Factors influencing young children’s ability to discriminate unfamiliar faces by age

2000 ◽  
Vol 24 (4) ◽  
pp. 480-491 ◽  
Author(s):  
P. A. George ◽  
G. J. Hole ◽  
M. Scaife

Three experiments examined young children’s ability to discriminate between pairs of unfamiliar faces which differed in age. Apre-test found that 99% of 6-year-olds, but only 36%of 4-year-olds, could reliably decide which of two faces was the oldest. Experiment 1 attempted to identify the nature of the information used for age-processing faces. Face-pairs were presented in four different versions: Original (unmodified image); Features-only (containing only the internal face features); Skin-blur (in which the skin regions of the face were subjected to Gaussian blurring); or Overall-blur (in which the entire image was blurred). The last three versions selectively reduced specific cues to age. No significant differences in age-discrimination performance were found between these different versions, suggesting that, as with adults, children are capable of adaptively using a variety of cues in order to discriminate between faces on the basis of age. Experiments 2 and 3 investigated in more detail a phenomenon suggested by Experiment 1: That children found it easier to discriminate between faces by age that were similar in age to themselves, than between adult faces. The results suggest that children as young as 6 years can use age to discriminate between faces of all ages with a relatively high degree of accuracy, but experience most difficulty with adult faces.

Perception ◽  
1995 ◽  
Vol 24 (9) ◽  
pp. 1059-1073 ◽  
Author(s):  
Patricia A George ◽  
Graham J Hole

Factors affecting the accuracy with which adults could assess the age of unfamiliar male faces aged between 5 and 70 years were examined. In the first experiment twenty-five ‘young’ adult subjects, aged 16–25, and twenty-five ‘old’ adults, aged 51–60, were used. Each subject saw five versions of three different faces: these consisted of an original version of each face and four manipulated versions of it. The manipulations consisted of mirror reversal, pseudo-cardioidal strain, thresholding, and elimination of all but the internal features of the face. The second experiment was similar except that a between-subjects design was used: each subject saw three faces for each age category of target face, but was exposed to only a single type of manipulation (plus a set of ‘original’ faces which were identical for all groups, so that the comparability of the different groups in age estimation could be checked). Results from both experiments were similar. Age estimates for unmanipulated ‘original’ faces were highly accurate, although subjects were most accurate with target faces that were within their own age range. Results for the manipulated faces implied that the importance of cardioidal strain as a necessary and sufficient cue to age may have been overestimated in previous reports: subjects' age estimates were accurate when cardioidal strain was absent from the stimulus, and poor when cardioidal strain was the only cue available.


2021 ◽  
Vol 38 (3) ◽  
pp. 539-546
Author(s):  
Hichem Telli ◽  
Salim Sbaa ◽  
Salah Eddine Bekhouche ◽  
Fadi Dornaika ◽  
Abdelmalik Taleb-Ahmed ◽  
...  

Recently, automatic personality analysis is becoming an interesting topic for computer vision. Many attempts have been proposed to solve this problem using time-based sequence information. In this paper, we present a new framework for estimating the Big-Five personality traits and job candidate screening variable from video sequences. The framework consists of two parts: (1) the use of Pyramid Multi-level (PML) to extract raw facial textures at different scales and levels; (2) the extension of the Covariance Descriptor (COV) to fuse different local texture features of the face image such as Local Binary Patterns (LBP), Local Directional Pattern (LDP), Binarized Statistical Image Features (BSIF), and Local Phase Quantization (LPQ). Therefore, the COV descriptor uses the textures of PML face parts to generate rich low-level face features that are encoded using concatenation of all PML blocks in a feature vector. Finally, the entire video sequence is represented by aggregating these frame vectors and extracting the most relevant features. The exploratory results on the ChaLearn LAP APA2016 dataset compare well with state-of-the-art methods including deep learning-based methods.


Author(s):  
Yuxiang Long

Face recognition is difficult due to the higher dimension of face image features and fewer training samples. Firstly, in order to improve the performance of feature extraction, we inventively construct a double hierarchical network structure convolution neural network (CNN) model. The front-end network adopts a relatively simple network model to achieve rough feature extraction from input images and obtain multiple suspect face candidate windows. The back-end network uses a relatively complex network model to filter the best detection window and return the face size and position by nonmaximum suppression. Then, in order to fully extract the face features in the optimal window, a face recognition algorithm based on intermediate layers connected by the deep CNN is proposed in this paper. Based on AlexNet, the front, intermediate and end convolution layers are combined by deep connection. Then, the feature vector describing the face image is obtained by the operation of the pooling layer and the full connection layer. Finally, the auxiliary classifier training method is used to train the model to ensure the effectiveness of the features of the intermediate layer. Experimental results based on open face database show that the recognition accuracy of the proposed algorithm is higher than that of other face recognition algorithms compared in this paper.


