scholarly journals Individual differences in face recognition abilities linked to variations in diagnostic facial information.

2014 ◽  
Vol 14 (10) ◽  
pp. 1442-1442
Author(s):  
J. Royer ◽  
S. Lafortune ◽  
J. Duncan ◽  
C. Blais ◽  
D. Fiset
Keyword(s):  
Face Recognition ◽  
Individual Differences ◽  
Facial Information

scholarly journals Neural Representations of Faces are Tuned to Eye Movements

2018 ◽  
Author(s):  
Lisa Stacchi ◽  
Meike Ramon ◽  
Junpeng Lao ◽  
Roberto Caldara
Keyword(s):  
Face Recognition ◽  
Individual Differences ◽  
Eye Movements ◽  
Neural System ◽  
Human Vision ◽  
Facial Features ◽  
Sampling Strategies ◽  
Neural Representations ◽  
Facial Information ◽  
Visual Sampling

ABSTRACTEye movements provide a functional signature of how human vision is achieved. Many recent studies have reported idiosyncratic visual sampling strategies during face recognition. Whether these inter-individual differences are mirrored by idiosyncratic neural responses has not been investigated yet. Here, we tracked observers’ eye movements during face recognition; additionally, we obtained an objective index of neural face discrimination through EEG that was recorded while subjects fixated different facial information.Across all observers, we found that those facial features that were fixated longer during face recognition elicited stronger neural face discrimination responses. This relationship occurred independently of inter-individual differences in fixation biases. Our data show that eye movements play a functional role during face processing by providing the neural system with information that is diagnostic to a specific observer. The effective processing of face identity involves idiosyncratic, rather than universal representations.

Video-Based Deep Face Recognition Using Partial Facial Information

2021 ◽  
pp. 383-391
Author(s):  
B. Vivekanandam ◽  
Midhunchakkaravarthy ◽  
Balaganesh Duraisamy
Keyword(s):  
Face Recognition ◽  
Facial Information

scholarly journals Orientation-invariance of individual differences in three face processing tasks

2019 ◽  
Vol 6 (1) ◽  
pp. 181350
Author(s):  
G. Meinhardt ◽  
B. Meinhardt-Injac ◽  
M. Persike
Keyword(s):  
Face Recognition ◽  
Individual Differences ◽  
Selective Attention ◽  
Face Perception ◽  
Face Processing ◽  
Common Factor ◽  
Principal Component ◽  
Common Variance ◽  
Strong Inversion ◽  
Orientation Invariance

Numerous studies have reported impairments in perception and recognition, and, particularly, in part-integration of faces following picture-plane inversion. Whether these findings support the notion that inversion changes face processing qualitatively remains a topic of debate. To examine whether associations and dissociations of the human face processing ability depend on stimulus orientation, we measured face recognition with the Cambridge Face Memory Test (CFMT), along with experimental tests of face perception and selective attention to faces and non-face objects in a sample of 314 participants. Results showed strong inversion effects for all face-related tasks, and modest ones for non-face objects. Individual differences analysis revealed that the CFMT shared common variance with face perception and face-selective attention, however, independent of orientation. Regardless of whether predictor and criterion had same or different orientation, face recognition was best predicted by the same test battery. Principal component decomposition revealed a common factor for face recognition and face perception, a second common factor for face recognition and face-selective attention, and two unique factors. The patterns of factor loadings were nearly identical for upright and inverted presentation. These results indicate orientation-invariance of common variance in three domains of face processing. Since inversion impaired performance, but did not affect domain-related associations and dissociations, the findings suggest process-specific but orientation-general mechanisms. Specific limitations by constraints of individual differences analysis and test selection are discussed.

scholarly journals A Reciprocal Model of Face Recognition and Autistic Traits: Evidence from an Individual Differences Perspective

PLoS ONE ◽  
2014 ◽  
Vol 9 (5) ◽  
pp. e94013 ◽  
Author(s):  
Drew W. R. Halliday ◽  
Stuart W. S. MacDonald ◽  
Suzanne K. Sherf ◽  
James W. Tanaka
Keyword(s):  
Face Recognition ◽  
Individual Differences ◽  
Autistic Traits

scholarly journals Adaptive Coding and Face Recognition

2017 ◽  
Vol 26 (3) ◽  
pp. 218-224 ◽  
Author(s):  
Gillian Rhodes
Keyword(s):  
Face Recognition ◽  
Individual Differences ◽  
Visual System ◽  
Expression Recognition ◽  
Adaptive Coding ◽  
Face Identity ◽  
Visual Patterns ◽  
Recognition Ability ◽  
Face Adaptation ◽  
Lines Of Evidence

Face adaptation generates striking face aftereffects, but is this adaptation useful? The answer appears to be yes, with several lines of evidence suggesting that it contributes to our face-recognition ability. Adaptation to face identity is reduced in a variety of clinical populations with impaired face recognition. In addition, individual differences in face adaptation are linked to face-recognition ability in typical adults. People who adapt more readily to new faces are better at recognizing faces. This link between adaptation and recognition holds for both identity and expression recognition. Adaptation updates face norms, which represent the typical or average properties of the faces we experience. By using these norms to code how faces differ from average, the visual system can make explicit the distinctive information that we need to recognize faces. Thus, adaptive norm-based coding may help us to discriminate and recognize faces despite their similarity as visual patterns.

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