Abstract
Faces are complex and important visual stimuli for humans and are subject to many psychophysical and computational studies. A new parametric method for generating synthetic faces is proposed in this study. Two separate programs, one in Delphi 2005 programming environment and another in MATLAB is developed to sample real faces and generating synthetic faces respectively. The user can choose to utilize default configurations or to customize specific configurations to generate a set of synthetic faces. Head-shape and inner-hairline is sampled in a polar coordinate frame, located at the center of line connecting two eyes at 16 and 9 equ-angular positions. Three separate frames are placed at the left eyes center, nose tip and lips to sample them with 20, 30 and 44 angular points respectively. Eyebrows are sampled with 8 points in eye coordinate systems. Augmenting vectors representing these features and their distance from the origin generates a vector of size 95. For synthesized face, intermediate points are generated using spline curves and the whole image is then band pass filtered. Two experiments are designed to show that the set of generated synthetic faces match very well with their equivalent real faces.
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References
Valentine, T.: Face-Space Models of Face Recognition, Computational, geometric, and process perspectives on facial cognition: Contexts and challenges. Lawrence Erlbaum Associates Inc., Hillsdale (1999)
Brunswik, E., Reiter, L.: Eindruckscharaktere Schematisierter Gesichter. Zeitschrift fur Psychologie 142, 67–135 (1937)
Sigala, N., Logothetis, N.K.: Visual Categorization Shapes Feature Selectivity in the Primate Temporal Cortex. Nature 415, 318–320 (2002)
Wilson, H.R., Loffler, G., Wilkinson, F.: Synthetic Faces, Face cubes, and the Geometry of Face Space. Vision Research 42, 2909–2923 (2002)
Bruce, V., Young, A.: In the Eye of the Beholder: the Science of Face Perception. Oxford University Press, Oxford (1998)
Tanaka, J.W., Farah, M.J.: Parts and Wholes in Face Recognition. Quarterly Journal of Experimental Psychology Section A—Human Experimental Psychology 46, 225–245 (1993)
Collishaw, S.M., Hole, G.J.: Featural and Configurational Processes in the Recognition of Faces of Different Familiarity. Perception 29, 893–909 (2000)
Tanaka, J.W., Sengco, J.A.: Features and Their Configuration in Face Recognition. Memory and Cognition 25, 583–592 (1997)
Costen, N.P., Parker, D.M., Craw, I.: Effects of High-pass and Low-pass Spatial Filtering on Face Identification. Perception and Psychophysics 58, 602–612 (1996)
Fiorentini, A., Maffei, L., Sandini, G.: The Role of High Spatial Frequencies in Face Perception. Perception 12, 195–201 (1993)
Gold, J., Bennett, P.J., Sekuler, A.B.: Identification of Bandpass Filtered Letters and Faces by Human and Ideal Observers. Vision Research 39, 3537–3560 (1999)
Hayes, T., Morrone, M.C., Burr, D.C.: Recognition of Positive and Negative Bandpass Filtered Images. Perception 15, 595–602 (1986)
Nasanen, R.: Spatial Frequency Bandwidth Used in the Recognition of Facial Images. Vision Research 39, 3824–3833 (1999)
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Borji, A. (2008). A New Method for Synthetic Face Generation Using Spline Curves. In: Caputo, B., Vincze, M. (eds) Cognitive Vision. ICVW 2008. Lecture Notes in Computer Science, vol 5329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92781-5_2
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DOI: https://doi.org/10.1007/978-3-540-92781-5_2
Publisher Name: Springer, Berlin, Heidelberg
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