Universal Identity Independent Face Counter-spoofing
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Date
2023
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Abstract
"Owing the ubiquitous deployment of face-recognition units at various points,
""face-masquerading"" is certainly possible via synthetic facial-imitations of some
target individual. These ""imitations"" can be executed either in a crude way with a
planar print/digital image or in a much more sophisticated manner via
""prosthetics"". Since the spoofing modality/type is hard to predict, what is well
understood is the INTRINSIC NATURAL FACE-SPACE.Furthermore, counterspoofing
should operate at a layer where subject-content must be ignored. What
should be learnt is the high-level presentation form of the face or face-like object
presented to the still-camera. On this front, a CONTIGUOUS RANDOM SCAN based
architecture is proposed and deployed to build a content-agnostic/subjectindependent
model for the NATURAL FACE CLASS ALONE. Works effectively
against planar-spoofing and even prosthetics despite depth variability (due to the
one-mask-fits-many, over-smoothing constraint). The ""contiguous random scan"" is
a technology transfer from an application invented by Matias and Shamir (1987) which
involved application of SPACE FILLING CURVES for compressing encrypted videos. As
second contribution, to attack PRINT-SPOOF-presentations, a CONTRAST
REDUCTIONISTIC IMAGE LIFE-TRAIL based on ITERATIVE FUNCTIONAL MAPS
is proposed, to segregate natural contrast rich faces with SELF-SHADOWS from
PRINT-SPOOF-presentations. NATURAL face-images tend to have longer LIFE-trails
as compared to PRINT-SPOOF-images."
Description
Supervisor: Karthik, Kannan
Keywords
Face Counterspoofing, Outlier Model, Random Scan, Image Life Trails