Abstract
We propose a novel hybrid representation scheme for indoor environments using meshes and point clouds. Points are suitable for rendering detailed objects, while meshes can represent planar shapes more compactly. Based on these properties, we use points or meshes adaptively according to local characteristics of an input scene. More specifically, we first determine building structures, which can be represented by meshes, in indoor environments. Then, we create meshes corresponding to the building structures, while representing the remaining parts with points. Experimental results demonstrate that the proposed hybrid scheme renders indoor environments more efficiently than the point-based representation or the mesh-based representation.
Original language | English |
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Title of host publication | 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 289-291 |
Number of pages | 3 |
ISBN (Print) | 9781479953325 |
DOIs | |
Publication status | Published - 1997 Mar 9 |
Event | 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014 - Kuala Lumpur, Malaysia Duration: 2014 Nov 12 → 2014 Nov 15 |
Other
Other | 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014 |
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Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 14/11/12 → 14/11/15 |
Keywords
- hybrid rendering
- plane extraction
- point cloud
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction