Rico Richter

According to our database, Rico Richter authored at least 22 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multistage strategy for ground point filtering on large-scale datasets.

Diego Teijeiro Paredes, Margarita Amor López, Sandra Buján, Rico Richter, Jürgen Döllner

J. Supercomput., December, 2024

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

Daniel Atzberger, Tim Cech, Matthias Trapp, Rico Richter, Willy Scheibel, Jürgen Döllner, Tobias Schreck

IEEE Trans. Vis. Comput. Graph., January, 2024

Standardness Fogs Meaning: A Position Regarding the Informed Usage of Standard Datasets.

Tim Cech, Ole Wegen, Daniel Atzberger, Rico Richter, Willy Scheibel, Jürgen Döllner

CoRR, 2024

Non-Photorealistic Rendering of 3D Point Clouds Using Segment-Specific Image-Space Effects.

Ole Wegen, Josafat-Mattias Burmeister, Max Reimann, Rico Richter, Jürgen Döllner

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

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

Jürgen Döllner, Raffaele De Amicis, Josafat-Mattias Burmeister, Rico Richter

Proceedings of the 28th International ACM Conference on 3D Web Technology, 2023

Evaluating Architectures and Hyperparameters of Self-supervised Network Projections.

Tim Cech, Daniel Atzberger, Willy Scheibel, Rico Richter, Jürgen Döllner

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Detecting Outliers in CI/CD Pipeline Logs Using Latent Dirichlet Allocation.

Daniel Atzberger, Tim Cech, Willy Scheibel, Rico Richter, Jürgen Döllner

Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023

2022

Concepts and Challenges for 4D Point Clouds as a Foundation of Conscious, Smart City Systems.

Ole Wegen, Jürgen Döllner, Rico Richter

Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

2021

Asset Detection in Railroad Environments using Deep Learning-based Scanline Analysis.

Johannes Wolf, Rico Richter, Jürgen Döllner

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Image-based Road Marking Classification and Vector Data Derivation from Mobile Mapping 3D Point Clouds.

Johannes Wolf, Tobias Pietz, Rico Richter, Sören Discher, Jürgen Döllner

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2019

Service-oriented semantic enrichment of indoor point clouds using octree-based multiview classification.

Vladeta Stojanovic, Matthias Trapp, Rico Richter, Jürgen Döllner

Graph. Model., 2019

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

Sören Discher, Rico Richter, Jürgen Döllner

Graph. Model., 2019

Classification of Indoor Point Clouds Using Multiviews.

Vladeta Stojanovic, Matthias Trapp, Jürgen Döllner, Rico Richter

Proceedings of the 24th International Conference on 3D Web Technology, 2019

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

Johannes Wolf, Rico Richter, Jürgen Döllner

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

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

Vladeta Stojanovic, Matthias Trapp, Rico Richter, Jürgen Döllner

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

2018

Concepts and techniques for processing and rendering of massive 3D point clouds.

Rico Richter

PhD thesis, 2018

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

Sören Discher, Leon Masopust, Sebastian Schulz, Rico Richter, Jürgen Döllner

J. WSCG, 2018

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

Vladeta Stojanovic, Matthias Trapp, Rico Richter, Jürgen Döllner

Proceedings of the 23rd International ACM Conference on 3D Web Technology, 2018

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

Sören Discher, Rico Richter, Jürgen Döllner

Proceedings of the 23rd International ACM Conference on 3D Web Technology, 2018

2014

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

Rico Richter, Jürgen Döllner

Comput. Environ. Urban Syst., 2014

2013

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

Rico Richter, Jan Eric Kyprianidis, Jürgen Döllner

Trans. GIS, 2013

2010

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

Rico Richter, Jürgen Döllner

Proceedings of the 7th International Conference on Computer Graphics, 2010