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

Identification of Football Players based on Generic Fourier Descriptor Applied for the Recognition of Numbers

Frejlichowski D.

Image Processing & Communications

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2016

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Vol. 21, no. 4

13--18

EN

There are various possible approaches to the task of automatic identification of football players on video sequences. In the paper the numbers on jerseys are analysed and investigated. Firstly, the algorithm for the localisation of sport shirts and consecutively numbers is described. Secondly, the method for the recognition of the extracted numbers is proposed and experimentally investigated. The approach analysed in the paper applies the Generic Fourier Descriptor for the representation of extracted binary shapes of numbers.

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

Metoda fotogrametryczna w śledzeniu zmian położenia obiektów

Zator S., Żłobicki Ł.

Pomiary Automatyka Kontrola

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2011

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R. 57, nr 2

150-152

PL

Przedstawiono wykorzystanie metod stosowanych w fotogrametrii i rozpoznawania kształtów do śledzenia zmian położenia obiektów czy ich geometrii w trybie off-line. Do wyznaczenia współrzędnych znaczników wykorzystano metodę równań kolinearności dla elementów orientacji zewnętrznej zdjęć. Jako markery wykorzystano znaczniki 12-bitowych kodów z programu Photomodeler. Aby rozpoznawanie tych samych punktów na zdjęciach odbywało się automatycznie zaimplementowano algorytm rozpoznawania znaczników. W wersji testowej wykorzystano aparat fotograficzny Canon EOS 30D oraz środowisko LabView.

EN

The paper presents application of the methods from photogrammetry and shape recognition to tracking changes in the position of objects and their geometry in the off-line mode. To determine the coordinates of markers, the collinearity equations method was used for elements of the external orientation of images. The targets of 12-bit codes from the program Photomodeler were used as markers. An automatic recognition algorithm was implemented to identify the same points on the images. The prototype uses a Canon EOS 30D camera and the LabView platform. The algorithms, which record information about the geometry of the markup, recognize them for any angle during the recognition. Three markers whose relative position cannot be changed are used for orientation of the camera. Changes of the location of successive markers are determined on the basis of at least two images. However, to obtain the satisfactorily low measurement uncertainty, it is advisable to perform a series of 4-5 images. For series pair of photos without calibration the difference in the position for the coordinate more or less parallel to the plane of the images does not exceed 19 mm at the distance of about 1.2 m.

5

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.

6

Recognizing Sharp Features of 2-D Shapes

Gewali L., Scanlan J. P.

International Journal of Electronics and Telecommunications

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2010

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Vol. 56, No. 2

153-156

EN

We present an efficient algorithm for recognizing and extracting sharp-features from complex polygonal shapes. The algorithm executes in O(n²) time, where n is the number of vertices in the polygon. Sharp-feature extraction algorithms can be useful as a pre-processing step for measuring shape-similarity between polygonal shapes.

7

A digital artificial neural network for shape recognition

Rybarczyk A., Idzior A., Kaczmarek A., Zamorski M., Kapela R.

Poznan University of Technology Academic Journals. Electrical Engineering

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2008

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No 58

29-39

8

Recognition of wheat grain quality using log-hough representation and neural networks

Mikrut Z., Kubiak A.

Machine Graphics and Vision

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2008

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Vol. 17, No. 4

425-449

EN

Assessment of raw product quality constitutes one of the most important issues in the agricultural sectors of food production, processing and storage. In wheat grain quality assessment, the evaluation of the percentage of broken grains in a single variety sample is one of the most important criteria. In the present work, we propose a solution based on a computer vision system and neural networks. An algorithm which performs normalization of the size and rotation angle of a single grain image in the log-polar space is developed. The grain edge image is subsequently transformed to the accumulative log-Hough space and projected onto the coordinate system axes. The resulting representation undergoes classification and variety discrimination with the use of the Kohonen Self Organizing Map. The effectiveness of this representation has been verified with the use of a backpropagation neural network and the k-Nearest Neighbors method. The average classification rate within a single wheat variety exceeds 97%, which qualifies the method for practical applications.

9

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.