2012 ◽  
Vol 198-199 ◽  
pp. 1383-1388
Author(s):  
Hong Hai Liu ◽  
Xiang Hua Hou

When extracting the face image features based on pixel distribution in face image, there always exist large amount of calculation and high dimensions of feature sector generated after feature extraction. This paper puts forward a feature extraction method based on prior knowledge of face and Haar feature. Firstly, the Haar feature expressions of face images are classified and the face features are decomposed into edge feature, line feature and center-surround feature, which are further concluded into the expressions of two rectangles, three rectangles and four rectangles. In addition, each rectangle varies in size. However, for face image combination, there exist too much redundancy and large calculation amount in this kind of expression. In order to solve the problem of large amount of calculation, the integral image is adopted to speed up the rectangle feature calculation. In addition, the thought based on classified trainer is adopted to reduce the redundancy expression. The results show that using face image of Haar feature expression can improve the speed and efficiency of recognition.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1029.1-1029
Author(s):  
Y. Livshits ◽  
O. Teplyakova ◽  
A. Sarapulova

Background:Telemedicine counseling (TMC) has gained rapid development during the COVID-19 pandemic. The prospect of using this technology in rheumatology was based on the possibility of getting maximum information about the patient during the survey, examination and interpretation of laboratory and instrumental data, that is excepting direct contact with the patient. Several rheumatological clinics have reported on the success of using TMC. However, there is very little data of the difficulties that can be encountered when organizing this process.Objectives:To characterize the identified problems during TMC in rheumatology, to suggest potential directions for their elimination.Methods:Since June 2021, on the basis of the Medical Association “New Hospital”, Yekaterinburg, Russian Federation, 76 TMCs have been performed on the profile of rheumatology in patients aged 29 to 71 years. Of these, 13 applied to the primary TMC, the other patients were preliminarily examined in person. The consultation included the preliminary acquaintance with the examination results, a 20-minute video communication and writing of a conclusion. After each TMC, a survey was conducted between the doctor and the patient, including the identified deficiencies in counseling. The frequency of identified problems is presented as an absolute indicator and as a percentage of the total number of TMCs performed.Results:We noted a high degree of patient satisfaction: 74 (97.4%) responded that they received answers to all. However, according to the doctor, the following groups of problems were identified.[1]Technical problems in 29 (38.2%): most often there were various problems with the Internet, but there were also registered: the end of the charge on the patient’s tablet, the patient was not registered in the electronic queue. Elimination of these violations depends on the work of IT-specialists, but each consulting physician should be prepared for an immediate transition to an alternative form of communication (for example - telephone).[2]Lack of objective examination, leading to the impossibility of correct remote diagnosis - 8 (10.5%). This problem was identified due to the inability to establish the presence or absence of arthritis during the initial diagnosis (6 cases) and to clarify the nature of the rash (2 cases). All patients are invited for a face-to-face consultation.[3]The need to write prescriptions for psychotropic drugs - 12 (15.8%), which under the conditions of national legislation cannot be done in the TMC regime.[4]The time spent directly on remote communication with the patient was 17.2 minutes (from 8 to 31), however, taking into account the study data and writing the conclusion, the total time was 40.7 minutes (from 21 to 73). Thus, it turned out that the average time for remote and face-to-face consultations is the same, while TMC’s payment is only about 50% of the face-to-face consultation. This situation reduces the doctor’s interest in carrying out TMC. The solution to the problem is associated with reducing the time for the documentation process through technical improvements. In addition, of the 9 patients in whom the TMC process lasted 60 minutes or more, 5 were diagnosed with fibromyalgia. It is possible that with a previously established diagnosis of fibromyalgia, only face-to-face counseling should be recommended to patients.Conclusion:The TMC system is promising, however, there are a number of problems that need to be improved, since they can reduce the doctor’s interest in using this technology.Disclosure of Interests:None declared


1962 ◽  
Vol 40 (1) ◽  
pp. 7-12
Author(s):  
J. M. Langlois ◽  
Guy Lamarche

The projections of the trigeminal nerve in the pontine reticular formation of the cat have been investigated by recording unit activity, after physiological stimulation of the face, in 30 "encéphales isolés" preparations. No somatotopical arrangement was found but a high degree of spatial convergence onto pontine reticular units exists and a certain degree of functional organization was observed.


