Biography
Jorg Peters researches modeling and computing with geometry, computer graphics, geometric design, numerical computations and simulations (surgery simulation with force feedback). Jorg's primary research is in graphics and visualization. He is a professor in the Department of Computer and Information Science and Engineer in the College of Engineering.
Areas of Expertise (6)
Data Science
Computer Graphics
Geometric Modeling
Surgery Simulation
Virtual Reality
Machine Learning
Articles (3)
An improved refinement rule for multi-sided faces
Computers & GraphicsKȩstutis Karčiauskas, et. al
2022-02-25
Multi-sided faces arise in polyhedral modeling through introduction of features not aligned with the regular grid structure, e.g. when trimming off corners or merging primary shapes. A standard first step is to split the -gon into quadrilaterals that join at the -gon’s centroid. A canonical example is the ‘face point rule’ of Catmull–Clark subdivision. We show that rules negatively impact shape — already in the single, first refinement step.
Improving hexahedral-FEM-based plasticity in surgery simulation
MICCAIRuiliang Gao, et. al
2021-09-21
Collecting, stretching and tearing soft tissue is common in surgery. These repeated deformations have a plastic component that surgeons take into consideration and that surgical simulation should model. Organs and tissues can often be modeled as curved cylinders or planes, offset orthogonally to form thick shells. A pair of primary directions, e.g., axial and radial for cylinders, then provides a quadrilateral mesh whose offset naturally yields a hexahedral mesh.
A Slice-Traversal Algorithm for Very Large Mapped Volumetric Models
Computer-Aided DesignJeremy Youngquist, et. al
2021-08-25
When the full-scale storing and retrieving of volumetric models is cost prohibitive, intersection queries require intelligent access to pieces generated on demand. To conform to a given curved outer shape without clipping, such models are often the result of a non-linear free-form deformation applied to a geometrically simpler, canonical model. The additional challenge is then to relate the intersection query back to the pieces of the pre-image of the conforming curved model.