Abstract: With the ubiquity of new information technology and media, face and facial expression recognition technologies have been receiving significant attention. For face recognition systems, detecting the locations in two-dimension (2D) images where faces are present is a first step to be performed. However, face detection from a 2D image is a challenging task because of variability in imaging conditions, image orientation, pose, presence/absence of facial artefacts facial expression and occlusion. Existing efforts to address the shortcomings of existing face recognition systems involve technologies for creation of three-dimensional (3D) models of a human subject's face based on a digital photograph of the human subject. However, such technologies are computationally intensive nature and susceptible to errors and hence might not be suitable for deployment.