In recent years, the surge in interest in Virtual Reality (VR), Augmented Reality (AR), and the Metaverse has led to various innovative applications in the fields of architecture and spatial design. This study underscores the pivotal role of 360-degree panorama images in creating immersive VR and Metaverse environments, particularly in the visualization and design of interior spaces. By employing methods such as 360 cameras, 3D scanning, BIM modeling, and AI-generated images, the study amassed a comprehensive database of approximately 10,000 high-quality panorama images from both real and virtual spaces. This database can be utilized in various ways, including splitting panorama images into conventional reference images for video visualization and classifying spaces based on object recognition techniques. Additionally, a method for selecting representative images using depth maps was proposed. The research aimed to systematically manage and effectively utilize a vast array of panorama images, thereby exploring their potential as powerful tools in supporting interior space design. The findings indicate that 360-degree panorama images can significantly enhance visualization and communication in architectural design. This study not only provides a structured approach to managing extensive image databases but also highlights the versatility of 360-degree panorama images in improving the architectural design process and supporting various design applications.
1. 서 론
2. 이론적 고찰
3. 파노라마 데이터베이스 구축 방법
4. 파노라마 DB 프로세싱 및 활용
5. 향후 연구 진행 방향 및 결론
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