What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Optics
Marc Levoy spends much of his time researching Artificial intelligence, Computer vision, Computer graphics, Rendering and Light field.
His Artificial intelligence study focuses mostly on Computer graphics, Voxel, Surfel, Image quality and Range.
His biological study spans a wide range of topics, including Volume ray casting and Volume rendering.
His Computer vision research includes themes of Vector quantization and Algorithm.
His studies in Computer graphics integrate themes in fields like Synthetic aperture radar, Frame rate, Digital image and Polygon.
His research in Light-field camera focuses on subjects like Interpolation, which are connected to Image warping.
His most cited work include:
- Light field rendering (3195 citations)
- Efficient variants of the ICP algorithm (2716 citations)
- A volumetric method for building complex models from range images (2340 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Computer graphics, Rendering and Optics.
Marc Levoy integrates Artificial intelligence and Geography in his research.
His Computer vision research is multidisciplinary, incorporating elements of Photography and Aperture.
His Computer graphics research incorporates themes from Visualization and Polygon.
His studies deal with areas such as Data structure and Graphics as well as Rendering.
His research investigates the link between Light field and topics such as Video camera that cross with problems in Interpolation.
He most often published in these fields:
- Artificial intelligence (61.22%)
- Computer vision (60.54%)
- Computer graphics (36.05%)
What were the highlights of his more recent work (between 2011-2021)?
- Computer vision (60.54%)
- Artificial intelligence (61.22%)
- Photography (14.97%)
In recent papers he was focusing on the following fields of study:
His main research concerns Computer vision, Artificial intelligence, Photography, Image resolution and Computational photography.
Marc Levoy interconnects Process, Aperture and Computer graphics in the investigation of issues within Computer vision.
His work on Rendering as part of general Computer graphics research is frequently linked to Focus, bridging the gap between disciplines.
He undertakes interdisciplinary study in the fields of Artificial intelligence and Geography through his works.
As a member of one scientific family, he mostly works in the field of Photography, focusing on Image based and, on occasion, Head.
Marc Levoy has included themes like High dynamic range, WYSIWYG and Image editing in his Computational photography study.
Between 2011 and 2021, his most popular works were:
- Wave optics theory and 3-D deconvolution for the light field microscope (296 citations)
- Burst photography for high dynamic range and low-light imaging on mobile cameras (202 citations)
- Decoupling algorithms from schedules for easy optimization of image processing pipelines (183 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Optics
His scientific interests lie mostly in Computer vision, Artificial intelligence, Light field, Image and Computer graphics.
Marc Levoy regularly links together related areas like Aperture in his Computer vision studies.
His research in Image texture, Texture mapping, Mipmap, Texture synthesis and Projective texture mapping are components of Artificial intelligence.
The Light field study combines topics in areas such as Image resolution and Depth of field.
In the field of Computer graphics, his study on Rendering overlaps with subjects such as Subdivision and Simultaneous localization and mapping.
His work on Angular resolution, Physical optics, Optical sectioning and Ray as part of his general Optics study is frequently connected to Multifocal plane microscopy, thereby bridging the divide between different branches of science.
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