Proceedings Article10.1145/2483977.2483998
Exploiting depth camera for 3D spatial relationship interpretation
Jun Ye,Kien A. Hua +1 more
- 28 Feb 2013
- pp 151-161
TL;DR: A 3D spatial logic and algorithms for interpretation of spatial relationships among objects in 3D space are proposed and developed for LVDBMS (Live Video DataBase Management System), a generic platform for live video computing.
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Abstract: Interpretation of spatial relations between objects is essential to many applications such as robotics, video surveillance, spatial reasoning, and scene understanding. Current models for spatial logic are two-dimensional. With the advance in new sensing technology, inexpensive depth sensors become widely available and 3D scene reconstruction can be applied in various application scenarios. In this paper, we propose a 3D spatial logic and algorithms for interpretation of spatial relationships among objects in 3D space. More specifically, these techniques are developed for LVDBMS (Live Video DataBase Management System), a generic platform for live video computing. We extend the original directional relationships into 3D directional relationships, and introduce a simple yet effective way to build 3D object models based on depth sensors. A highly accurate and efficient algorithm is also proposed to compute the spatial relationships between two objects by sampling the entire space from the reference object. Experimental results based on a real indoor scene and an RGB-D dataset are given to demonstrate the effectiveness of our techniques.
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