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

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

2024

Abstract

3D point clouds are a widely used representation for surfaces and object geometries. However, their visualization can be challenging due to point sparsity and acquisition inaccuracies, leading to visual complexity and ambiguity. Non-photorealistic rendering (NPR) addresses these challenges by using stylization techniques to abstract from certain details or emphasize specific areas of a scene. Although NPR effectively reduces visual complexity, existing approaches often apply uniform styles across entire point clouds, leading to a loss of detail or saliency in certain areas. To address this, we present a novel segment-based NPR approach for point cloud visualization. Utilizing prior point cloud segmentation, our method applies distinct rendering styles to different segments, enhancing scene understanding and directing the viewer’s attention. Our emphasis lies in integrating aesthetic and expressive elements through image-based artistic rendering, such as watercolor or cartoon filtering. To combine the per-segment images into a consistent final image, we propose a user-controllable depth inpainting algorithm. This algorithm estimates depth values for pixels that lacked depth information during point cloud rendering but received coloration during image-based stylization. Our approach supports real-time rendering of large point clouds, allowing users to interactively explore various artistic styles.

Paper Citation

in Harvard Style

Wegen O., Burmeister J., Reimann M., Richter R. and Döllner J. (2024). Non-Photorealistic Rendering of 3D Point Clouds Using Segment-Specific Image-Space Effects. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP; ISBN 978-989-758-679-8, SciTePress, pages 189-200. DOI: 10.5220/0012575800003660

in Bibtex Style

@conference{grapp24,
author={Ole Wegen and Josafat-Mattias Burmeister and Max Reimann and Rico Richter and Jürgen Döllner},
title={Non-Photorealistic Rendering of 3D Point Clouds Using Segment-Specific Image-Space Effects},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP},
year={2024},
pages={189-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012575800003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP
TI - Non-Photorealistic Rendering of 3D Point Clouds Using Segment-Specific Image-Space Effects
SN - 978-989-758-679-8
AU - Wegen O.
AU - Burmeister J.
AU - Reimann M.
AU - Richter R.
AU - Döllner J.
PY - 2024
SP - 189
EP - 200
DO - 10.5220/0012575800003660
PB - SciTePress