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In recent years face recognition systems have been brought to the mainstreamdue to development in hardware and software. Consistent efforts are being madeto make them better and more secure. This has also brought developments in 3Dface recognition systems at a rapid pace. These 3DFR systems are expected toovercome certain vulnerabilities of 2DFR systems. One such problem that thedomain of 2DFR systems face is face image morphing. A substantial amount ofresearch is being done for generation of high quality face morphs along withdetection of attacks from these morphs. Comparatively the understanding ofvulnerability of 3DFR systems against 3D face morphs is less. But at the sametime an expectation is set from 3DFR systems to be more robust against suchattacks. This paper attempts to research and gain more information on thismatter. The paper describes a couple of methods that can be used to generate 3Dface morphs. The face morphs that are generated using this method are thencompared to the contributing faces to obtain similarity scores. The highestMMPMR is obtained around 40% with RMMR of 41.76% when 3DFRS are attacked withlook-a-like morphs.

Vulnerability of 3D Face Recognition Systems to Morphing Attacks