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Content available remote Creating entirely textured 3D models of real objects using surface flattening
100%
EN
We present a novel method to create entirely textured 3D models of real objects by combining partial texture mappings using surface flattening (surface parametrisation). Texturing a 3D model is not trivial. Texture mappings can be obtained from optical images, but usually one image is not sufficient to show the whole object; multiple images are required to cover the surface entirely. Merging partial texture mappings in 3D is difficult. Surface flattening coverts a 3D mesh into 2D space preserving its structure. Transforming optical images to flattening-based texture maps allows them to be merged based on the structure of the mesh. In this paper we describe a novel method for merging texture mappings using flattening and show its results on synthetic and real data.
2
Content available remote A proposition of mobile fractal image decompression
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tom 17
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nr 1
129-136
EN
Multimedia are becoming one of the most important elements of the user interface with regard to the acceptance of modern mobile devices. The multimodal content that is delivered and available for a wide range of mobile telephony terminals is indispensable to bind users to a system and its services. Currently available mobile devices are equipped with multimedia capabilities and decent processing power and storage area. The most crucial factors are then the bandwidth and costs of media transfer. This is particularly visible in mobile gaming, where textures represent the bulk of binary data to be acquired from the content provider. Image textures have traditionally added visual realism to computer graphics. The realism increases with the resolution of textures. This represents a challenge to the limited bandwidth of mobile-oriented systems. The challenge is even more obvious in mobile gaming, where single image depicts a collection of shots or animation cycles for sprites and a backdrop scenery. In order to increase the efficiency of image and image texture transfer, a fractal based compression scheme is proposed. The main idea is to use an asymmetric server-client architecture. The resource demanding compression process is performed on the server side while the client part decompresses highly packed image data. The method offers a very high compression ratio for pictures representing image textures for natural scenes. It aims to minimize the transmission bandwidth that should speed up the downloading process and minimize the cost and time of data transfer. The paper focuses on the implementation of fractal decompression schemes suitable for most mobile devices, and opens a discussion on fractal image models for limited resource applications.
PL
Przedmiotem artykułu jest połączenie danych ze skaningu laserowego ze zobrazowaniami termalnymi. Obiektem badań wykorzystanym w eksperymencie był monitor komputerowy LG Flatron F900P. Do pozyskania danych przestrzennych wykorzystano skaner laserowy Leica ScanStation 2, a obrazów termalnych kamerę termalną ThermaCam PM575. W wyniku przetworzenia pozyskanych danych uzyskano chmurę punktów powierzchni monitora. Każdy z punktów oprócz współrzędnych X, Y, Z posiadał również informację o temperaturze oraz intensywności odbicia w zakresie długości fali skanera laserowego. Możliwa była więc budowa modelu przestrzennego wzbogaconego o informacje o intensywności odbicia w zakresie widzialnym jak również termalnym. Wykorzystana w eksperymencie metoda łączenia danych ze skaningu laserowego z danymi obrazowymi pozyskanymi w termalnym zakresie widma elektromagnetycznego znacznie rozszerza zakres zastosowań skanerów laserowych i kamer termalnych. Daje możliwość dokładnego pomiaru i analizy obiektów niedostępnych dla człowieka lub takich, gdzie przebywanie człowieka wiąże się z dużym zagrożeniem dla niego.
EN
Terrestrial laser scanning is becoming increasingly widely used in those fields in which it is necessary to obtain fast and precise measurements of complex objects. The essence of the laser scanner function is the measurement of a large quantity of points located in close proximity of each other. The measurement takes place owing to the use of a laser with a defined wavelength and a rotating mirror, by means of which the laser radiation can be pointed in any direction around the instrument. The automated measurement of angles and distances allows determination of spatial coordinates of the measured points of the object. Scanner measurements result in the so-called “point cloud” which usually consists of a few million points. Each of these points possesses very precisely determined spatial coordinates X, Y, Z. Apart from the spatial coordinates, each point contains information about its reflection intensity. This information has many applications, but it has to be borne in mind that it refers only to a very narrow radiation band, equal to the laser wavelength, e.g., for the Leica ScanStation2 the laser is green. Additional, very useful information can be found on digital images, acquired by inbuilt digital cameras. However, the electromagnetic spectrum considered is still in the visible range. The paper presents a possibility of using imagery acquired by means of external sensors (not integrated with the scanner). Imagery acquired with a thermal camera, which represents the temperature distribution of the given object, has been deemed most useful. Thermal images, properly acquired and processed to a unified temperature scale, are placed onto a three dimensional model of the object to create a 3D thermal model. The objective of the paper was to present a connection between laser scanning data and thermal imagery. As a result, a point cloud of the objects surface is obtained. Each point, apart from its X, Y, Z coordinates, includes information about its temperature. This greatly broadens the existing range of applications of laser scanning, as measurements and analyses of inaccessible objects or those posing hazard to humans can be carried out, Doubtless, the advantages of laser scanning combined with the possibility of acquiring images representing spatial distribution of the temperature of the object, greatly broaden the existing range of applications. Novel application include, i.a., aiding the design of new installations, e.g., those sensitive to external thermal conditions. It seems that surveys of technical conditions and wearing rate of installations and other types of industrial objects could be completed with the thermal model much faster and more accurately than by using separate thermograms. By combining thermal images with laser scanning data it is possible to not only read the temperature at any given point of the image, but also to take measurements of length and area.
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