  In recent years face recognition systems have been brought to the mainstream
due to development in hardware and software. Consistent efforts are being made
to make them better and more secure. This has also brought developments in 3D
face recognition systems at a rapid pace. These 3DFR systems are expected to
overcome certain vulnerabilities of 2DFR systems. One such problem that the
domain of 2DFR systems face is face image morphing. A substantial amount of
research is being done for generation of high quality face morphs along with
detection of attacks from these morphs. Comparatively the understanding of
vulnerability of 3DFR systems against 3D face morphs is less. But at the same
time an expectation is set from 3DFR systems to be more robust against such
attacks. This paper attempts to research and gain more information on this
matter. The paper describes a couple of methods that can be used to generate 3D
face morphs. The face morphs that are generated using this method are then
compared to the contributing faces to obtain similarity scores. The highest
MMPMR is obtained around 40% with RMMR of 41.76% when 3DFRS are attacked with
look-a-like morphs.

Computer Vision and Pattern Recognition