Recognizing expression from familiar and unfamiliar faces

2000 ◽  
Vol 8 (1) ◽  
pp. 123-146 ◽  
Author(s):  
Jean Yves Baudouin ◽  
Stéphane Sansone ◽  
Guy Tiberghien
Keyword(s):  
Face Recognition ◽  
Mouth Region ◽  
Presentation Time ◽  
Short Presentation Time ◽  
The Relationship ◽  
Unfamiliar Faces ◽  
Black Rectangle ◽  
Short Presentation ◽  
Better Than

The aim of this study was to clarify the relationship between accessing the identity of a face and making decisions about its expression. Three experiments are reported in which undergraduate subjects made expression decisions about familiar and unfamiliar faces. The decision was slowed either by concealing the mouth region with a black rectangle (experiment 1) or by using a short presentation time (experiments 2 and 3). Results of experiment 1 showed that subjects recognized the displayed expression of celebrities better than those of unknown persons when information from the mouth was not available. Results of experiment 2 showed that they recognized the expression displayed by celebrities more easily when the presentation time was short. Experiment 3, using familiarized faces, replicated the results of experiments 1 and 2 and ruled out a possible explanation of these results by the use of some identity specific representations that are expressive. Implications for face recognition models are discussed.

When Feature Information Comes First! Early Processing of Inverted Faces

Perception ◽  
10.1068/p5192 ◽  
2005 ◽  
Vol 34 (9) ◽  
pp. 1117-1134 ◽  
Author(s):  
Claus-Christian Carbon ◽  
Helmut Leder
Keyword(s):  
Information Processing ◽  
Face Recognition ◽  
Face Processing ◽  
Contextual Information ◽  
Presentation Time ◽  
Early Processing ◽  
Feature Information ◽  
Short Presentation Time ◽  
Short Presentation

We investigated the early stages of face recognition and the role of featural and holistic face information. We exploited the fact that, on inversion, the alienating disorientation of the eyes and mouth in thatcherised faces is hardly detectable. This effect allows featural and holistic information to be dissociated and was used to test specific face-processing hypotheses. In inverted thatcherised faces, the cardinal features are already correctly oriented, whereas in undistorted faces, the whole Gestalt is coherent but all information is disoriented. Experiment 1 and experiment 3 revealed that, for inverted faces, featural information processing precedes holistic information. Moreover, the processing of contextual information is necessary to process local featural information within a short presentation time (26 ms). Furthermore, for upright faces, holistic information seems to be available faster than for inverted faces (experiment 2). These differences in processing inverted and upright faces presumably cause the differential importance of featural and holistic information for inverted and upright faces.

scholarly journals How robust is familiar face recognition? A repeat detection study of more than 1000 faces

2018 ◽  
Vol 5 (5) ◽  
pp. 170634
Author(s):  
Angus F. Chapman ◽  
Hannah Hawkins-Elder ◽  
Tirta Susilo
Keyword(s):  
Face Recognition ◽  
Detection Task ◽  
Familiar Face ◽  
Robust Representation ◽  
Face Images ◽  
Unfamiliar Face ◽  
Unfamiliar Faces ◽  
Repeat Detection ◽  
Better Than

Recent theories suggest that familiar faces have a robust representation in memory because they have been encountered over a wide variety of contexts and image changes (e.g. lighting, viewpoint and expression). By contrast, unfamiliar faces are encountered only once, and so they do not benefit from such richness of experience and are represented based on image-specific details. In this registered report, we used a repeat detection task to test whether familiar faces are recognized better than unfamiliar faces across image changes. Participants viewed a stream of more than 1000 celebrity face images for 0.5 s each, any of which might be repeated at a later point and has to be detected. Some participants saw the same image at repeats, while others saw a different image of the same face. A post-experimental familiarity check allowed us to determine which celebrities were and were not familiar to each participant. We had three predictions: (i) detection would be better for familiar than unfamiliar faces, (ii) detection would be better across same rather than different images, and (iii) detection of familiar faces would be comparable across same and different images, but detection of unfamiliar faces would be poorer across different images. We obtained support for the first two predictions but not the last. Instead, we found that repeat detection of faces, regardless of familiarity, was poorer across different images. Our study suggests that the robustness of familiar face recognition may have limits, and that under some conditions, familiar face recognition can be just as influenced by image changes as unfamiliar face recognition.

