Preprocessing images of faces: correlations with human perceptions of distinctiveness and familiarity (original) (raw)
1995, Image Processing and its …
AI-generated Abstract
This research investigates how human perceptions of distinctiveness, memorability, and familiarity correlate with image processing of face images. Experimentation involved distinctiveness ratings from 34 subjects on a selection of 174 images of young Caucasian males, revealing that memorability and general familiarity represent independent factors. The implementation of principal component analysis (PCA) on facial images demonstrated that the structure of face data influences recognition performance, emphasizing that certain facial characteristics impact distinctiveness and recognition in unexpected ways.
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