Information
- Publication Type: Conference Paper
- Workgroup(s)/Project(s):
- Date: May 2019
- ISBN: 978-1-4503-6310-5
- Series: I3D ’19
- Publisher: ACM
- Location: Montreal, Quebec, Canada
- Lecturer: Harald Steinlechner
- Event: 33rd Symposium on Interactive 3D Graphics and Games
- Editor: Blenkhorn, Ari Rapkin
- DOI: 10.1145/3306131.3317023
- Call for Papers: Call for Paper
- Booktitle: Proceedings of the 33rd Symposium on Interactive 3D Graphics and Games
- Conference date: 21. May 2019 – 23. May 2019
- Pages: 14:1 – 14:9
- Keywords: Pointcloud Segmentation, Shape Detection, Interactive Editing
Abstract
In this work, we propose an interaction-driven approach streamlined to support and improve a wide range of real-time 2D interaction metaphors for arbitrarily large pointclouds based on detected primitive shapes. Rather than performing shape detection as a costly pre-processing step on the entire point cloud at once, a user-controlled interaction determines the region that is to be segmented next. By keeping the size of the region and the number of points small, the algorithm produces meaningful results and therefore feedback on the local geometry within a fraction of a second. We can apply these finding for improved picking and selection metaphors in large point clouds, and propose further novel shape-assisted interactions that utilize this local semantic information to improve the user’s workflow.Additional Files and Images
Additional images and videos
teaser:
Our novel interactive approach for shape detection in point clouds allows for sophisticated interactions, like shape-assisted lasso selection, shape-assisted volumetric brush, and shape-assisted local LoD increment.
Additional files
Weblinks
BibTeX
@inproceedings{STEINLECHNER-2019-APS, title = "Adaptive Point-cloud Segmentation for Assisted Interactions", author = "Harald Steinlechner and Bernhard Rainer and Michael Schw\"{a}rzler and Georg Haaser and Attila Szabo and Stefan Maierhofer and Michael Wimmer", year = "2019", abstract = "In this work, we propose an interaction-driven approach streamlined to support and improve a wide range of real-time 2D interaction metaphors for arbitrarily large pointclouds based on detected primitive shapes. Rather than performing shape detection as a costly pre-processing step on the entire point cloud at once, a user-controlled interaction determines the region that is to be segmented next. By keeping the size of the region and the number of points small, the algorithm produces meaningful results and therefore feedback on the local geometry within a fraction of a second. We can apply these finding for improved picking and selection metaphors in large point clouds, and propose further novel shape-assisted interactions that utilize this local semantic information to improve the user’s workflow.", month = may, isbn = "978-1-4503-6310-5", series = "I3D ’19", publisher = "ACM", location = "Montreal, Quebec, Canada", event = "33rd Symposium on Interactive 3D Graphics and Games", editor = "Blenkhorn, Ari Rapkin", doi = "10.1145/3306131.3317023", booktitle = "Proceedings of the 33rd Symposium on Interactive 3D Graphics and Games", pages = "14:1--14:9", keywords = "Pointcloud Segmentation, Shape Detection, Interactive Editing", URL = "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/", }