Recently, volumetric video based communications have gained a lot of attention, especially due to the emergence of devices that can capture scenes with 3D spatial information and display mixed reality environments. Nevertheless, capturing the world in 3D is not an easy task, with capture systems being usually composed by arrays of image sensors, which sometimes are paired with depth sensors. Unfortunately, these arrays are not easy to assembly and calibrate by non-specialists, making their use in volumetric video applications a challenge. Additionally, the cost of these systems is still high, which limits their popularity in mainstream communication applications. This work proposes a system that provides a way to reconstruct the head of a human speaker from single view frames captured using a single RGB-D camera (e.g. Microsoft?s Kinect 2 device). The proposed system generates volumetric video frames with a minimum number of occluded and missing areas. To achieve a good quality, the system prioritizes the data corresponding to the participants? face, therefore preserving important information from speakers facial expressions. Our ultimate goal is to design an inexpensive system that can be used in volumetric video telepresence applications and even on volumetric video talk-shows broadcasting applications.