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3D Indoor Scene Reconstruction and Layout Based on Virtual Reality Technology and Few-Shot Learning
1School of Art, Taiyuan University of Science and Technology, Taiyuan, Shanxi 030021, China.
Computational Intelligence and Neuroscience
|April 4, 2022
Summary
This study introduces a novel indoor scene reconstruction method using virtual reality (VR) to enhance 3D layout planning. The approach improves depth image accuracy and optimizes furniture arrangement for efficient spatial design.
Area of Science:
- Computer Vision
- Virtual Reality
- 3D Reconstruction
Background:
- Indoor 3D layout planning is crucial for virtual offices, museums, and virtual tourism.
- Applications span telecommuting, education, and tourism, highlighting the need for efficient reconstruction methods.
Purpose of the Study:
- To propose an indoor landscape reconstruction method leveraging Virtual Reality (VR).
- To enhance the accuracy of 3D indoor scene reconstruction (TDR).
- To optimize scene layout and furniture arrangement.
Main Methods:
- Utilizing VR technology to capture indoor landscape information and generate panoramic reconstructions.
- Developing a model to correct depth image errors (distance and reflectivity) for improved accuracy.
- Employing Markov chain-based Monte Carlo sampling with density functions for guided layout optimization.
Main Results:
- Achieved improved accuracy in depth image processing.
- Enhanced the precision of 3D indoor scene reconstruction (TDR).
- Generated scientifically guided and reasonable scene layout suggestions.
Conclusions:
- The proposed VR-based method effectively reconstructs indoor scenes and optimizes layout.
- The approach aids users in completing furniture layout tasks more efficiently.
- This technology offers practical solutions for various virtual environment applications.
