On-Device 3D Point Cloud Segmentation for Mixed Reality Applications
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This paper deals with preliminary research on segmenting 3D space captured by the depth sensor integrated into the HTC Vive XR Elite headset. Obtained cloud of 3D points was employed as the basis for a segmentation algorithm that identifies individual objects by detecting planes and grouping them into bounding boxes. Since spatial data is not available in the socalled PCVR mode, all computations had to be performed directly on the head-mounted display (HMD) headset, which is heavily constrained in terms of performance. The proposed approach provides a practical foundation for replacing detected objects with virtual counterparts (overlaying), while meeting computational and energy efficiency requirements for prolonged headset operation.
Description
CCS Concepts: Human-centered computing → Mixed / augmented reality; Computing methodologies → Mesh models
@inproceedings{10.2312:egve.20251364,
booktitle = {ICAT-EGVE 2025 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments - Posters and Demos},
editor = {Garro, Valeria and Young, Gareth and Elwardy, Majed},
title = {{On-Device 3D Point Cloud Segmentation for Mixed Reality Applications}},
author = {Czajkowski, Andrzej and Kowal, Marek and Greszczyński, Rafael},
year = {2025},
publisher = {The Eurographics Association},
ISSN = {1727-530X},
ISBN = {978-3-03868-279-0},
DOI = {10.2312/egve.20251364}
}