Title :
Graph-based visual sensor deployment and optics optimization
Author :
Alarcon-Herrera, Jose ; Chen Xiang
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada
Abstract :
In this brief, we present a method for automatic deployment of visual sensor networks. The solution is formulated as a greedy search by taking advantage of the topological properties of the vision graph. The optimization of the optical component of the vision system is solved using a geometrical approach. We show that the information about the resolution, focus, and visibility of the vision system can be encoded in the geometry of a square frustum. The frustum is used to model the optimal configuration of the lens. Finally, we make use of experiments to show the effectiveness of our approach.
Keywords :
computer vision; geometry; graph theory; greedy algorithms; image sensors; lenses; optimisation; search problems; sensor placement; automatic visual sensor network deployment; computer vision; geometrical approach; graph-based visual sensor deployment; greedy search; optical component optimization; optics optimization; optimal lens configuration; square frustum geometry; topological properties; vision graph; Cameras; Inspection; Lenses; Machine vision; Optimization; Robot vision systems; Visualization; Camera Optimization; Sensor Deployment; Vision-Based Inspection;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896672