Wireless multimedia sensor network deployment for disparity map calculation

The use of Wireless Multimedia Sensor Networks (WMSNs) has been increased in the recent decade in several fields. One of the main advantages of WMSNs is activity monitoring, where 2D images and videos have been used traditionally for surveillance and detection so far. However, a lot of interest is paid to depth information that is not normally available while using 2D images. In our previous work, the use of disparity information in WMSNs has been studied. In this paper, our contribution consists of evaluating the Sensor deployment for efficient disparity calculation for indoor and outdoor purposes. The simulation results show that while considering images from adjacent sensors, the disparity map is successfully calculated. The quality of the disparity is evaluated using structural similarity metric between one reference image captured by one sensor and the calculated disparity map.