Overview of indoor scene recognition and representation methods based on multimodal knowledge graphs

This paper provides a comprehensive overview of multi-modal knowledge graph technology and a three-layer framework for scene recognition. Integrating diverse 3D expertise into a deep neural network enhances scene cognition and knowledge representation. Real-time 3D scene graph construction via feature matching is explored, demonstrating the feasibility of effective scene knowledge representation. Leveraging advanced multimodal knowledge graph and scene recognition, the paper presents a promising avenue for AI-driven scene cognition and construction. It contributes to understanding multi-modal knowledge graph technology's potential in addressing scene recognition challenges and implications for future advancements. This interdisciplinary work establishes a foundation for intelligent scene analysis and interpretation.