A5081530811- Computer Graphics and Visualization Techniques
- Advanced Numerical Analysis Techniques
- 3D Shape Modeling and Analysis
- Advanced Vision and Imaging
- Computational Geometry and Mesh Generation
- Medical Image Segmentation Techniques
- Manufacturing Process and Optimization
- Video Analysis and Summarization
- Algebraic and Geometric Analysis
- Infrared Target Detection Methodologies
- Dynamics and Control of Mechanical Systems
- Advanced Optical Sensing Technologies
- Physics and Engineering Research Articles
- Video Surveillance and Tracking Methods
- AI in cancer detection
- Advanced Measurement and Detection Methods
- Engineering and Materials Science Studies
- Advanced Theoretical and Applied Studies in Material Sciences and Geometry
- Opportunistic and Delay-Tolerant Networks
- Electromagnetic Scattering and Analysis
- Scientific Research and Discoveries
- Robotic Mechanisms and Dynamics
Max Planck Institute for Informatics
2014-2016
Max Planck Society
2014
University Hospital Magdeburg
2013
Otto-von-Guericke University Magdeburg
2010-2013
Particle-based representations of radiance fields such as 3D Gaussian Splatting have found great success for reconstructing and re-rendering complex scenes. Most existing methods render particles via rasterization, projecting them to screen space tiles processing in a sorted order. This work instead considers ray tracing the particles, building bounding volume hierarchy casting each pixel using high-performance GPU hardware. To efficiently handle large numbers semi-transparent we describe...
Abstract Stream surfaces are a well‐studied and widely used tool for the visualization of 3D flow fields. Usually, stream surface seeding is carried out manually in time‐consuming trial error procedures. Only recently automatic selection methods were proposed. Local support set surfaces, but, contrary to global methods, they evaluate only quality lines but not whole surfaces. Global on other hand, single optimal until now. However, certain fields sufficient represent all features. In our...
Abstract Stream surfaces are well‐known and widely‐used structures for 3D flow visualization. A single surface can be sufficient to represent important global characteristics. Unfortunately, due the huge space of possible stream surfaces, finding globally most representative turns out a hard task that is usually performed by time‐consuming manual trial error exploration using slight modifications seed geometries. To assist users we propose new selection method acts as an automatic...
Abstract In flow visualization, integral surfaces rapidly tend to expand, fold and produce vast amounts of occlusion. While silhouette enhancements local transparency mappings proved useful for semi‐transparent depictions, they still introduce visual clutter when grow more complex. An effective visualization the requires a balance between presentation interesting surface parts avoidance occlusions that hinder view. this paper, we extend concept opacity optimization obtain global approach...
In this article, we study the regularization of quadratic energies that are integrated over discrete domains. This is a fairly general setting, often found in, but not limited to, geometry processing. The standard Tikhonov widely used such that, for instance, low-pass filter enforces smoothness solution. approach, however, independent energy and concrete problem, which leads to artifacts in various applications. Instead, propose low variation problem specific by construction. Essentially,...
We introduce OmniRe, a holistic approach for efficiently reconstructing high-fidelity dynamic urban scenes from on-device logs. Recent methods modeling driving sequences using neural radiance fields or Gaussian Splatting have demonstrated the potential of challenging scenes, but often overlook pedestrians and other non-vehicle actors, hindering complete pipeline scene reconstruction. To that end, we propose comprehensive 3DGS framework named allows accurate, full-length reconstruction...
We propose a method that allows users to define flow features in form of patterns represented as sparse sets stream line segments. Our approach finds similar occurrences the same or other time steps. Related approaches using dense, local stencils support only single are defined sparsely and can have significant extent, i.e., they integration-based not local. This for greater flexibility defining interest. Similarity is measured intrinsic curve properties only, which enables invariance...
Abstract We propose a method that allows users to define flow features in form of patterns represented as sparse sets stream line segments. Our approach finds similar occurrences the same or other time steps. Related approaches using dense, local stencils support only single are defined sparsely and can have significant extent, i.e., they integration‐based not local. This for greater flexibility defining interest. Similarity is measured intrinsic curve properties only, which enables...
This paper applies Poisson-based methods to assist in interactive exploration of steady flow fields. Using data-driven deformations we obtain flow-orthogonal and flow-tangential surfaces by a flux-based optimization. Surfaces are positioned interactively deformed real-time according local flow. The particularly useful for defining seed structures. We show how the same gradient-based computational framework can be applied parametrizations flow-aligned surfaces. way it is easy define...
and its LU factorization (with partial pivoting) be given by A = PT LUR. The matrices P R are permutations (R I in the first iteration), L U lower upper triangular. goal of update is to reuse this known for derivation an RBF linear system that extended m new centers which has form A′ Φ0,0 Φ1,0 Π0 Φ1,1 Π1 Π T 1 0 .
Particle-based representations of radiance fields such as 3D Gaussian Splatting have found great success for reconstructing and re-rendering complex scenes. Most existing methods render particles via rasterization, projecting them to screen space tiles processing in a sorted order. This work instead considers ray tracing the particles, building bounding volume hierarchy casting each pixel using high-performance GPU hardware. To efficiently handle large numbers semi-transparent we describe...
3D Gaussian Splatting (3DGS) has shown great potential for efficient reconstruction and high-fidelity real-time rendering of complex scenes on consumer hardware. However, due to its rasterization-based formulation, 3DGS is constrained ideal pinhole cameras lacks support secondary lighting effects. Recent methods address these limitations by tracing volumetric particles instead, however, this comes at the cost significantly slower speeds. In work, we propose Unscented Transform (3DGUT),...
Harmonic surface deformation is a well-known geometric modeling method that creates plausible deformations in an interactive manner. However, this susceptible to artifacts, particular close the handles. These artifacts often correlate with strong gradients of energy.In work, we propose novel formulation harmonic deformation, which incorporates regularization energy. To do so, build on and extend recently introduced generic linear approach. It can be expressed as change norm for optimization...