The majority of virtual endoscopy techniques tries to simulate a real endoscopy. A real endoscopy does not always give the optimal information due to the physical limitations it is subject to. In this paper, we deal w...
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ISBN:
(纸本)9780780372009
The majority of virtual endoscopy techniques tries to simulate a real endoscopy. A real endoscopy does not always give the optimal information due to the physical limitations it is subject to. In this paper, we deal with the unfolding of the surface of the colon as a possible visualization technique for diagnosis and polyp detection. A new two-step technique is presented which deals with the problems of double appearance of polyps and nonuniform sampling that other colon unfolding techniques suffer from. In the first step, a distance map from a central path induces nonlinear rays for unambiguous parameterization of the surface. The second step compensates for locally varying distortions of the unfolded surface. A technique similar to magnification fields in information visualization is hereby applied. The technique produces a single view of a complete, virtually dissected colon.
Hierarchies of plane graphs, called graph pyramids, are used for collecting, storing and analyzing geographical information based on satellite images or other input data. Important for the better understanding of the ...
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Hierarchies of plane graphs, called graph pyramids, are used for collecting, storing and analyzing geographical information based on satellite images or other input data. Important for the better understanding of the geographical data, like landscape properties or thematical maps, is the appropriate visualization of graph pyramids and related information. In this paper, we present an interactive visualization tool that supports several coordinated views on graph pyramids, subpyramids, thematical maps, etc. Furthermore, some implementation details and application results are discussed.
In this paper we propose a framework for out-of-core real-time rendering of high-quality textured archaeological data-sets. Our input is a triangle mesh and a set of calibrated and registered photographs. Our system p...
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In this paper we propose a framework for out-of-core real-time rendering of high-quality textured archaeological data-sets. Our input is a triangle mesh and a set of calibrated and registered photographs. Our system performs the actual mapping of the photos to the mesh for high-quality reconstructions, which is a task referred to as the labeling problem. Another problem of such mappings are seams that arise on junctions between triangles that contain information from different photos. These are are approached with blending methods, referred to as leveling. We address both problems and introduce a novel labeling approach based on occlusion detection using depth maps that prevents texturing of parts of the model with images that do not contain the expected region. Moreover, we propose an improved approach for seam-leveling that penalizes too large values and helps to keep the resulting colors in a valid range. For high-performance visualization of the 3D models with a huge amount of textures, we make use of virtual texturing, and present an application that generates the needed texture atlas in significantly less time than existing scripts. Finally, we show how the mentioned components are integrated into a visualization application for digitized archaeological site.
We present a new method to visualize virtual endoscopic views. We propose to flatten the organ by the direct projection of the surface onto a set of cylinders. Two sampling strategies are presented and the introduced ...
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In this work we present a branch-and-cut-and-price algorithm for the compression of fingerprint minutiae templates, in order to embed them into passport images by watermarking techniques as an additional security feat...
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In this work we present a branch-and-cut-and-price algorithm for the compression of fingerprint minutiae templates, in order to embed them into passport images by watermarking techniques as an additional security feature. For this purpose the minutiae data, which is a set of characteristic points of the fingerprint, is encoded by a spanning tree whose edges are encoded efficiently by a reference to an element in a dictionary (template arc) and a small correction vector. Our proposed branch-and-cut-and-price algorithm creates meaningful template arcs from a huge set of possible ones on demand in the pricing-procedure. Cutting-planes are separated in order to obtain connected subgraphs from which spanning trees can then be easily deduced. Our computational experiments confirm the superior performance of the algorithm in comparison to previous approaches for the spanning tree based encoding scheme.
In Augmented Reality applications it is important to have a good description of the surfaces of real objects if a consistent shading between real and virtual object is required. If such a description of a surface is n...
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In Augmented Reality applications it is important to have a good description of the surfaces of real objects if a consistent shading between real and virtual object is required. If such a description of a surface is not available it has to be estimated or approximated. In this paper several methods are presented that deal with the bi-directional reflectance distribution function (BRDF) approximation in Augmented Reality. Of course an important thing to discuss is whether the applications we present work in real-time and compute real looking results. Different methods can be used to achieve these goals. All of the methods presented work via image based lighting. Some require a 3D polygonal mesh representation of the object, for which the BRDF shall be approximated. Some methods estimate the BRDF parameters via error values and provide results at each iteration.
Systems projecting a continuous n-dimensional parameter space to a continuous m-dimensional target space play an important role in science and engineering. If evaluating the system is expensive, however, an analysis i...
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This paper describes an ant colony system (ACS) for labeling point features. A pre-processing step reduces the search space in a safe way. The ACS applies local improvement and masking, a technique that focuses the op...
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This paper describes an ant colony system (ACS) for labeling point features. A pre-processing step reduces the search space in a safe way. The ACS applies local improvement and masking, a technique that focuses the optimization on critical regions. Empirical results indicate that the ACS reliably identifies high-quality solutions which are in many cases better than those of a state-of-the-art genetic algorithm for point-feature labeling.
This paper describes a tool for the visualization of T2 maps of knee cartilage. Given the anatomical scan and the T2 map of the cartilage, we combine the information on the shape and the quality of the cartilage in a ...
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In this paper we describe modifications of irregular image segmentation pyramids based on user-interaction. We first build a hierarchy of segmentations by the minimum spanning tree based method, then regions from diff...
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