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检索条件"任意字段=International Symposium on 3D Data Processing Visualization and Transmission"

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Characterization of local 3d rough surfaces using UWB near-range phase-based GPR signatures from wide-beamwidth antennas

Characterization of local 3D rough surfaces using UWB near-r...

引用

IEEE international symposium on Geoscience and Remote Sensing (IGARSS)

作者： B. Sai L.P. Ligthart International Research Centre for Telecommunications-transmission and Radar (IRCTR) Department of Electrical Engineering Faculty of Information Technology and Systems Delft University of Technnology Delft Netherlands

This paper pertains to further investigations on using an ultra wideband (UWB) multistatic coherent ground-penetrating radar (GPR) technique for precise profiling of the rough surfaces in three-dimensional space. The method is essentially based on the phase processing of the sliced layers of three-dimensional rough surfaces with multiple sub-frequency bands. The data acquired in the near range by a UWB stepped-frequency continuous-wave GPR with wide-beam antennas over a compound surface are used to verify the method. It was found that in the near-range measurements the range side-lobe interference effects and the reflections from the measurement surroundings sometimes have a significant influence on the target phase and amplitude responses, and consequently degrade the localization of the targets. The present study on this issue shows that within the ultra wideband, some sub-frequency bands are less sensitive to the measurement surroundings, but still sensitive to the target area. With the selected sub-frequency bands the image of the compound surface reconstructed in the surface height domain shows good agreement with the practical geometry of the rough surfaces.

关键词： Rough surfaces Surface roughness Ground penetrating radar Ultra wideband antennas Surface reconstruction Ultra wideband technology Antenna measurements Phase measurement Spaceborne radar Interference

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Protocol for streaming compressed 3-d animations over lossy channels

Protocol for streaming compressed 3-D animations over lossy ...

引用

IEEE international Conference on Multimedia and Expo (ICME)

作者： G. Al-Regib Y. Altunbasak J. Rossignac R. Mersereau Center for Signal and Image Processing Georgia Institute of Technology Atlanta GA Graphics Visualization and Usability Center Georgia Institute of Technology Atlanta GA USA Center for Signal and Image Processing Georgia Institute of Technology Atlanta GA USA

We propose a protocol for efficient streaming of 3-d animations over lossy channels. In order to improve the expected quality on the client's side, we first transmit a crude model of the 3-d mesh, of its texture, and of its immediate evolution. We endow this data with significant error-protection against transmission error. Then we transmit a series of upgrades that refine the accuracy of the model and/or of the animation. These are encoded with lower levels of error protection that is proportional to their impact on the quality of the upgraded animation. We propose the following types of upgrade chunks: selection of a subset of vertices, adjustments of the accuracy of the positions of the selected vertices, connectivity refinements, motion adjustments of the selected subset of vertices, adjustments of the accuracy of the texture coordinates of the selected vertices, and upgrade of the quality of the texture. Finally, given the allocated bit-budget, we determine the optimal number of both source and channel coding bits assigned for each chunk to maximize the animation quality on the client's side. The optimization takes into account both the bandwidth and the error characteristics of the channel.

关键词： Protocols Animation Internet Streaming media Bandwidth Layout Image coding visualization Electronic mail Protection

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Coding for the storage and communication of visualisations of 3d medical data

Coding for the storage and communication of visualisations o...

引用

international Conference on Image processing (ICIP 2001)

作者： Tzovaras, d Grammalidis, N Strintzis, MG Malassoitis, S

ISBN: (纸本)0780367251

The transmission of the large store of information contained in 3d medical data sets through limited capacity channels is a critical procedure in many telemedicine applications. In this paper, techniques are presented for the compression of visualizations of 3d image data for efficient storage and transmission. Methods are first presented for the transmission of the 3d surface of the objects using contour following methods. Alternatively, the visualization at the receiver may be based on a series of depth maps corresponding to some motion of the object, specified by the medical observer. depth maps may be transmitted by using depth map motion compensated prediction. Alternately, a wire-mesh model of the depth map may be formed and transmitted by encoding the motion of its nodes. All these methods are used for the transmission of the 3d image with visualization carried out at the receiver. Methods are also developed for efficient transmission of the images visualized at the encoder site. These methods allow remote interactive manipulation (rotation, translation, zoom) of the 3d objects, and may be implemented even if the receiver is a relatively simple and inexpensive workstation or a simple monitor. In all above cases, the coding of binocular views of the 3d scene is examined and recommendations are made for the implementation of coders of stereo views of 3d medical data.

