Abstract
We have presented a precise model of a face, based on the latest knowledge of face asymmetry, ophthalmogeometry, brain hemispheres functioning asymmetry phenomena, and, in a sense, suited to the specification of the problem of the creation of modern and prospect person’s authentication/identification information techniques in live biometrics and/or human-computer interaction, identification of cognition-psyche type of personality in human resource management, education, and so on.
The result of the creation and new ideas of development are presented: 1) a procedure of 2D normalization of a single 2D frontal view of a face image using a unit called the Muld, 2) an algorithm of person’s ophthahnologic pattern visualization, 3) an algorithm of the synthesis of special pictures (composites) for face asymmetry characteristics evaluation, 4) a criterion and algorithm of precise mapping and evaluating the pseudo-informational similarity of compared objects in a holistic manner, 5) some theses concerning the cognition-psyche and interdisciplinary interpretation of gained information parameters. The above mentioned type of a face representation has been called Czestochowa’s face. The model is aimed at being used in different modern areas: human-computer interactions, person live biometric authentication/ identification, person cognition-psyche type identification for human resource management and education, smart environment design, and other similar cutting-edge information technology applications.
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Kompanets, L., Kubanek, M., Rydzek, S. (2005). Czestochowa’s Precise Model of a Face Based on the Facial Asymmetry, Ophthalmogeometry, and Brain Asymmetry Phenomena: the Idea and Algorithm Sketch. In: Pejaś, J., Piegat, A. (eds) Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems. Springer, Boston, MA. https://doi.org/10.1007/0-387-23484-5_24
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DOI: https://doi.org/10.1007/0-387-23484-5_24
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