Sensitivity of Face Recognition Performance to Eye Location Accuracy

摘要

Face recognition systems generally require location of face landmarks (often eyes) as an essential preprocessing step. Eye location estimates can be assessed in absolute terms (e.g., proximity to known eye location) and also in application-specific terms (e.g., performance of a system that employs the location). This paper assesses an automatic commercial eye-finding system in absolute and application-specific terms, using two face recognition systems and a database of thousands of images. Experimental results highlight the sensitivity of both systems to accurate eye location estimation as well as quality face lighting and time lapse.