关键词： Image coding

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Medical Image processing, Analysis & visualization in clinical research

Medical Image Processing, Analysis & Visualization in clinic...

引用

14th IEEE symposium on Computer-Based Medical Systems (CBMS 2001)

作者： McAuliffe, MJ Lalonde, FM McGarry, d Gandler, W Csaky, K Trus, BL NEI CBEL Ctr Informat Technol NIH Bethesda MD 20892 USA

ISBN: (纸本)0769510043

Imaging has become an essential component in many fields of medical and laboratory research and clinical practice. Biologists study, cells and generate 3d confocal microscopy datasets, virologists generate 3d reconstructions of viruses from micrographs, radiologists identify and quantify tumors from MRI and CT scans, and neuroscientists detect regional metabolic brain activity from PET and functional MRI scans. Analysis of these diverse image types requires sophisticated computerized quantification and visualisation tools. Until recently, three-dimensional visualization of images and quantitative analysis could only be performed using expensive UNIX workstations and customized software. Today, much of the visualization and analysis can be performed on an inexpensive desktop computer equipped with the appropriate graphics hardware and software, This paper introduces all extensible platform-independent, general-purpose image processing and visualization program specifically designed to meet the needs of a lnternet-linked medical research community. The application named MIPAV (Medical Image processing Analysis and visualization) enables clinical and quantitative analysis of medical images over the Internet. Using MIPAV's standard user-interface and analysis tools, researchers and clinicians at remote sites can easily share research data and analyses, thereby enhancing their ability to study, diagnose, monitor, and treat medical disorders.

关键词： Medical imaging

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3d shape coding with superquadrics

3D shape coding with superquadrics

引用

international Conference on Image processing (ICIP 2001)

作者： Chevalier, L Jaillet, F Baskurt, A Univ Lyon 1 LIGIM Comp Graph & Image Modeling Lab F-69622 Villeurbanne France

ISBN: (纸本)0780367251

We present a geometric coding method for 3d real and virtual objects transmission and visualization. We describe object surfaces with a set of superellipsoids which are structured with a constructive solid geometry (CSG) tree. An unstructured cloud of 3d points lying on the original object surface is considered as initial data. The tree is obtained using a split and merge algorithm. At each splitting step, the set of points is partitioned into two superellipsoids. The parameters of each ellipsoid is computed with a non-linear regression technique (Levenberg-Marquardt). This decomposition is stopped when the estimation error reaches a given threshold (the accepted distortion). The objective of the merging algorithm is to reduce the number of superellipsoids used to describe the complex 3d object without increasing the global distortion. This algorithm allows to merge both connex and non-connex elements of the superellipsoids set obtained from the decomposition step. The whole scheme is applied on synthetic objects.

关键词： Image coding

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Scalable compression of 3d medical datasets using a (2d+T) wavelet video coding scheme

Scalable compression of 3d medical datasets using a (2D+T) w...

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6th international symposium on Signal processing and Its Applications

作者： Bénetière, M Bottreau, V Collet-Billon, A deschamps, T Labs Elect Philips F-94453 Limeil Brevannes France

ISBN: (纸本)0780367030

Nowadays the all digital solution in hospitals is becoming widespread. The formidable increase of medical data amount to be processed, transmitted and stored, requires some efficient compression systems and innovative tools to improve data access, while ensuring a sufficient visualization quality for diagnosis. Medical image sequences can benefit from advanced video coding techniques when adapted to their specific constraints. Scalability, or the capability to partly decode a video bitstream and to get a reconstruction quality proportional to the decoded amount of information, is a key functionality. We have developed a video codec based on a 3d Motion-Compensated subband decomposition, which provides a combination of temporal, spatial and SNR scalabilities together with a very competitive compression ratio. We show that, when applied to medical sequences, it outperforms JPEG-2000 on coding efficiency aspects and offers new functionalities.

关键词： Medical imaging

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Coding for the storage and communication of visualisations of 3d medical data

Coding for the storage and communication of visualisations o...

