What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Algorithm
- Computer vision
Mario Botsch focuses on Polygon mesh, Computer graphics, Algorithm, Rendering and Geometry processing.
Mario Botsch performs multidisciplinary study on Polygon mesh and Data structure in his works.
His study connects Geometric modeling and Computer graphics.
His studies in Algorithm integrate themes in fields like Linear system, Shape optimization, Modeling and simulation, Basis function and Robustness.
Mario Botsch has researched Rendering in several fields, including Software rendering, Texture memory, Shading and Computer graphics.
His Geometry processing research is multidisciplinary, incorporating perspectives in Discrete mathematics, Smoothing, Spline, Morphing and 3d scanning.
His most cited work include:
- On Linear Variational Surface Deformation Methods (475 citations)
- Feature sensitive surface extraction from volume data (437 citations)
- Polygon Mesh Processing (327 citations)
What are the main themes of his work throughout his whole career to date?
Mario Botsch mainly investigates Artificial intelligence, Polygon mesh, Computer vision, Virtual reality and Computer graphics.
His work deals with themes such as Machine learning and Pattern recognition, which intersect with Artificial intelligence.
Mario Botsch combines subjects such as Geometric modeling, Morphing, Algorithm, Solver and Robustness with his study of Polygon mesh.
The study incorporates disciplines such as Geometry processing, Mathematical optimization and Finite element method in addition to Algorithm.
His Tracking study in the realm of Computer vision connects with subjects such as Facial motion capture.
His Computer graphics course of study focuses on Polygon and Computational geometry.
He most often published in these fields:
- Artificial intelligence (28.31%)
- Polygon mesh (24.10%)
- Computer vision (21.69%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (28.31%)
- Virtual reality (21.08%)
- Computer vision (21.69%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Virtual reality, Computer vision, Human–computer interaction and Motion capture are his primary areas of study.
Mario Botsch interconnects Machine learning and Pattern recognition in the investigation of issues within Artificial intelligence.
His Virtual reality research integrates issues from Coaching, Immersion and Avatar.
His research integrates issues of Visual perception, Surface and Character in his study of Computer vision.
His Polygon mesh research extends to Character, which is thematically connected.
The various areas that Mario Botsch examines in his Motion capture study include Kinematics and Computer animation.
Between 2016 and 2021, his most popular works were:
- The Impact of Avatar Personalization and Immersion on Virtual Body Ownership, Presence, and Emotional Response (108 citations)
- The effect of avatar realism in immersive social virtual realities (74 citations)
- Facial retargeting with automatic range of motion alignment (33 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Algorithm
- Computer vision
His main research concerns Artificial intelligence, Virtual reality, Computer vision, Realism and Character.
His study in the field of Image processing and Face also crosses realms of Vertex and Forensic facial reconstruction.
His work focuses on many connections between Virtual reality and other disciplines, such as Immersion, that overlap with his field of interest in Metaverse, User experience design and Scalability.
His research in the fields of Motion capture overlaps with other disciplines such as sync.
Mario Botsch has included themes like Computer facial animation, Skinning, Polygon mesh and Retargeting in his Character study.
To a larger extent, Mario Botsch studies Computer graphics with the aim of understanding Polygon mesh.
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