Facial Distinctiveness and the Power of Caricatures

Perception ◽  
1997 ◽  
Vol 26 (2) ◽  
pp. 207-223 ◽  
Author(s):  
Gillian Rhodes ◽  
Graham Byatt ◽  
Tanya Tremewan ◽  
Anthony Kennedy
Keyword(s):  
Line Drawing ◽  
Careful Analysis ◽  
Experimental Conditions ◽  
Line Drawings ◽  
Photographic Images ◽  
The Relationship ◽  
Unfamiliar Faces ◽  
Better Than

Caricatures, which increase the distinctiveness of faces, are generally recognised at least as well as undistorted images of those faces. However, caricatures seem to facilitate recognition more for some faces than others. An investigation was made into whether the effectiveness of caricaturing depends on a face‘s initial distinctiveness. In experiments 1–3, subjects learned names for unfamiliar faces (photographs) that varied in distinctiveness, and were tested on recognition of caricatures, anticaricatures, and undistorted images of those faces. The test images were line drawings in experiments 1 and 2 and photographic images in experiment 3. Experiments 1 and 2 were identical except that subjects had more exposure to the study photographs in experiment 1. In all three experiments, distinctive faces were recognised (named) more accurately than less-distinctive faces, and caricatures were recognised at least as accurately as undistorted images and better than anticaricatures. However, distinctiveness and caricature level did not interact. Nor did a face's initial distinctiveness correlate with the degree of recognition facilitation produced by caricaturing (experiments 1–3) or with the caricature level chosen as the best likeness (experiment 4). The effectiveness of caricatures varied across faces and experimental conditions, but these differences did not relate to differences in initial distinctiveness. These results prompted a more careful analysis of the expected relationship between initial distinctiveness and the power of caricatures, which indicated that the relationship may be curvilinear rather than linear. In addition, it was found that line-drawing caricatures functioned as superportraits (recognised better than undistorted images—experiment 1) but photographic caricatures did not (experiment 3), suggesting that the forensic potential of caricatures may be limited.

Effects of Facial Identity on Age Judgments

2010 ◽  
Vol 57 (5) ◽  
pp. 390-397 ◽  
Author(s):  
Yuly Dagovitch ◽  
Tzvi Ganel
Keyword(s):  
Face Recognition ◽  
Repetition Priming ◽  
Experimental Session ◽  
Priming Effects ◽  
Facial Identity ◽  
Priming Paradigm ◽  
Memory Representations ◽  
The Relationship ◽  
Unfamiliar Faces ◽  
Facial Age

According to current face recognition models, facial identity is processed independently from other visually derived facial aspects, such as facial age. Here we used a repetition priming paradigm to investigate the relationship between the processing of facial identity and facial age. In Experiment 1, participants made speeded age classifications for primed and unprimed faces of famous celebrities. Performance was faster and more accurate for primed compared to unprimed faces, which indicates that the processing of facial age benefits from priming effects. In Experiment 2, priming was also found for preexperimentally unfamiliar faces which were familiarized during the experimental session. In Experiment 3, priming effects were found even when different photos of the same people were presented at study and at test. These results suggest that the processing of age is mediated by memory representations of facial identity.

