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Mobile3DScanner: An Online 3D Scanner for High-quality Object Reconstruction with a Mobile Device
IEEE Transactions on Visualization and Computer Graphics
|August 27, 2021
Summary
This study introduces Mobile3DScanner, a mobile app for creating high-quality 3D object models. It enables users to scan and reconstruct large objects in real-time for augmented reality (AR) content creation.
Area of Science:
- Computer Vision
- 3D Reconstruction
- Mobile Computing
Background:
- Current mobile 3D scanning systems are limited to small objects due to resource constraints.
- High-quality 3D reconstruction on mobile devices is crucial for applications like AR content creation.
Purpose of the Study:
- To develop a novel online 3D scanning system for mobile devices capable of reconstructing large objects.
- To enable real-time, high-quality textured 3D model acquisition on mobile platforms.
Main Methods:
- Implemented a simultaneous pose tracking and TSDF fusion module for real-time preview.
- Developed a visual-inertial ICP approach for accurate 6DoF pose tracking.
- Introduced an adaptive voxel resizing strategy to manage memory for large-scale TSDF fusion.
- Employed global pose optimization and multi-view texture mapping in post-processing.
Main Results:
- Successfully reconstructed large-dimension objects (e.g., statues) on a mobile device.
- Achieved real-time, high-quality textured 3D model generation.
- Demonstrated effectiveness through quantitative and qualitative evaluations.
Conclusions:
- Mobile3DScanner overcomes previous limitations, enabling high-quality 3D reconstruction of large objects on mobile devices.
- The system facilitates efficient AR content creation by providing accessible 3D scanning capabilities.
