Learn how to use GPU for accelerating 3D registration with Kinect or similar devices in order to capture highly-detailed facial performance in real time or at an interactive speed. We describe the energy-based approach that we borrowed from Hao Li et al. paper published at SGP 2008. We also explain why we can benefit from GPU computation power and achieve higher quality and more detail at interactive speeds. Finally, we elaborate on how real-time performance can be achieved by improving our CUDA-based implementation