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1

Algorytm hybrydowy detekcji obiektów w przestrzeni 3D

Budzan S.

Pomiary Automatyka Kontrola

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2008

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R. 54, nr 5

298-301

PL

Artykul stanowi podsumowanie badań autora w zakresie algorytmów przetwarzania danych pozyskanych ze skanera 3D, zamieszczonych w rozprawie doktorskiej. Zaprezentowano algorytm filtracji nieregularnych danych pomiarowych 3D, zwanych obrazem 3D. Następnie omówiono algorytm decymacji, w którym wprowadzono modyfikację, która skupia się na wprowadzeniu a priori wartości stopnia decymacji okreslającego liczbę usuniętych punktów ze zbioru. Najistotniejszym elementem badań był algorytm hybrydowy detekcji obiektów w przestrzeni 3D, który bazuje na wykorzystaniu transformaty Hough'a 3D w powiązaniu z segmentacją metodą rozrostu, która powoduje wzrost efektywności algorytmu.

EN

In the paper some authors experiments summary has been presented. First the robust noise reduction in 3D measurement data algorithm has been presented. Often the noise source are optical elements from the 3D scanner. This noise commonly is the separate groups of points with high amplitude or single points with low amplitude. Main idea of applied algorithm depends on maximize distance - distance between points in three dimensional space - nearest neighbors in sliding 3D sphere. Next the modification of decimation algorithm has been presented. Main idea of proposed algorithm depends on adding a priori decimation level - number of the data points, which must be deleted from the dataset. Also the new hybrid algorithm for detection of parametric surfaces in 3D measurement data is presented in this paper, as well as some major problems connected with 3D data acquisition and processing. The algorithm is based on 3D Hough transform and segmentation with region growing which increase the efficiency of the algorithm. The application of Hough transform for parametric surfaces in 3D is the natural extension of the Hough transform for 2D digital images, where it is used for detection of e.g. lines and ellipses.

2

Visualization of 3D variable in time object based on data gathered by active measurement system

Garbat P., Kujawińska M.

Opto-Electronics Review

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2008

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Vol. 16, No. 1

97-104

EN

The recent needs of analysis and visualization of variable in time real 3D objects in many applications require development of new approach towards combining rapid 3D shape acquisition and the methodology of data processing in order to perform visualization and analysis of real 3D dynamic objects. In this paper, the general concept of visualization system of data gathered by means of optical 4D (x,y,z,t) shape measurement system is presented. The concept of a virtual camera, as the mean for interactive object visualization is introduced. The experimental results for processing of simulated and real variable in time 3D object are presented and discussed. The directions of future works focused on full implementation of the concept are introduced.

3

The f3d tools for processing and visualization of volumetric data

Šrámek M., Dimitrov L. I., Straka M., Červeňanský M.

Journal of Medical Informatics & Technologies

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2004

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Vol. 7

MIP69--78

EN

In this paper we introduce the f3d format for storage of volumetric data together with a suite of tools for processing, segmentation and visualization of such data. Both the format and tools were developed for a highly variable and rapidly evolving academic environment, where new data processing and visualization tasks emerge very often. The tools address all the steps of a volume visualization pipeline: starting with import of external formats, over preprocessing, filtering, segmentation to interactive visualization.