While previous efforts, such as CV Dazzle, adversarial patches, and Juggalo makeup, relied on bold, high-contrast modifications to disrupt facial detection, these approaches often suffer from two critical limitations: their theatrical prominence makes them easily recognizable to human observers, and they fail to address modern face detectors trained on robust key-point models.
In contrast, this study demonstrates that effective disruption of facial recognition can be achieved through subtle darkening of high-density key-point regions (e.g., brow lines, nose bridge, and jaw contours) without triggering the visibility issues inherent to overt disguises.
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