Moving Soon? Rearranging Furniture using Mixed Reality

Shihao Song*, Yujia Wang, Wei Liang, Xiangyuan Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

We present a mixed reality (MR) system to help users with a houseful of furniture moving from an existing home into a new space, inheriting the preferences of furniture layout from the previous scene. With the RGB-D cameras mounted on a mixed reality device, Microsoft HoloLens 2, our system first reconstructs the 3D model of the ex-isting scene and leverages a deep learning-based approach to detect and to group objects, e.g., grouping the bed with nightstand. Then, our system generates a personalized furniture layout by optimizing a cost function, incorporating the analyzed relevance of between and within groups, and the spatial constraints of the new layout. The experiment results show that our system can transfer furniture layout to new spaces automatically, keeping the user's preferences well.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages798-799
Number of pages2
ISBN (Electronic)9781665484022
DOIs
Publication statusPublished - 2022
Event2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022 - Virtual, Online, New Zealand
Duration: 12 Mar 202216 Mar 2022

Publication series

NameProceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022

Conference

Conference2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
Country/TerritoryNew Zealand
CityVirtual, Online
Period12/03/2216/03/22

Keywords

  • Human-centered computing-Visualization-Visualization design and evaluation methods

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