Recognition of unfamiliar faces.

By Hancock, Bruce, Burton. Trends in Cognitive Sciences, 2000

599 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Recognizing Disguised Faces: Human and Machine Evaluation (2014, background): “Complimentarily, Hancock et al. [30] reported that unfamiliar faces are difficult to recognize in a low-quality surveillance video.”
Recognizing moving faces: a psychological and neural synthesis. (2002, background): “For unfamiliar faces, however, even relatively minor changes in viewpoint [12] and illumination [13] impair performance [ 14 ,15].”
Robust representations for face recognition: the power of averages. (2005, background): “Bruce et al, (1999, 2001) and Hancock et al (2000) suggest that this is exactly the strategy used in unfamiliar face matching, in contrast to a more abstractive approach in which some canonical knowledge of face variation is recruited.”
Recognizing disguised faces (2012, background): “Although more weight is typically assigned to the internal features of a face, Hancock, Bruce, and Burton (2000) have shown that unfamiliar faces are encoded, at least in part, using external facial features such as the specific hairstyle.”
Familiarity matters: A review on prioritized processing of personally familiar faces (2018, background): “, 2001; Bruck, Cavanagh, & Ceci, 1991; Ramon, 2015a), which dramatically impair performance for unfamiliar face identity matching (Hancock et al., 2000).”