2019 ◽  
Vol 35 (05) ◽  
pp. 525-533
Author(s):  
Evrim Gülbetekin ◽  
Seda Bayraktar ◽  
Özlenen Özkan ◽  
Hilmi Uysal ◽  
Ömer Özkan

AbstractThe authors tested face discrimination, face recognition, object discrimination, and object recognition in two face transplantation patients (FTPs) who had facial injury since infancy, a patient who had a facial surgery due to a recent wound, and two control subjects. In Experiment 1, the authors showed them original faces and morphed forms of those faces and asked them to rate the similarity between the two. In Experiment 2, they showed old, new, and implicit faces and asked whether they recognized them or not. In Experiment 3, they showed them original objects and morphed forms of those objects and asked them to rate the similarity between the two. In Experiment 4, they showed old, new, and implicit objects and asked whether they recognized them or not. Object discrimination and object recognition performance did not differ between the FTPs and the controls. However, the face discrimination performance of FTP2 and face recognition performance of the FTP1 were poorer than that of the controls were. Therefore, the authors concluded that the structure of the face might affect face processing.


Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1245 ◽  
Author(s):  
Tao Wang ◽  
Wen Wang ◽  
Hui Liu ◽  
Tianping Li

With the revolutionary development of cloud computing and internet of things, the integration and utilization of “big data” resources is a hot topic of the artificial intelligence research. Face recognition technology information has the advantages of being non-replicable, non-stealing, simple and intuitive. Video face tracking in the context of big data has become an important research hotspot in the field of information security. In this paper, a multi-feature fusion adaptive adjustment target tracking window and an adaptive update template particle filter tracking framework algorithm are proposed. Firstly, the skin color and edge features of the face are extracted in the video sequence. The weighted color histogram are extracted which describes the face features. Then we use the integral histogram method to simplify the histogram calculation of the particles. Finally, according to the change of the average distance, the tracking window is adjusted to accurately track the tracking object. At the same time, the algorithm can adaptively update the tracking template which improves the accuracy and accuracy of the tracking. The experimental results show that the proposed method improves the tracking effect and has strong robustness in complex backgrounds such as skin color, illumination changes and face occlusion.


2021 ◽  
Author(s):  
Alice Gomez ◽  
Guillaume Lio ◽  
Manuela Costa ◽  
Angela Sirigu ◽  
Caroline Demily

Abstract Williams syndrome (WS) and Autism Spectrum Disorders (ASD) are psychiatric conditions associated with atypical but opposite face-to-face interactions patterns: WS patients overly stare at others, ASD individuals escape eye contact. Whether these behaviors result from dissociable visual processes within the occipito-temporal pathways is unknown. Using high-density electroencephalography, multivariate pattern classification and group blind source separation, we searched for face-related neural signals that could best discriminate WS (N = 14), ASD (N = 14) and neurotypical populations (N = 14). We found two peaks in neurotypical participants: the first at 170ms, an early signal known to be implicated in low-level face features, the second at 260ms, a late component implicated in decoding salient face social cues. The late 260ms signal varied as a function of the distance of the eyes in the face stimulus with respect to the viewers’ fovea, meaning that it was strongest when the eyes were projected on the fovea and weakest when projected in the retinal periphery. Remarkably, both components were found distinctly impaired and preserved in WS and ASD. In WS, we could weakly decode the 170ms signal probably due to their relatively poor ability to process faces’ morphology while the late 260ms component shown to be eye sensitive was highly significant. The reverse pattern was observed in ASD participants who showed neurotypical like early 170ms evoked activity but impaired late evoked 260ms signal. Our study reveals a dissociation between WS and ASD patients and point at different neural origins for their social impairments.


1968 ◽  
Vol 27 (4) ◽  
pp. 777-790 ◽  
Author(s):  
Steven Piker

Ongoing cultures, by virtue of the personalities they produce and the social arrangements they embody, create tensions or strains for their individual members; and they provide as well for the institutionalized expression and alleviation, if not complete reduction, of these tensions in culturally approved channels. In this view, cultural stability refers not to the absence of persisting conflict on the individual or social level; but rather to a high degree of complementarity between institutionalized sources of strain or conflict for the individual, and institutionalized arrangements for tension reduction or expression. This conception of stability does not assume that all relatively stable cultures are equally productive of psychological well-being, even assuming this nebulous condition could be specified. Nor does it assert that all stable cultures are equally adaptive in the face of external pressures. It does imply, however, that sources of conflict and channels for its expression will be sufficiently balanced to insure perpetuation of culturally standardized social arrangements and beliefs over many generations.


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