The Cambridge Face Memory Test: results for neurologically intact individuals and an investigation of its validity using inverted face stimuli and prosopagnosic participants.

By B. Duchaine, Ken Nakayama. Neuropsychologia, 2006

985 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Neurology

View Paper: https://www.semanticscholar.org/paper/3ac2426a51337db5a16ab9a23f8cf8119197fbb9

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Citations in the corpus

A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence (2021, background): “…the Test of Word Reading Efficiency 68 , including both Sight Word Efficiency and Phonemic Decoding Efficiency; the Cambridge Memory Test for Faces 69 ; ultra-fast measurement of contrast sensitivity 70 ; and an assessment of chromatic sensitivity (participants adjusted intensities of red, green…”
Perceptual Annotation: Measuring Human Vision to Improve Computer Vision (2014, background): “, the eye region) are involved, raising the question of how detection relates to the face-specific recognition modules wellstudied in the behavioral [25] and neuroimaging [26] literatures.”
The composite face illusion: A whole window into our understanding of holistic face perception (2013, positive): “First, it is worth reminding that irrespective of the quality of the test used (for instance the widely used Cambridge Face Memory Test, CFMT; Duchaine & Nakayama, 2006b), face recognition performance as assessed in a given test will vary across individuals due to many general factors (perceptual,…”
Individual Differences in Face Recognition: A Decade of Discovery (2017, methodology): “It is, however, the one employed by the most widely used test of face-recognition ability, the Cambridge Face Memory Test (Duchaine & Nakayama, 2006), and by several other high-quality tests of face recognition (e.g., Croydon, Pimperton, Ewing, Duchaine, & Pellicano, 2014; Dalrymple, Corrow, Yonas,…”
PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition (2016, methodology): “Psychophysics is an indispensable tool to vision science, and has been deployed to discover the minimum threshold for stimulation of a retinal photoreceptor (a single photon) [10], confirm Helmholtz’s assertions on color absorption in the retina [11], and establish criteria to diagnose prosopagnosia”
Sex differences and the own-gender bias in face recognition: A meta-analytic review (2013, result): “…when only male faces are presented may be that some of the studies that only used male faces*and obtained remarkably similar effect sizes (g : 0.30)*used the Cambridge Face Memory Test (CFMT; Bowles et al., 2009; Duchaine & Nakayama, 2006; McGugin, Richler, Herzmann, Speegle, & Gauthier, 2012).”