Wyniki wyszukiwania - BazTech

1

Verification research of multi-biometric recognition system

Wiśnios M.

Spektrum

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2014

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nr 1-2

V--IX

EN

This paper presents the results of the verification of multi-biometric recognition system. Due to practical tests, probability values of the correct identification of persons evaluated for the original multi-biometric platform are given. Ones of basic methods implemented in the multibiometric system is identification based on facial image and voice analisys.

PL

Artykuł przedstawia wyniki weryfikacji działania systemu multibiometrycznego rozpoznawania osób. Podczas praktycznych testów wyznaczono wartości prawdopodobieństwa prawidłowej identyfikacji osób. Jedną z podstawowych metody zaimplementowanych w systemie jest identyfikacja oparta o obraz twarzy i analizę głosu.

2

Przegląd wybranych technik i środków wpływających na niezawodność działania systemów akwizycji obrazu twarzy

Wiśnios M., Dąbrowski T.

Journal of KONBiN

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2014

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No. 1 (29)

49--58

PL

Tematem opracowania jest przegląd technik i środków wpływających na niezawodność procesu akwizycji obrazu twarzy. Problematyka ta ściśle związana jest z identyfikacją biometryczną opartą o obraz twarzy. Skupiono się tu w szczególności na czynnikach zewnętrznych - środowiskowych, bez uwzględniania jakości działania samych algorytmów. Badania zostały przeprowadzone zarówno na bazie danych zbudowanej w oparciu o model (fantom) twarzy jak i w oparciu o obrazy rzeczywiste. System będący obiektem badań predystynowany jest nie tylko do zastosowań stacjonarnych, ale może być również wykorzystany w obiektach mobilnych.

EN

The theme of the publication is to review techniques and measures affecting the reliability of the process of image acquisition face. This issue is closely linked to the biometric identification based on facial image. The focus here in particular on factors external / environmental, not taking into account the quality of this same algorithms. Tests were carried out both on a database built on the model of the face as well as on the basis of the actual images. The object of the research being predestined is not only for stationary applications, but can also be used in mobile objects.

3

Profiling bell’s palsy based on House - Brackmann score

Song I., Vong J., Yen N. Y.., Diederich J., Yellowlees P.

Journal of Artificial Intelligence and Soft Computing Research

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2013

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Vol. 3, No. 1

41--50

EN

In this study, we propose to diagnose facial nerve palsy using Support Vector Machines (SVMs) and Emergent Self-Organizing Map (ESOM). This research seeks to analyze facial palsy domain using facial features and grade the degree of nerve damage based on the House-Brackmann score. Traditional diagnostic approaches involve a medical doctor recording a thorough history of a patient and determining the onset of paralysis, rate of progression and so on. The most important step is to assess the degree of voluntary movement of the facial nerves and document the grade of facial paralysis using House- Brackmann score. The significance of the work is the attempt to understand the diagnosis and grading processes using semi-supervised learning with the aim of automating the process. The value of the research is in identifying and documenting the limited literature seen in this area. The use of automated diagnosis and grading greatly reduces the duration of medical examination and increases the consistency, because many palsy images are stored to provide benchmark references for comparative purposes. The proposed automated diagnosis and grading are computationally efficient. This automated process makes it ideal for remote diagnosis and examination of facial palsy. The profiling of a large number of facial images are captured using mobile phones and digital cameras.

4

Image coding based on flexible contour model

Zheng N., Song W., Li W.

Machine Graphics and Vision

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1999

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Vol. 8, No. 1

83-94

EN

This paper presents a new scheme of model-based image coding method. First a new image model called Flexible Contour Model that can extract features of nonrigid objects in images is proposed, then we deduce the fast algorithms for calculating the parameters of the model and for matching the model to images. Furthermore the combination of the model with multiscale analysis and the triangulation of the model has been studies. As a result, reconstrution of orginal images with high compression rate and unnaticeable distortion was obtained.