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arXiv · 2404.17179

Meta-Objects: Interactive and Multisensory Virtual Objects Learned from the Real World for Use in Augmented Reality

Dooyoung Kim·Taewook Ha·Jinseok Hong·Seonji Kim·Selin Choi·Heejeong Ko·Woontack Woo
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Abstract

We introduce the concept of a meta-object, a next-generation virtual object that inherits the form, properties, and functions of its real-world counterpart, enabling seamless synchronization, interaction, and sharing between the physical and virtual worlds. While plenty of today's virtual objects provide some sensory feedback and dynamic behavior, meta-objects fully integrate interactive and multisensory features within a structured data framework to enable real-time immersive experiences in a post-metaverse intelligent simulation platform. Three key components underpin the utilization of meta-objects in the post-metaverse: property-embedded modeling for physical and action realism, adaptive multisensory feedback tailored to user interactions, and a scene graph-based intelligence simulation platform for scalable and efficient ecosystem integration. By leveraging meta-objects through wearable AR/VR devices, the post-metaverse facilitates seamless interactions that transcend spatial and temporal barriers, paving the way for a transformative reality-virtuality convergence.

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Dooyoung Kim, Taewook Ha, Jinseok Hong, Seonji Kim, Selin Choi, Heejeong Ko, Woontack Woo. 2024-04-26. Meta-Objects: Interactive and Multisensory Virtual Objects Learned from the Real World for Use in Augmented Reality. https://arxiv.org/abs/2404.17179

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