What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Computer graphics
Bernd Bickel mainly investigates Set, Artificial intelligence, Computer vision, Mechanical engineering and Computer graphics.
Throughout his Set studies, Bernd Bickel incorporates elements of other sciences such as Simulation and Deformation.
His study on Face and Rendering is often connected to Texture synthesis as part of broader study in Artificial intelligence.
His study in the field of Motion capture and Matching also crosses realms of Facial geometry.
His study in the field of Inflatable is also linked to topics like Design intent and Computational design.
His research in Computer graphics tackles topics such as Interactive design which are related to areas like Animation.
His most cited work include:
- High-quality single-shot capture of facial geometry (267 citations)
- High-quality passive facial performance capture using anchor frames (235 citations)
- Analysis of human faces using a measurement-based skin reflectance model (223 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Computer vision, Set, Computer graphics and Simulation are his primary areas of study.
His research in the fields of Rendering and Face overlaps with other disciplines such as Facial geometry, Wrinkle and Field.
Bernd Bickel combines subjects such as Animation and Facial expression with his study of Computer vision.
The Computer graphics study combines topics in areas such as Bidirectional reflectance distribution function and Reflectivity.
His Simulation study combines topics from a wide range of disciplines, such as Range, Input device and Polygon mesh.
His research integrates issues of Geometry and Engineering drawing in his study of Object.
He most often published in these fields:
- Artificial intelligence (32.00%)
- Computer vision (31.00%)
- Set (19.00%)
What were the highlights of his more recent work (between 2017-2021)?
- Engineering drawing (11.00%)
- Surface (13.00%)
- Computer vision (31.00%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Engineering drawing, Surface, Computer vision, Artificial intelligence and 3D printing.
His Surface research includes themes of Planar and UV mapping.
His Monocular, Self-shadowing and Global illumination study in the realm of Computer vision interacts with subjects such as Field and Space.
His studies in Artificial intelligence integrate themes in fields like Specular reflection and Task.
His 3D printing research includes elements of Electronic engineering and Scattering, Optics, Radiance.
In general Scattering, his work in Subsurface scattering and Light scattering is often linked to Acceleration linking many areas of study.
Between 2017 and 2021, his most popular works were:
- Learning three-dimensional flow for interactive aerodynamic design (31 citations)
- Programming temporal morphing of self-actuated shells. (20 citations)
- State of the Art on Stylized Fabrication (20 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Computer graphics
The scientist’s investigation covers issues in Process, Domain, Mechanical engineering, Set and UV mapping.
Process is connected with Flow, Aerodynamics, Aerodynamic force, Gaussian process and Parametrization in his research.
His Domain studies intersect with other subjects such as Surface, Mechanical equilibrium and Computational design.
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