What is he best known for?
The fields of study Hugues Hoppe is best known for:
- Computer graphics (images)
- Algorithm
- Mesh generation
Hugues Hoppe is involved in relevant fields of research such as Set (abstract data type) and Solver in the domain of Programming language.
His research links Programming language with Set (abstract data type).
He undertakes multidisciplinary studies into Computer graphics (images) and Computer graphics in his work.
Computer graphics and Computer graphics (images) are two areas of study in which Hugues Hoppe engages in interdisciplinary research.
His Geometry study frequently links to other fields, such as Grid.
Hugues Hoppe performs integrative Polygon mesh and Point cloud research in his work.
Hugues Hoppe performs integrative study on Point cloud and Polygon mesh.
The study of Computer vision is intertwined with the study of Frame rate in a number of ways.
The study of Frame rate is intertwined with the study of Computer vision in a number of ways.
His most cited work include:
- Screened poisson surface reconstruction (1292 citations)
- Digital photography with flash and no-flash image pairs (850 citations)
- Fast exact and approximate geodesics on meshes (398 citations)
What are the main themes of his work throughout his whole career to date
Hugues Hoppe is exploring Image (mathematics) as part of his Image processing and Image texture and Image (mathematics) studies.
His Image processing study frequently links to other fields, such as Image (mathematics).
Hugues Hoppe's looking at Rendering (computer graphics) as part of his Real-time rendering and Shader and Rendering (computer graphics) study.
His work often combines Real-time rendering and Rendering (computer graphics) studies.
His Programming language study frequently draws connections between adjacent fields such as Solver and Set (abstract data type).
His study on Computer vision is mostly dedicated to connecting different topics, such as Point cloud.
His Computer vision research extends to the thematically linked field of Point cloud.
His work often combines Computer graphics (images) and Pixel studies.
Hugues Hoppe conducts interdisciplinary study in the fields of Pixel and Computer graphics (images) through his works.
Hugues Hoppe most often published in these fields:
- Computer vision (71.43%)
- Computer graphics (images) (66.67%)
- Artificial intelligence (61.90%)
What were the highlights of his more recent work (between 2017-2021)?
- Computer vision (100.00%)
- Artificial intelligence (80.00%)
- Computer graphics (images) (60.00%)
In recent works Hugues Hoppe was focusing on the following fields of study:
Many of his studies on Computer graphics (images) apply to Rendering (computer graphics) and Computer graphics as well.
Hugues Hoppe integrates Rendering (computer graphics) with Computer graphics (images) in his study.
He combines Computer graphics and Mesh generation in his studies.
His study on Algorithm is mostly dedicated to connecting different topics, such as Resampling and Signed distance function.
His Computer vision study frequently draws connections between related disciplines such as Signed distance function.
Artificial intelligence is often connected to Gesture in his work.
His study on Gesture is mostly dedicated to connecting different topics, such as Computer vision.
His work often combines Geometry and Point (geometry) studies.
He merges Point (geometry) with Geometry in his research.
Between 2017 and 2021, his most popular works were:
- Poisson Surface Reconstruction with Envelope Constraints (28 citations)
- Project starline (19 citations)
- Gradient-domain processing within a texture atlas (15 citations)
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