In many applications surfaces with a large number of primitives occur. Geometry compression reduces storage space andtransmission time for such models. A special case is given by polygonal isosurfaces generated from ...
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ISBN:
(纸本)0769515215;0769515223
In many applications surfaces with a large number of primitives occur. Geometry compression reduces storage space andtransmission time for such models. A special case is given by polygonal isosurfaces generated from gridded volume data. However, most current state-of-the-art geometry compression systems do not capitalize on the structure that is characteristic of such isosurfaces, namely that the surfaces are defined by a set of vertices on edges of the grid. In a previous paper we proposed a compression method for isosurfaces that exploits this feature. In this paper we use the same coding approach, however, including context models for the encoding of the symbol streams. We report improved compression ratios for complex isosurfaces from a CT scan of a human head. Our coder outperformed state-of-the-art general purpose geometry compression methods. We also report results obtained by two predictive coding methods based on least squares function fitting and a surface relaxation algorithm.
The absence of common image storage, processing and visualisation approaches is a very serious problem of the collaboration between optical microscopy laboratories. The results produced by individual groups are theref...
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ISBN:
(纸本)0769515215;0769515223
The absence of common image storage, processing and visualisation approaches is a very serious problem of the collaboration between optical microscopy laboratories. The results produced by individual groups are therefore often not comparable. Even a simple visualisation of image data acquired in a different laboratory is often time-consuming because of the non-existence of a common 3d image file format. In this paper we present a solution to these problems for the specific task of acquisition, storage, processing and visualisation of 3d image data of fluorescently stained genetic material used in the research of the spatial organisation of human genome. We have developed a special software system based on the client/server architecture that enables the collaboration of laboratories active in this field. Each laboratory acquires the 3d image data using its own microscopes but stores them together with a detaileddescription of the samples on a central high-performance multi-processor UNIX server that acts as a file server, database server and image analysis server that accepts orders from individual clients. The requested parts of image data as well as image analysis results are sent back to the clients via Internet. In order to provide high computational power the server was equipped with the fastest processors available and the whole network architecture has been optimised for speed.
In this paper, we describe about wavelet coding method for geometry data structured on a triangular lattice. Efficient representations of 3-d object shape and its texture data have attracted wide attention for transmi...
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ISBN:
(纸本)0769515215;0769515223
In this paper, we describe about wavelet coding method for geometry data structured on a triangular lattice. Efficient representations of 3-d object shape and its texture data have attracted wide attention for transmission of computer graphics data and for interactive design in manufacturing. Polygonal mesh data, which consists of connectivity information, geometry data and texture data, are often used for representing 3-d object in many applications. We propose a compression method for polygonal mesh data by structuring its connectivity data and geometry data on a triangular lattice. The structured geometry data is compressed by applying a 2-d wavelet coding method. Me obtain the wavelet coefficients by applying shape-adaptive wavelet transform to the structured geometry data. By, defining the parent-children dependencies as the set of wavelet coefficients from different bands that represent the same spatial region in triangular lattice, and the wavelet coefficients in spatial tree are pruned optimally based on the rate-distortion properties of the geometry data. Comparison of proposed wavelet coding with other coding scheme for polygonal mesh data shows that the proposed wavelet coding achieves better coding efficiency than other scheme adopted in the MPEG-4 standard.
CT colonography is an emerging technique for colorectal cancer screening. This technique facilitates noninvasive imaging of the colon interior by generating virtual reality models of the colon lumen. Manual navigation...
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This paper presents a framework for construction of animated models from captured surface shape of real objects. Algorithms are introduced to transform the captured surface shape into a layered model. The layered mode...
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In this paper we present an algorithm for adaptive resolution integration of 3ddata collected from multiple distributed sensors. The input to the algorithm is a set of 3d surface points and associated sensor models. ...
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We present an approach to surface smoothing based on linear diffusion. In contrast to mesh-based approaches we represent surfaces as scalar functions defined on the sphere which restricts the analysis to star-shaped o...
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Range image registration and surface reconstruction have been traditionally considered as two independent problems where the latter relies on the results of the former This paper presents a new approach to surface rec...
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ISBN:
(纸本)0769515215;0769515223
Range image registration and surface reconstruction have been traditionally considered as two independent problems where the latter relies on the results of the former This paper presents a new approach to surface recovery from range images where these two processes are integrated and performed in a common volumetric representation. The volumetric representation contains both implicitly represented reconstructed surface as the signeddistance field and cot-responding matching information in the form of the gradient of the distance field. This allows both simultaneous and incremental registration where matching complexity is linear with respect to the number of images. This improvement leads to incremental modeling from range image acquisition to surface reconstruction. It is shown that the approach is tolerant to initial registration errors as well as to measurement errors while keeping the details of the initial range images. The paper describes the formalism of the approach. Experimental results demonstrate performance advantages, tolerance to aforementioned types of errors and, as an application, filtering using redundant range data without loss of sharp details on the reconstructed surface.
We describe the goals of the ATTEST project, which started in March 2002 as part of the Information Society Technologies (IST) programme, sponsored by the European Commission. In the 2-year project, several industrial...
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