Sören Discher

Sören Discher
Universität Potsdam · Faculty of Digital Engineering, Hasso-Plattner-Institute

Master of Science

About

17
Publications
8,082
Reads
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120
Citations
Introduction
Sören Discher currently works at the Faculty of Digital Engineering, Hasso-Plattner-Institute, Universität Potsdam. Sören does research in Software Engineering and Computer Graphics. Their current project is 'Point Clouds.'
Additional affiliations
November 2013 - present
Universität Potsdam
Position
  • Research Assistant
August 2010 - October 2013
Universität Potsdam
Position
  • Student Assistant
Education
October 2010 - October 2013
Universität Potsdam
Field of study
  • IT-Systems Engineering
October 2007 - August 2010
Universität Potsdam
Field of study
  • IT-Systems Engineering

Publications

Publications (17)
Conference Paper
Full-text available
3D point clouds represent an essential category of geodata used in a variety of geoinformation applications and systems. We present a novel, interactive out-of-core rendering technique for massive 3D point clouds based on a layered, multi-resolution kd-tree, whereby point-based rendering techniques are selected according to each point's classificat...
Conference Paper
Full-text available
A large number of statistical indicators (GDP, life expectancy, income, etc.) collected over long periods of time as well as data on historical events (wars, earthquakes, elections, etc.) are published on the World Wide Web. By augmenting statistical outliers with relevant historical occurrences, we provide a means to observe (and predict) the infl...
Article
Full-text available
In this work, we present an approach that uses an established image recognition convolutional neural network for the semantic classification of two-dimensional objects found in mobile mapping 3D point cloud scans of road environments, namely manhole covers and road markings. We show that the approach is capable of classifying these objects and that...
Article
3D point cloud technology facilitates the automated and highly detailed acquisition of real-world environments such as assets, sites, and countries. We present a web-based system for the interactive exploration and inspection of arbitrary large 3D point clouds. Our approach is able to render 3D point clouds with billions of points using spatial dat...
Article
Full-text available
Emerging virtual reality (VR) technology allows immersively exploring digital 3D content on standard consumer hardware. Using in-situ or remote sensing technology, such content can be automatically derived from real-world sites. External memory algorithms allow for the non-immersive exploration of the resulting 3D point clouds on a diverse set of d...
Conference Paper
Emerging virtual reality (VR) technology allows immersively exploring digital 3D content on standard consumer hardware. Using in-situ or remote sensing technology, such content can be automatically derived from real-world sites. External memory algorithms allow for the non-immersive exploration of the resulting 3D point clouds on a diverse set of d...
Article
Full-text available
Ground-penetrating 2D radar scans are captured in road environments for examination of pavement condition and below-ground variations such as lowerings and developing pot-holes. 3D point clouds captured above ground provide a precise digital representation of the road’s surface and the surrounding environment. If both data sources are captured for...
Chapter
Full-text available
Today, landscapes, cities, and infrastructure networks are com-monly captured at regular intervals using LiDAR or image-based remote sensing technologies. The resulting point clouds, representing digital snap-shots of the reality, are used for a growing number of applications, such as urban development, environmental monitoring, and disaster manage...
Conference Paper
Full-text available
3D point cloud technology facilitates the automated and highly detailed digital acquisition of real-world environments such as assets, sites, cities, and countries; the acquired 3D point clouds represent an essential category of geodata used in a variety of geoinformation applications and systems. In this paper, we present a web-based system for th...
Conference Paper
Full-text available
Real-time rendering for 3D point clouds allows for interactively exploring and inspecting real-world assets, sites, or regions on a broad range of devices but has to cope with their vastly different computing capabilities. Virtual reality (VR) applications rely on high frame rates (i.e., around 90 fps as opposed to 30 - 60 fps) and show high sensit...
Article
Real-time rendering for 3D point clouds allows for interactively exploring and inspecting real-world assets, sites, or regions on a broad range of devices but has to cope with their vastly different computing capabilities. Virtual reality (VR) applications rely on high frame rates (i.e., around 90 fps as opposed to 30 - 60 fps) and show high sensit...
Chapter
3D point clouds are a digital representation of our world and used in a variety of applications. They are captured with LiDAR or derived by image-matching approaches to get surface information of objects, e.g., indoor scenes, buildings, infrastructures, cities, and landscapes. We present novel interaction and visualization techniques for heterogene...
Conference Paper
Full-text available
3D point clouds are a digital representation of our world and used in a variety of applications. They are captured with LiDAR or derived by image-matching approaches to get surface information of objects, e.g., indoor scenes, buildings, infrastructures, cities, and landscapes. We present novel interaction and visualiza-tion techniques for heterogen...
Conference Paper
Full-text available
3D-Punktwolken, die mittels LiDAR oder photogrammetrischen Verfahren effizient erzeugt werden können, stellen im Kontext von Geoinformationssystemen eine essentielle Kategorie von Geodaten dar. Echtzeitfähige Rendering-Techniken für 3D-Punktwolken ermöglichen deren interaktive Darstellung und Erkundung. In diesem Beitrag wird gezeigt, wie semantisc...
Poster
Full-text available
Short version for Karl Kraus Young Scientists Award 2015
Conference Paper
Full-text available
Die Nutzung von hoch aufgelösten, räumlich überlappenden und multitemporalen 3D-Punktwolken im Kontext von Geoinformationssystemen stellt hohe Anforderungen an die Leistungsfähigkeit der zugrundeliegenden Software- und Hardwaresysteme. Um angesichts eines weiter zunehmenden Datenaufkommens ein effizientes und wirtschaftliches Arbeiten mit solchen D...

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Projects

Project (1)
Project
Technology related to managing, processing, and visualizing massive 3D and 3+1D point clouds.