields of science.
The Human visual system model study combines topics in areas such as Lightness, High-dynamic-range imaging and Color space.
Erik Reinhard combines subjects such as Video capture, Pixel, Reduction and Ghosting with his study of Reconstruction algorithm.
His study in the field of Image and Tone mapping also crosses realms of Tone and Component.
His Tone mapping research incorporates themes from Gamut, Image processing, Hue, Color management and Tone reproduction.
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