Abstract
ScaleFree introduces a dynamic KDE approach for exploring multiscale point cloud data in virtual reality. The system supports smooth density estimation across scales so users can inspect sparse and dense structures without repeatedly changing tools or losing spatial context. It is designed for immersive scientific data exploration where users need to move between overview, regional patterns, and fine-grained local structures.
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BibTeX
@inproceedings{zhao2026scalefree,
author = {Zhao, Lixiang and Xie, Fuqi and Isenberg, Tobias and Liang, Hai-Ning and Yu, Lingyun},
title = {ScaleFree: Dynamic KDE for Multiscale Point Cloud Exploration in VR},
booktitle = {Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces},
pages = {358--368},
year = {2026},
doi = {10.1109/VR67842.2026.00057}
}