What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Computer graphics
Enrico Gobbetti focuses on Rendering, Computer graphics, Graphics, Computer graphics and Visualization.
His Rendering research includes elements of Interactive visualization, Polygon mesh, Data structure and Computational science.
His Computer graphics study frequently links to related topics such as Out-of-core algorithm.
His studies deal with areas such as Frame rate, Computer vision, Artificial intelligence, Human–computer interaction and Binary space partitioning as well as Graphics.
The Pixel research he does as part of his general Artificial intelligence study is frequently linked to other disciplines of science, such as Naked eye, therefore creating a link between diverse domains of science.
His Visualization study incorporates themes from Object and Simulation, Haptic technology.
His most cited work include:
- Encyclopedia of Electrical and Electronics Engineering (425 citations)
- BDAM — Batched Dynamic Adaptive Meshes for High Performance Terrain Visualization (184 citations)
- Survey of semi-regular multiresolution models for interactive terrain rendering (146 citations)
What are the main themes of his work throughout his whole career to date?
Enrico Gobbetti mainly investigates Computer graphics, Artificial intelligence, Computer vision, Rendering and Visualization.
His biological study spans a wide range of topics, including Interactive visualization and 3D interaction.
In general Artificial intelligence, his work in Point cloud and Image is often linked to Cultural heritage and Clutter linking many areas of study.
His studies in Computer vision integrate themes in fields like Virtual reality and Stereo display.
His Rendering study combines topics in areas such as Alternate frame rendering, Software rendering and Polygon mesh.
As a part of the same scientific family, Enrico Gobbetti mostly works in the field of Visualization, focusing on Human–computer interaction and, on occasion, Object-oriented programming.
He most often published in these fields:
- Computer graphics (43.78%)
- Artificial intelligence (37.75%)
- Computer vision (35.34%)
What were the highlights of his more recent work (between 2014-2021)?
- Artificial intelligence (37.75%)
- Computer vision (35.34%)
- Computer graphics (43.78%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Computer vision, Computer graphics, Cultural heritage and Computer graphics.
His Artificial intelligence study frequently intersects with other fields, such as Pattern recognition.
His Photometric stereo study in the realm of Computer vision interacts with subjects such as Clutter.
His Computer graphics research is mostly focused on the topic Graphics.
His work in the fields of Shader overlaps with other areas such as Course.
His work carried out in the field of Computer graphics brings together such families of science as 3D reconstruction, Light field, Retargeting and Data science.
Between 2014 and 2021, his most popular works were:
- A Survey of Geometric Analysis in Cultural Heritage (31 citations)
- Omnidirectional image capture on mobile devices for fast automatic generation of 2.5D indoor maps (23 citations)
- Mont’e Scan: Effective Shape and Color Digitization of Cluttered 3D Artworks (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Computer graphics
His primary areas of investigation include Artificial intelligence, Computer vision, Mobile device, Computer graphics and Computer graphics.
Enrico Gobbetti interconnects Bounded function and Graphics in the investigation of issues within Artificial intelligence.
His study in the field of Point cloud and Rendering also crosses realms of Clutter.
His research in Rendering intersects with topics in Voxel, Directed acyclic graph, Data structure and Lossless compression.
Enrico Gobbetti has included themes like 3D reconstruction, Visual perception, Perception, State and Computing Methodologies in his Computer graphics study.
As part of his studies on Computer graphics, Enrico Gobbetti often connects relevant subjects like CUDA.
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