What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Optics
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Computer graphics, Rendering and Graphics hardware.
His study in the field of Image processing, Computer graphics and Statistical model is also linked to topics like Arm muscle and Color depth.
His work carried out in the field of Computer vision brings together such families of science as Animation and Texture memory.
His Computer graphics research is multidisciplinary, incorporating perspectives in 3D reconstruction, Segmentation, Frame rate and Motion capture.
His Rendering research is multidisciplinary, incorporating elements of Wavefront, Ray, Geometrical optics, Data compression and Texture compression.
His Graphics hardware research incorporates elements of Reflection, Feature detection and Real-time computer graphics.
His most cited work include:
- Free-viewpoint video of human actors (501 citations)
- Multiview Imaging and 3DTV (276 citations)
- Data compression for light-field rendering (184 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Artificial intelligence, Computer vision, Computer graphics, Rendering and Visualization.
Artificial intelligence is closely attributed to Perception in his study.
Marcus Magnor regularly ties together related areas like Computer graphics in his Computer vision studies.
His research in 3D computer graphics and Real-time computer graphics are components of Computer graphics.
His work in Computer graphics covers topics such as Video tracking which are related to areas like Motion compensation.
In his research on the topic of Rendering, Tiled rendering is strongly related with Alternate frame rendering.
He most often published in these fields:
- Artificial intelligence (62.82%)
- Computer vision (58.33%)
- Computer graphics (28.53%)
What were the highlights of his more recent work (between 2014-2021)?
- Artificial intelligence (62.82%)
- Computer vision (58.33%)
- Virtual reality (4.49%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Computer vision, Virtual reality, Rendering and Perception.
His research in Artificial intelligence intersects with topics in Visual field and Reference frame.
His research on Computer vision often connects related areas such as Computer graphics.
His biological study spans a wide range of topics, including Immersion, Peripheral vision and Oddball paradigm.
His research integrates issues of HTML5, Codec, Computer graphics and Depth of field in his study of Rendering.
His Perception study integrates concerns from other disciplines, such as Portrait, Deep learning and Face.
Between 2014 and 2021, his most popular works were:
- Video Based Reconstruction of 3D People Models (168 citations)
- Subtle gaze guidance for immersive environments (38 citations)
- An Affordable Solution for Binocular Eye Tracking and Calibration in Head-mounted Displays (38 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Optics
Marcus Magnor mainly investigates Artificial intelligence, Computer vision, Rendering, Pixel and Computer graphics.
His Artificial intelligence study typically links adjacent topics like Perception.
The various areas that Marcus Magnor examines in his Computer vision study include Animation and Reference frame.
His study on Rendering also encompasses disciplines like
- Computer graphics and related Human visual system model,
- Depth of field that intertwine with fields like Global illumination.
His studies deal with areas such as Digital image, Motion compensation, Ray tracing, Refresh rate and Optimization problem as well as Pixel.
His Computer graphics research is multidisciplinary, incorporating elements of Video tracking, Multiview Video Coding, Video compression picture types, Deblurring and Inpainting.
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