1.3k citations · 1.7k across the 13 of their papers we have counts for
16 papers
Training and Predicting Visual Error for Real-Time Applications
João Libório Cardoso, Bernhard Kerbl, Lei Yang +2
Visual error metrics play a fundamental role in the quantification of perceived image similarity. Most recently, use cases for them in real-time applications have emerged, such as…
GPU-Accelerated LOD Generation for Point Clouds
Markus Schütz, Bernhard Kerbl, Philip Klaus +1
About: We introduce a GPU-accelerated LOD construction process that creates a hybrid voxel-point-based variation of the widely used layered point cloud (LPC) structure for LOD rend…
Assesment of material layers in building walls using GeoRadar
Ildar Gilmutdinov, Ingrid Schloegel, Alois Hinterleitner +2
Assessing the structure of a building with non-invasive methods is an important problem. One of the possible approaches is to use GeoRadar to examine wall structures by analyzing t…
Software Rasterization of 2 Billion Points in Real Time
Markus Schütz, Bernhard Kerbl, Michael Wimmer
We propose a software rasterization pipeline for point clouds that is capable of brute-force rendering up to two billion points in real time (60fps). Improvements over the state of…
Gaussian Mixture Convolution Networks
Adam Celarek, Pedro Hermosilla, Bernhard Kerbl +2
This paper proposes a novel method for deep learning based on the analytical convolution of multidimensional Gaussian mixtures. In contrast to tensors, these do not suffer from the…
Rendering Point Clouds with Compute Shaders and Vertex Order Optimization
Markus Schütz, Bernhard Kerbl, Michael Wimmer
While commodity GPUs provide a continuously growing range of features and sophisticated methods for accelerating compute jobs, many state-of-the-art solutions for point cloud rende…