Konferenzbeitrag
Effects of sample stretching in face recognition
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Text/Conference Paper
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Datum
2020
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Gesellschaft für Informatik e.V.
Zusammenfassung
Face stretching is something that can occur intentionally and unintentionally when preparing
a face sample for enrollment in a face recognition system. In this paper we assess what affects
both horizontal and vertical stretching have on a face recognition algorithms. Basic closed-set identification
tests revealed that holistic face recognition algorithms performed poorly compared to feature
based recognition algorithms when classifying non-stretched samples against templates based
on stretched samples.