Coding spatial variations in faces and simple shapes: a test of two models

Faces all have the same basic elements in the same overall arrangement, and must be discriminated using variations in this shared configuration. An efficient way to represent these variations would be to code how each configuration differs from an average face (norm-based coding model). Alternatively, configurations could be represented simply by coding their absolute values in some coordinate system (absolute coding model). The two models differ in the variables they predict will influence an image's recognizability. Absolute coding predicts that recognizability will depend on an image's distinctiveness and degree of distortion from its veridical target. Norm-based coding predicts that recognizability will also depend on the way the image differs from a norm or average face, namely its distance from the norm and/or its degree of displacement from the norm-deviation vector for the target. We determined the effects of these four critical variables on recognition of undistorted (veridical) images, caricatures, anticaricatures and 'lateral' distortions of famous faces (Experiment 1), newly learned faces (Experiment 2), and simple shapes that also share a configuration (Experiment 2). The results favored absolute coding of both faces and shapes, and indicate that caricatures derive their power from their distinctiveness.

[1]  H. Ellis,et al.  Age Effects in the Processing of Typical and Distinctive Faces , 1995, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[2]  J. Langlois,et al.  What Is Average and What Is Not Average About Attractive Faces? , 1994 .

[3]  V. Bruce,et al.  What's Distinctive about a Distinctive Face? , 1994, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[4]  David I. Perrett,et al.  Self priming from distinctive and caricatured faces , 1996 .

[5]  G. Winocur,et al.  What Is Special about Face Recognition? Nineteen Experiments on a Person with Visual Object Agnosia and Dyslexia but Normal Face Recognition , 1997, Journal of Cognitive Neuroscience.

[6]  J. Read,et al.  Effects of Uniqueness, Sex of Subject, and Sex of Photograph on Facial Recognition , 1974 .

[7]  G. Rhodes.  Superportraits: Caricatures and Recognition , 1996 .

[8]  D. Perrett,et al.  Perception and recognition of photographic quality facial caricatures: Implications for the recognition of natural images , 1991 .

[9]  G. Rhodes,et al.  Facial Distinctiveness and the Power of Caricatures , 1997, Perception.

[10]  V. Bruce,et al.  The Effects of Distinctiveness in Recognising and Classifying Faces , 1986, Perception.

[11]  E Winograd,et al.  Elaboration and distinctiveness in memory for faces. , 1981, Journal of experimental psychology. Human learning and memory.

[12]  F. Moore.  Cognitive development and the acquisition of language , 1973 .

[13]  Sarah V. Stevenage,et al.  Can caricatures really produce distinctiveness effects , 1995 .

[14]  I. Biederman.  Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.

[15]  Vision Research , 1961, Nature.

[16]  S. Carey,et al.  Why faces are and are not special: an effect of expertise. , 1986, Journal of experimental psychology. General.

[17]  Gillian Rhodes,et al.  Recognition of own-race and other-race caricatures: implications for models of face recognition , 1998, Vision Research.

[18]  D. Thomson,et al.  Development of face recognition. , 1995, British journal of psychology.

[19]  G. Rhodes,et al.  Identification and ratings of caricatures: Implications for mental representations of faces , 1987, Cognitive Psychology.

[20]  Vicki Bruce,et al.  Describing the shapes of faces using surface primitives , 1993, Image Vis. Comput..

[21]  Michelle E. Cohen,et al.  Facial recognition and the von Restorff effect , 1975 .

[22]  D. Perrett,et al.  Visual Processing of Facial Distinctiveness , 1994, Perception.

[23]  H. P. Bahrick,et al.  Fifty years of memory for names and faces: A cross-sectional approach. , 1975 .

[24]  J. Langlois,et al.  Attractive Faces Are Only Average , 1990 .

[25]  T. Valentine.  The Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology a Unified Account of the Effects of Distinctiveness, Inversion, and Race in Face Recognition , 2022 .

[26]  V. Bruce,et al.  Face processing: Human perception and principal components analysis , 1996, Memory & cognition.

[27]  A. Tversky.  Features of Similarity , 1977 .

[28]  F. Attneave,et al.  Transfer of experience with a class-schema to identification-learning of patterns and shapes. , 1957, Journal of experimental psychology.

[29]  Michael Kubovy,et al.  Caricature and face recognition , 1992, Memory & cognition.

[30]  J. Bartlett,et al.  Typicality and familiarity of faces , 1984, Memory & cognition.

[31]  G. Rhodes,et al.  Understanding face recognition: Caricauture effects, inversion, and the homogeneity problem , 1994 .

[32]  S Hollander,et al.  Recognition memory for typical and unusual faces. , 1979, Journal of experimental psychology. Human learning and memory.

[33]  S. Carey.  Becoming a face expert. , 1992, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[34]  M. Farah.  Is face recognition ‘special’? Evidence from neuropsychology , 1996, Behavioural Brain Research.

[35]  A. G. Goldstein,et al.  Memory for Faces and Schema Theory , 1980 .

[36]  V Bruce,et al.  Perceiving the sex and race of faces: the role of shape and colour , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[37]  G. Rhodes,et al.  Averageness, Exaggeration, and Facial Attractiveness , 1996 .

[38]  H. Ellis,et al.  Perceiving and remembering faces , 1983 .

[39]  G. Rhodes,et al.  Distinctiveness and Expertise Effects with Homogeneous Stimuli: Towards a Model of Configural Coding , 1990, Perception.

[40]  D. Perrett,et al.  Perception of age in adult Caucasian male faces: computer graphic manipulation of shape and colour information , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[41]  E. Rosch.  ON THE INTERNAL STRUCTURE OF PERCEPTUAL AND SEMANTIC CATEGORIES1 , 1973 .