An Analytic-to-Holistic Approach for Face Recognition Based on a Single Frontal View
IEEE Transactions on Pattern Analysis and Machine Intelligence
Looking at People: Sensing for Ubiquitous and Wearable Computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mental Characteristics of Person as Basic Biometrics
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
| Hi-index | 0.00 |
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 ophthalmologic 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.