The Face and Social Attribution

Shepherd, John

doi:10.1016/b978-0-444-87143-5.50024-x

Cited by 25 publications

(13 citation statements)

References 125 publications

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“…Notice from Figure.7 (last column) that nasal bridge length (N-Prn) and nasal height (Sn-Prn) stand out as one of the most significant features in classifying the gender. This result corroborates the findings of researchers [4], [5] who claim that the male nose is longer and more pointed than that of their female counterparts.…”

Section: Discussionsupporting

confidence: 82%

“…Enlow et al [4] argue that men have a wider and longer nose as compared to women and that the male forehead is more curved and sloping than the female forehead. Similarly Shepherd et al [5] claim that female nose is less pointed than the male nose. Farkas et al [6] identified a set of 23 biologically relevant anatomical facial landmarks (see Figure. 2a.)…”

Section: Introductionmentioning

confidence: 99%

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Biologically Significant Facial Landmarks: How Significant Are They for Gender Classification?

Gilani

Mian

2013

2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

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Abstract-Automatic gender classification has many applications in human computer interaction. However, to determine the gender of an unseen face is challenging because of the diversity and variations in the human face. In this paper, we explore the importance of biologically significant facial landmarks for gender classification and propose a fully automatic gender classification algorithm. We extract 3D Euclidean and Geodesic distances between these landmarks and use feature selection to determine the relative importance of the biological landmarks for classifying gender. Unlike existing techniques, our algorithm is fully automatic since all landmarks are automatically detected. Experiments on one of the largest 3D face databases FRGC v2 show that our algorithm outperforms all existing techniques by a significant margin.

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Section: Discussionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Biologically Significant Facial Landmarks: How Significant Are They for Gender Classification?

Gilani

Mian

2013

2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

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“…Further, due to constraints on time and resources, the focus is on Caucasian women only. However, it should be mentioned that researchers, such as Shepherd (1989) and Cunningham, Roberts, Barbee, and Druen (1995), have shown that there is wide consensus about standards of attractiveness between ages, races, and nationalities in terms of facial proportions.…”

Section: Advertising Images Of Health and Beautymentioning

confidence: 96%

How well do advertising images of health and beauty travel across cultures? A self-concept perspective

Bjerke¹,

Polegato

2006

Psychol. Mark.

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This study is a cross-cultural examination of the ideal self-image of women in terms of health and beauty. The match-up between two advertising beauty types (possible advertising presenters) and female consumers' ideal health and beauty images in terms of wanting to look like a specific model were tested with 750 female respondents from five European cities. The respondents also identified the ideal eye and hair colors for health and beauty. This quantitative study revealed cross-cultural variation in ideal self-image in terms of healthy and beautiful beauty types. International advertisers need to understand the important, contemporary, cultural characteristics of an ideal beauty type in terms of healthy or beautiful before developing standardized advertising communicating such appeals.

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“…The issues surrounding this ability have been studied by neurophysiologists (Perrett, Hietanen, Oram, & Benson, 1992;Gross, 1992;Sergent, Ohta, MacDonald, & Zuck, 1994). cognitive psychologists (Bruce, & Young, 1986;Rhodes, Brake, & Atkinson, 1993;Ellis, 1992), social psychologists (Ekman, & Friesen, 1976;Shepherd, 1989) and computer scientists (Kohonen, Oja, & Lehtio, 1981;Pentland, Moghaddam, & Stamer, 1994;Lades, Vorbruggen, Buhmann, Lange, von der Malsburg, Wurtz, & Konen, 1993; for reviews see Chellappa, Wilson, & Sirohey, 1995, Valentin, Abdi, O'Toole, & Cottrell, 1994. These various disciplinary groups have brought converging evidence to the problem of how faces are recognized.…”

Section: Introductionmentioning

confidence: 99%

From pixels to people: A model of familiar face recognition

1999

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Research in face recognition has largely been divided between those projects concerned with front-end image processing and those projects concerned with memory for familiar people. These perceptual and cognitive programmes of research have proceeded in parallel, with only limited mutual influence. In this paper we present a model of human face recognition which combines both a perceptual and a cognitive component. The perceptual front-end is based on principal components analysis of face images, and the cognitive back-end is based on a simple interactive activation and competition architecture. We demonstrate that this model has a much wider predictive range than either perceptual or cognitive models alone, and we show that this type of combination is necessary in order to analyse some important effects in human face recognition. In sum, the model takes varying images of "known" faces and delivers information about these people.

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The Face and Social Attribution

Cited by 25 publications

References 125 publications

Biologically Significant Facial Landmarks: How Significant Are They for Gender Classification?

Biologically Significant Facial Landmarks: How Significant Are They for Gender Classification?

How well do advertising images of health and beauty travel across cultures? A self-concept perspective

From pixels to people: A model of familiar face recognition

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