Wyniki wyszukiwania - BazTech

1

The structure of classifiers of hand gestures with the use of the active contour model and Fourier descriptors

Golański P., Szczekala M.

Aviation Advances & Maintenance

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2018

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Vol. 41, Issue 1

63--77; 78--92

EN

In this article, the research results of the usage of selected methods of the analysis of images for the recognition of hand gestures in human-computer interaction was depicted. The usage of this type of interaction is important in case of the so-called wearable computers (computer is integrated with the work clothing of an operator. For the recognition of gestures, the combination of two methods associated with the image processing was suggested and that is the Chan-Vese active contour model enabling to recognize objects on a given image, based on the curve evolution technique, Mumford-Shah functional, level-sets and the methods to create shapes with the use of Fourier descriptors. For the classification criteria as a compatibility measure a scalable Mahalanobis distance was used.

PL

W artykule przedstawiono wyniki badań nad wykorzystaniem wybranych metod analizy obrazów do detekcji gestów dłoni w komunikacji człowiek–komputer. Wykorzystanie tego typu komunikacji ma duże znaczenie w przypadku obsługi komputerów zintegrowanych z odzieżą roboczą operatora, tzw. komputerów do noszenia (wearables computers). Do detekcji gestów zaproponowano połączenie dwóch metod związanych z obróbką obrazu: metodę aktywnych konturów Chana-Vese, umożliwiającą wykrywanie obiektów na danym obrazie, opartą na technikach ewolucji krzywych, funkcjonale Mumforda-Shaha oraz zbiorach poziomicowych, oraz metodę tworzenia klasyfikatorów kształtów z wykorzystaniem deskryptorów Fouriera. Do kryterium klasyfikacji jako miarę zgodności z wzorcem wykorzystano skalowaną odległość Mahalanobisa.

2

Offline signature verification using direction-based Shape Contexts

Adamski M., Saeed K.

Journal of Medical Informatics & Technologies

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2014

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Vol. 23

149--154

EN

In this paper we present a system for offline signature verification using direction-based Shape Contexts. Images of handwritten signatures were thinned using KMM algorithm and then represented by a set of Shape Context descriptors computed separately in 4 directions in pixel’s 8-neighborhood. The distance measure used to compare Shape Contexts was based on L2 norm. The experiments were conducted using signatures from GPDS database.

3

System automatycznych pomiarów rynometrycznych (4)

Kuśmierczyk T.

Pomiary Automatyka Robotyka

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2011

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R. 15, nr 2

68-71

PL

Celem projektowanego systemu jest analiza i rozpoznawanie obrazów trójwymiarowych twarzy. Wykorzystując dostępne metody analizy i narzędzia algorytmiczne dąży się do pozyskania, z danych pochodzących ze skanerów 3D, informacji dotyczących wymiarów nosa. Artykuł przybliża aspekty stosowania jednego z głównych podejść do zagadnienia analizy obrazów 3D, tj. deskryptorów punktów. Przybliżono istniejące rozwiązania. Rozważono różne podejścia do wyboru punktów sąsiednich. Omówiono dobór skali i skwantowania. Wprowadzono odległość między deskryptorami. Pokazano też, jak zastosować deskryptory w rozpoznawaniu obrazów.

EN

The purpose of designed system is to analyze and recognice three-dimensional face images. Using known techniques, algorithms and tools I am aiming to retrieve nose parameters directly from 3D scans. Current part is devoted to describe different aspects of point descriptors usage. Wide range of known approaches is explained. Several methods of neighborhood analysis are considered. Distance measure of two descriptors is introduced. Possible methods of quantization are described. At the end, application of Hungarian algorithm for descriptors matching is shown.

4

Partitioned iterated function systems with division and a fractal dependence graph in recognition of 2D shapes

Gdawiec K., Domańska D.

International Journal of Applied Mathematics and Computer Science

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2011

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Vol. 21, no 4

757-767

EN

One of the approaches in pattern recognition is the use of fractal geometry. The property of self-similarity of fractals has been used as a feature in several pattern recognition methods. All fractal recognition methods use global analysis of the shape. In this paper we present some drawbacks of these methods and propose fractal local analysis using partitioned iterated function systems with division. Moreover, we introduce a new fractal recognition method based on a dependence graph obtained from the partitioned iterated function system. The proposed method uses local analysis of the shape, which improves the recognition rate. The effectiveness of our method is shown on two test databases. The first one was created by the authors and the second one is the MPEG7 CE-Shape-1PartB database. The obtained results show that the proposed methodology has led to a significant improvement in the recognition rate.

5

ECG features extraction : QRS detection and shape recognition

Dubowik K., Larsson J.E.

Journal of Applied Computer Science

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2001

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Vol. 9, nr 1

7-21

EN

An algorithm for extraction of ECG features is presented. Digital filters and adaptive thresholds are used for the QRS detection and Chebyshev polynomial approximation is used for QRS shape recognition. The performance of the algorithm is evaluated discussed. The algorithm will be used for monitoring patients in intensive care unit, however future work is required.