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PL
Praca dotyczy wykorzystania cech biometrycznych, wynikających z wyglądu twarzy, do celów weryfikacyjnych. Opisano w niej różne metody doboru i analizy cech podczas rozpoznawania twarzy. Zamieszczony opis zawiera przede wszystkim możliwość analizy, a w późniejszych etapach – weryfikacji tożsamości na podstawie cech asymetrycznych twarzy. Zaproponowano nową metodę weryfikacji na podstawie wyznaczonych punktów charakterystycznych, bazującą na odpowiednim zakodowaniu informacji o asymetrii twarzy w postaci wektorów obserwacji i rozpoznawaniu z wykorzystaniem ukrytych modeli Markowa.
EN
The research refers to making use of biometrical features, beeing result of the look of the face, for the verification purposes. Different methods of collecting and analysing of features during face recognition, have been described. Presented description conveys first of all the analyse possibility and in the further stages – identity verification on the basis of face assymetry. The new method of verification has been proposed, taking into account chosen characteristic poins, being based on proper information code concerning face assymetry, represented by both – observation vectors and recognition, with the use of hidden Markow’s models.
EN
In modern biometric applications as well as in applications from the range of advanced artificial intelligence and psychology, quantitative "measuring" of information with the traits of facial asymmetry and its proper interpretation was initiated; the aims may be authentication/identification of a user and/or defining cognitive-mental personnel types in terms of psychological-social context. In the work, the result of novel supposition and experiment in direction of algorithmization of indispensable procedures of the above mentioned approach provides: 1) finding the "truthful" vertical facial axis projection on the base of it's frontal image, 2) creation and experimental verification of new (linear and area) integral measures of geometrical asymmetry of comparable faces. A forming procedure of elaborated technique is so-called the MwW-normalization of a frontal facial image in absolute length/area units called Muld/Muld². Muld[pixel] equals 10 ± 0.56 mm (that is external diameter of eye iris of any person, which has reached 4 years old). Muld² [pixel] equals the proper area of eye iris on a person's image. The work contains also interesting knowledge concerning the context of elaborated technique.
EN
In the paper, the results of transdisciplinary scientific-technical analysis of current state-of-the-art in "human being" fields, and some author's insights and specific studies are presented. It is shown that transdisciplinary development direction in "human being" fields is the qualitative broadening of knowledge about human, especially about his cognition-personality features. For example, in disciplines concerning human - quite a current issue is the change (shift) of the actual paradigm in the direction of the novel understanding of reality, existence, and human nature; in management - solving of the basic problem of the evaluation of mental workers (personnel) effectiveness and the creation of synergic work teams; in net communication - providing a higher level of security than with PKI (Public Key Infrastructure) by the creation of live biometrics techniques; in computer aided human work - urgent development of artificial intelligence methods; in smart environments creation - the study of the technologies of interpretation of human behavior and interactions coordination. Selected systemic problems are also discussed: biometric myths and an inevitability of different kind identification errors; fusion of biometrics; abilities of modern cognitive vision; emergence of novel direction in biometrics - "asymmetry" live biometrics. As new studies, there are presented some ideas, sketches and opportunities, namely: 1) ophthalmogeometric biometric technique, 2) face asymmetry biometric technique, 3) Czestochowa's model of an asymmetric face, 4) S. Bellinger's geometric typology of personality and T. Valchuk's mental one. A. Anuashvili's typology, which bases on the objective parameter measurement of brain hemispheres functioning, are discussed. Simultaneously, new instruments (pseudo-information criteria, algorithms of biometric feature measurement, and holistic manner of results interpretation) are discussed.
EN
Traditionally, in face authentication/identification methods the presumption concerning face/head symmetry is used. For novel applications that concern creating techniques by means of which it is possible to reproduce the extraordinary complexity of skin, muscle, eye and hair movements that convey emotion, gesture, psychological state or psycho-sociological traits, we begin to create new research direction called Biometrics of Asymmetrical Face. Apart from the direct study of new biometric technique type -the ophthalmogeometrical one - the new essential problem in this direction is the ability of interpretation of untapped "subtle" primary face information in psychological construct terms. The new direction study is based on modern knowledge of face authentic-ation/identification methods, the ophthalmogeometry, and functional brain asymmetry phenomena, knowledge of psychological testing of personal types. In the paper, it is presented a novel type of precise normalized model of a face called Czestochowa-face model, in the sense suiting the specification of the problem of mod-rn and prospect person's authentication/identification techniques creation in live biometrics. In addition the ophthalmogeometrical technique will be created and partially researched and attention has been also drawn to interdisciplinary research context. Beside the first-hand usage, the new technique may be employed in the areas of human-computer interaction, identification of cognition-psyche type of personality for personnel management, advanced education, and so on.
PL
Przedstawiono wyniki opracowania teoretycznego i eksperymentalnego doświadczenia stworzonej przez autorów biometrycznej metody pomiarów asymetrii twarzy. Pomiar zrealizowano za pomocą pseudoinformacyjnego kryterium JeK oceny podobieństwa skomplikowanych kształtów.
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