A Non-Photorealistic Rendering Technique for Art-directed Hatching of 3D Point Clouds

Ronja Wagner, Ole Wegen, Daniel Limberger, Jürgen Döllner, Matthias Trapp

2022

Abstract

Point clouds or point-based geometry of varying density can nowadays be easily acquired using LiDAR cameras or modern smartphones with LiDAR sensors. We demonstrate how this data can be used directly to create novel artistic digital content using Non-Photorealistic Rendering techniques. We introduce a GPU-based technique for art-directable NPR rendering of 3D point clouds at interactive frame-rates. The technique uses either a subset or all of the points to generate oriented, sketchy strokes by taking local curvature and normal information into account. It uses X-Toon textures as part of its parameterization, supports hatching and cross hatching, and is inherently temporal coherent with respect to virtual camera movements. This introduces significant artistic freedom that is underlined by our results, which show that a variety of different sketchy styles such as colored crayons, pencil, pointillism, wax crayons, blue print, and chalk-drawings can be achieved on a wide spectrum of point clouds, i.e., covering 3D polygonal meshes as well as iPad-based LiDAR scans.

Paper Citation

in Harvard Style

Wagner R., Wegen O., Limberger D., Döllner J. and Trapp M. (2022). A Non-Photorealistic Rendering Technique for Art-directed Hatching of 3D Point Clouds. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP; ISBN 978-989-758-555-5, SciTePress, pages 220-227. DOI: 10.5220/0010849500003124

in Bibtex Style

@conference{grapp22,
author={Ronja Wagner and Ole Wegen and Daniel Limberger and Jürgen Döllner and Matthias Trapp},
title={A Non-Photorealistic Rendering Technique for Art-directed Hatching of 3D Point Clouds},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP},
year={2022},
pages={220-227},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010849500003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP
TI - A Non-Photorealistic Rendering Technique for Art-directed Hatching of 3D Point Clouds
SN - 978-989-758-555-5
AU - Wagner R.
AU - Wegen O.
AU - Limberger D.
AU - Döllner J.
AU - Trapp M.
PY - 2022
SP - 220
EP - 227
DO - 10.5220/0010849500003124
PB - SciTePress