Research Aim: When it comes to communications, human expressions are extraordinary. Humans can identify it very easily and accurately. Getting the same outcome from a 3D machine is a difficult task. This is because of the present challenges in 3D face data scanning. This study will examine the facial emotion identification in humans using different multi-point for 3D face landmarks.