Searching for Politicians: An Information-Processing Approach to Face Recognition

1979 ◽  
Vol 31 (3) ◽  
pp. 373-396 ◽  
Author(s):  
Vicki Bruce
Keyword(s):  
Face Recognition ◽  
Search Time ◽  
Semantic Category ◽  
Similar Function ◽  
Set Size ◽  
Single Target ◽  
Target Set ◽  
The Relationship ◽  
Unfamiliar Faces ◽  
Information Processing Approach

Previous work on face recognition has concentrated on the processing of unfamiliar faces. This paper examines the recognition of already familiar faces, specifically politicians. Three experiments are described in which the subject's task was to search through a series of faces for particular target politicians. In Experiment I the function relating search time to target set size was found to be negatively accelerated. A similar function was observed when names were used as search items. In Experiment II all subjects searched for four targets, and the relationship between distractors and target items was varied. Distractors rated visually similar to the targets took longer to reject than those rated dissimilar. Distractors who were other politicians took longer to reject than actors, and this effect of semantic category was independent of visual similarity. In Experiment III, where subjects searched for a single target, semantic category appeared only to have an effect when the distractors were also visually similar to the target. Models of the rejection process are discussed, and the similarities between the effects observed here, with faces, and those reported elsewhere for words are pointed out.

scholarly journals Advertising Media Impact in Consumer Buying Behavior

2019 ◽  
Vol 8 ◽  
pp. 54-56
Author(s):  
Ashmita Dahal Chhetri
Keyword(s):  
Consumer Behavior ◽  
Young Male ◽  
Electronic Media ◽  
Buying Behavior ◽  
Media Impact ◽  
High Degree ◽  
The Impact ◽  
Buying Behaviors ◽  
The Relationship ◽  
Better Than

Advertisements have been used for many years to influence the buying behaviors of the consumers. Advertisements are helpful in creating the awareness and perception among the customers of a product. This particular research was conducted on the 100 young male and female who use different brands of product to check the influence of advertisement on their buying behavior while creating the awareness and building the perceptions. Correlation, regression and other statistical tools were used to identify the relationship between these variables. The results revealed that the relationship between media and consumer behavior is positive. The adve1tising impact on sales and there is positive and high degree relationship between advertising and consumer behavior. The impact on advertising of a product of electronic media is better than non-electronic media.

scholarly journals Comparative Study on Relative Fossil Energy Carrying Capacity in China and the United States

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2972
Author(s):  
Zhili Zuo ◽  
Jinhua Cheng ◽  
Haixiang Guo ◽  
Yonglin Li
Keyword(s):  
United States ◽  
Carrying Capacity ◽  
The United States ◽  
Reference Area ◽  
Energy Sustainability ◽  
Fossil Energy ◽  
The Relationship ◽  
Population And Environment ◽  
Better Than ◽  
Innovative Concept

Based on resource carrying capacity, this study used the revised theory of relative resource carrying capacity (RRCC) and introduced an innovative concept of relative fossil energy carrying capacity (RFECC), which evaluates the degree of fossil energy sustainability based on the relationship between economy, population, and environment. This study took China and the United States as the study objects, took the whole country as the reference area, and calculated the RFECC of population, economic, and environmental resources from 2000 to 2018. Therefore, based on the comparative analysis, the following conclusions were drawn: (i) there is a big difference in the RFECC between China and the United States, which is manifested in the inverted U-shaped trend in China and the U-shaped trend in the United States; (ii) the relative fossil energy carrying states in China and the United States are different, mainly reflected in the economy and environment; (iii) the gap in RFECC between China and the United States has gradually widened; in general, China’s economic RFECC is better than that of the United States, while environmental RFECC and population RFECC in the United States is better than that of China; and (iv) coal and oil should be used as a breakthrough point for the sustainable fossil energy and sustainable development for China and the United States, respectively.

scholarly journals Algorithmic and human prediction of success in human collaboration from visual features

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Martin Saveski ◽  
Edmond Awad ◽  
Iyad Rahwan ◽  
Manuel Cebrian
Keyword(s):  
Machine Learning ◽  
Visual Cues ◽  
Success Factors ◽  
Group Performance ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Adventure Game ◽  
Group Success ◽  
The Relationship ◽  
Better Than

