R. Richter

发表

Towards The Generation of Digital Twins for Facility Management Based on 3D Point Clouds

J. Döllner, B. Hagedorn, V. Stojanovic, 2018 .

SIMULATING LIDAR TO CREATE TRAINING DATA FOR MACHINE LEARNING ON 3D POINT CLOUDS

J. Döllner, R. Richter, J. Hildebrand, 2022, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Concepts and techniques for integration, analysis and visualization of massive 3D point clouds

Jürgen Döllner, Rico Richter, J. Döllner, 2014, Comput. Environ. Urban Syst..

Out‐of‐Core GPU‐based Change Detection in Massive 3D Point Clouds

Jürgen Döllner, Jan Eric Kyprianidis, Rico Richter, 2013, Trans. GIS.

INTERACTION AND LOCOMOTION TECHNIQUES FOR THE EXPLORATION OF MASSIVE 3D POINT CLOUDS IN VR ENVIRONMENTS

Jürgen Döllner, Sören Discher, Rico Richter, 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Concepts and techniques for web-based visualization and processing of massive 3D point clouds with semantics

Jürgen Döllner, Sören Discher, Rico Richter, 2019, Graph. Model..

COMBINED VISUAL EXPLORATION OF 2D GROUND RADAR AND 3D POINT CLOUD DATA FOR ROAD ENVIRONMENTS

Jürgen Döllner, J. Wolf, Sören Discher, 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

A scalable webGL-based approach for visualizing massive 3D point clouds using semantics-dependent rendering techniques

Jürgen Döllner, Sören Discher, Rico Richter, 2018, Web3D.

Service-Oriented Processing and Analysis of Massive Point Clouds in Geoinformation Management

Matthias Trapp, Jürgen Döllner, Sören Discher, 2018, Lecture Notes in Geoinformation and Cartography.

A Point-Based and Image-Based Multi-Pass Rendering Technique for Visualizing Massive 3D Point Clouds in VR Environments

Jürgen Döllner, Sebastian Schulz, Sören Discher, 2018, J. WSCG.

Out-of-core real-time visualization of massive 3D point clouds

Jürgen Döllner, Rico Richter, J. Döllner, 2010, AFRIGRAPH '10.

Bridge damage: Detection, IFC-based semantic enrichment and visualization

Rade Hajdin, Matthias Trapp, Jürgen Döllner, 2020 .

Out-of-Core Visualization of Classified 3D Point Clouds

Jürgen Döllner, Sören Discher, Rico Richter, 2015 .

Generation of Approximate 2D and 3D Floor Plans from 3D Point Clouds

Matthias Trapp, Jürgen Döllner, Rico Richter, 2019, VISIGRAPP.

Detecting Road Damages in Mobile Mapping Point Clouds using Competitive Reconstruction Networks

J. Döllner, R. Richter, Paul Mattes, 2023, AGILE: GIScience Series.

Techniques for Automated Classification and Segregation of Mobile Mapping 3D Point Clouds

Johannes Wolf, Jürgen Döllner, Rico Richter, 2019, VISIGRAPP.

Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization

T. Schreck, Daniel Atzberger, Matthias Trapp, 2023, IEEE Transactions on Visualization and Computer Graphics.

Interactive and View-Dependent See-Through Lenses for Massive 3D Point Clouds

Jürgen Döllner, Sören Discher, Rico Richter, 2017 .

APPLICABILITY OF NEURAL NETWORKS FOR IMAGE CLASSIFICATION ON OBJECT DETECTION IN MOBILE MAPPING 3D POINT CLOUDS

Jürgen Döllner, J. Wolf, Sören Discher, 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Classification of Indoor Point Clouds Using Multiviews

J. Döllner, V. Stojanovic, Matthias Trapp, 2019, Web3D.

Forests in the Digital Age: Concepts and Technologies for Designing and Deploying Forest Digital Twins

R. Richter, Josafat-Mattias Burmeister, R. de Amicis, 2023, Web3D.

COMPARATIVE VISUALIZATION OF BIM GEOMETRY AND CORRESPONDING POINT CLOUDS

Matthias Trapp, Jürgen Döllner, Rico Richter, 2018 .

A service-oriented approach for classifying 3D points clouds by example of office furniture classification

Matthias Trapp, Jürgen Döllner, Rico Richter, 2018, Web3D.

Object class segmentation of massive 3D point clouds of urban areas using point cloud topology

Jürgen Döllner, Rico Richter, Markus Behrens, 2013 .