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3D Semantic Parsing for Indoor Spaces by Luigi Freda is a document available to read on EtoBox.
What is 3D Semantic Parsing for Indoor Spaces about?
This paper presents a hierarchical method for semantic parsing of large-scale 3D point clouds of indoor spaces, focusing on identifying meaningful spaces and structural elements. The approach utilizes geometric priors and a detection-based strategy to effectively parse complex indoor environments, addressing challenges posed by large-scale data. The authors provide a dataset and demonstrate the effectiveness of their method through robust results across multiple buildings.
- Author
- Luigi Freda
- Language
- EN