AbstractAs groups are increasingly taking over individual experts in many tasks, it is ever more important to understand the determinants of group success. In this paper, we study the patterns of group success in Escape The Room, a physical adventure game in which a group is tasked with escaping a maze by collectively solving a series of puzzles. We investigate (1) the characteristics of successful groups, and (2) how accurately humans and machines can spot them from a group photo. The relationship between these two questions is based on the hypothesis that the characteristics of successful groups are encoded by features that can be spotted in their photo. We analyze >43K group photos (one photo per group) taken after groups have completed the game—from which all explicit performance-signaling information has been removed. First, we find that groups that are larger, older and more gender but less age diverse are significantly more likely to escape. Second, we compare humans and off-the-shelf machine learning algorithms at predicting whether a group escaped or not based on the completion photo. We find that individual guesses by humans achieve 58.3% accuracy, better than random, but worse than machines which display 71.6% accuracy. When humans are trained to guess by observing only four labeled photos, their accuracy increases to 64%. However, training humans on more labeled examples (eight or twelve) leads to a slight, but statistically insignificant improvement in accuracy (67.4%). Humans in the best training condition perform on par with two, but worse than three out of the five machine learning algorithms we evaluated. Our work illustrates the potentials and the limitations of machine learning systems in evaluating group performance and identifying success factors based on sparse visual cues.

Chaos Glowworm Swarm Optimization Algorithm Based on Cloud Model for Face Recognition

2020 ◽  
Vol 34 (12) ◽  
pp. 2056009
Author(s):  
Guangyu Zhou ◽  
Aijia Ouyang ◽  
Yuming Xu
Keyword(s):  
Face Recognition ◽  
Cloud Model ◽  
Cuckoo Search ◽  
Global Optimum ◽  
Convergence Speed ◽  
Invasive Weed ◽  
Swarm Optimization ◽  
Hybrid Particle Swarm Optimization ◽  
Glowworm Swarm Optimization ◽  
Better Than

To overcome the shortcomings of the basic glowworm swarm optimization (GSO) algorithm, such as low accuracy, slow convergence speed and easy to fall into local minima, chaos algorithm and cloud model algorithm are introduced to optimize the evolution mechanism of GSO, and a chaos GSO algorithm based on cloud model (CMCGSO) is proposed in the paper. The simulation results of benchmark function of global optimization show that the CMCGSO algorithm performs better than the cuckoo search (CS), invasive weed optimization (IWO), hybrid particle swarm optimization (HPSO), and chaos glowworm swarm optimization (CGSO) algorithm, and CMCGSO has the advantages of high accuracy, fast convergence speed and strong robustness to find the global optimum. Finally, the CMCGSO algorithm is used to solve the problem of face recognition, and the results are better than the methods from literatures.

The use of faecal nitrogen as an index for estimating the consumption of herbage by grazing animals

1963 ◽  
Vol 61 (1) ◽  
pp. 33-43 ◽  
Author(s):  
G. W. Arnold ◽  
M. L. Dudzinski
Keyword(s):  
Organic Matter ◽  
Nitrogen Concentration ◽  
Linear Equations ◽  
Slope Position ◽  
Seasonal Differences ◽  
Faecal Nitrogen ◽  
Independent Variable ◽  
Regression Relations ◽  
The Relationship ◽  
Better Than

Data from thirty-five digestibility trials with sheep in metabolism cages were used to investigate statistically the relationships between organic matter intake (I), faecal organic matter output (F), and the nitrogen concentration in faecal organic matter (N).The data fell easily into groups due to botanical or seasonal differences in the feed. These groups of data were homogeneous and provided highly significant linear equations of the forms I = bF + cFN and I = a + cFN. When compared these groups of data sometimes showed differences in slope, position or both. A quadratic expressionI = bF + cFN + dFN2was found to accommodate a majority of the data but to be less precise than I = a + cFN.A further expression incorporating N as an independent variable was also examined,I = a + cFN2 + eN.This expression, although far from being universally adequate, proved to be generally better than existing formulae. When applied to the data of Greenhalgh et. al. (1960), it substantially reduced heterogeneity between data for spring and data for summer pastures.Causes of variation in the relationship between organic-matter intake and nitrogen in faeces, and some of the hazards of extrapolation from empirical regression relations, are discussed.

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