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IEEE international Conference on Image processing

作者： d. Tzovaras N. Grammalidis M.G. Strintzis S. Malassoitis

Summary form only given, as follows. The transmission of the large store of information contained in 3d medical data sets through limited capacity channels is a critical procedure in many telemedicine applications. Techniques are presented for the compression of visualizations of 3d image data for efficient storage and transmission. Methods are first presented for the transmission of the 3d surface of the objects using contour following methods. Alternately, the visualization at the receiver may be based on a series of depth maps corresponding to some motion of the object, specified by the medical observer. depth maps may be transmitted by using depth map motion compensated prediction. Alternately, a wire-mesh model of the depth map may be formed and transmitted by encoding the motion of its nodes. All these methods are used for the transmission of the 3d image with visualization carried out at the receiver. Methods are also developed for efficient transmission of the images visualized at the encoder site. These methods allow remote interactive manipulation (rotation, translation, zoom) of the 3d objects, and may be implemented even if the receiver is a relatively simple and inexpensive workstation or a simple monitor. In all these cases, the coding of binocular views of the 3d scene is examined and recommendations are made for the implementation of coders of stereo views of 3d medical data.

关键词： Biomedical imaging data visualization Image storage Channel capacity Telemedicine Image coding Workstations Biomedical monitoring Remote monitoring Layout

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Segmentation, reconstruction, modeling and 3d visualization of the ventricles in echocardiographics images

Segmentation, reconstruction, modeling and 3D visualization ...

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international symposium on Image and Signal processing and Analysis

作者： A. Bosnjak V. Torrealbar G. Montilla H. Villegas V. Burdin B. Solaiman C. Roux Ecole Nationale Supérieure des Télécommunications de Bretagne Brest France Centro de Procesamiento de Imágenes Universidad de Carabobo Valencia Venezuela

ISBN: (纸本)9539676940

This paper addresses the processing and reconstruction of the heart from echocardiographic images. This work is divided into two processing chains: reconstruction and visualization, each one of them is divided in several modules denominated as: 3d acquisition, 3d filtering, 3d segmentation, 3d reconstruction, 3d modeling and 3d visualization. The second processing chain uses an a priori model of the organ. It is adjusted to the data issued from the segmentation of the 4d (3d+t) volume captured from the patient. This is a new processing method because it is possible to capture a series of useful parameters (such as the ejection fraction, position, displacement and torsion of the ventricle) and at the same time it allows a 3d visualization of the virtual model. Two different models have been used in this work: a) a model of front propagation that allows segmentation of the internal wall of the ventricle with enough precision; b) a model with deformable superquadrics which obtains some useful geometric parameters to describe the shape and the dynamics of the ventricles. When we observe the differences between the virtual model and the resulting images of the 3d reconstruction of the heart, the physician has more information for the diagnosis, so that cardio-vascular illnesses will be detected with more precision.

关键词： visualization Image reconstruction Heart Image segmentation Cardiology Solid modeling deformable models Ultrasonic imaging Rhythm Image sampling

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Architecture of a software system for scientific data visualisation

Architecture of a software system for scientific data visual...

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international symposium on Image and Signal processing and Analysis

作者： M. Kolodnytsky A. Kovalchuk Computer Software Department Zhytomyr Institute of Engineering and Technology Zhytomyr Ukraine

ISBN: (纸本)9539676940

In this paper, after an enumeration of software for scientific computation and data visualisation, we give a set of demands for this sort of software. We discuss the architecture of a scientific data visualisation software system entitled "Graph Server" which was designed and developed by the authors. The examples of 2d/3d hodograph curve, 2d/3d histogram, 3d surface and 2d area are presented.

关键词： Computer architecture Software systems data visualization Software tools Yarn User interfaces Application software Embedded software Automation Multithreading

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Scalable compression of 3d medical datasets using a (2d+T) wavelet video coding scheme

Scalable compression of 3D medical datasets using a (2D+T) w...

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international symposium on Signal processing and Its Applications (ISSPA)

作者： M. Benetiere V. Bottreau A. Collet-Billon T. deschamps Laboratoires d'Electronique PHILIPS LIMEIL-BREVANNES Cédex FRANCE

Nowadays the all-digital solution in hospitals is becoming widespread. The formidable increase of medical data to be processed, transmitted and stored, requires some efficient compression systems and innovative tools to improve data access, while ensuring a sufficient visualization quality for diagnosis. Medical image sequences can benefit from advanced video coding techniques when adapted to their specific constraints. Scalability, or the capability to partly decode a video bitstream and to get a reconstruction quality proportional to the decoded amount of information, is a key functionality. We have developed a video codec based on a 3d motion-compensated subband decomposition, which provides a combination of temporal, spatial and SNR scalabilities together with a very competitive compression ratio. We show that, when applied to medical sequences, it outperforms JPEG-2000 on coding efficiency aspects and offers new functionalities.

关键词： Biomedical imaging Medical diagnostic imaging Scalability decoding Hospitals Image coding data visualization Image sequences Video coding Video compression

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