Maxst Enables Easy 3D Digital Twin Implementation on Mobile Without Expensive Equipment

Maxst disclosed research results on realistic 3D modeling implementation through mobile devices on the 29th.

To implement 3D digital twins, not only expensive equipment such as LiDAR sensors and 360 cameras are required, but also high-performance PCs for processing the captured data. Maxst developed mobile 3D modeling technology that maximizes mobile GPGPU computing performance as an alternative. The paper was presented at ISMAR 2024, the most prestigious international conference in the field of virtual and augmented reality.

Maxst participated in "ISMAR 2024," held in Seattle, USA, from the 21st to the 25th, and disclosed a paper containing the technical implementation details. Sponsors of the conference included Meta, Qualcomm, and IEEE.

RoomRecon is an application that enables high-quality texturing and layout reconstruction of indoor spaces using mobile devices. It captures indoor spaces using RGB-D sensors and mobile 3D reconstruction technology, generating realistic 3D models usable in AR and VR applications. Its main features include ▲ high-quality textures through AR guide images ▲ a real-time interactive scanning and texturing pipeline in a mobile environment ▲ customized 3D model provision for users.

A Maxst official stated, "We presented a paper at ISMAR, a world-class academic conference, with our AR and VR-related technological capabilities," and added, "We will continue to provide technical support to lower the threshold of digital twins so that general users can create 3D models using mobile devices."