To better understand how developmental regulatory networks are defined in the genome sequence, the Berkeley Drosophila Transcription Network Project (BDNTP ) has developed a suite of methods to describe 3D gene expres...
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ISBN:
(纸本)9783885794417
To better understand how developmental regulatory networks are defined in the genome sequence, the Berkeley Drosophila Transcription Network Project (BDNTP ) has developed a suite of methods to describe 3D gene expression data, i.e., the output of the network at cellular resolution for multiple time points. To allow researchers to explore these novel data sets we have developed PointCloudXplore (PCX). In PCX we have linked physical and information visualization views via the concept of brushing (cell selection). For each view dedicated operations for performing selection of cells are available. In PCX, all cell selections are stored in a central management system. Cells selected in one view can in this way be highlighted in any view allowing further cell subset properties to be determined. Complex cell queries can be defined by combining different cell selections using logical operations such as AND, OR, and NOT. Here we are going to provide an overview of PointCloudXplore 2 (PCX2), the latest publicly available version of PCX. PCX2 has shown to be an effective tool for visual exploration of 3D gene expression data. We discuss (i) all views available in PCX2, (ii) different strategies to perform cell selection, (iii) the basic architecture of PCX2., and (iv) illustrate the usefulness of PCX2 using selected examples.
Dense clinical data like 3D Computed Tomography (CT) scans can be visualized together with real-time imaging for a number of medical intervention applications. However, it is difficult to provide a fused visualization...
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In this paper we investigate the dynamics of contrast agent concentration as blood flow estimation method utilizing contributions from three different fields: morphologic and dynamic angiographic X-ray scans, computat...
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In this paper we investigate the dynamics of contrast agent concentration as blood flow estimation method utilizing contributions from three different fields: morphologic and dynamic angiographic X-ray scans, computational fluid dynamics (CFD) simulations and Laser-Doppler-Velocimetry (LDV) measurements. Based on dynamic angiographic X-ray measurements we exploit dedicated CFD simulations, carried out specifically for each target object, for the adaptation of the plain video densitometric results. Finally, a comparison with LDV is presented.
Demosaicking is one of the important tasks in the image-processing pipeline in digital cameras using a single electronic sensor overlaid with a Color Filter Array. We quantitatively shows that, demosaicking algorithms...
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An optimal recovery based neural-network Super Resolution algorithm is developed. The proposed method is computationally less expensive and outputs images with high subjective quality, compared with previous neural-ne...
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We present a system for the real-time rendering of scenes to produce images like watercolour paintings. Our system uses a hybrid of object space rendering techniques and image plane post processing to attain extremely...
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The tutorial presents state-of-the-art visualization techniques inspired by traditional technical and medical illustrations. Such techniques exploit the perception of the human visual system and provide effective visu...
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ISBN:
(纸本)0780394623
The tutorial presents state-of-the-art visualization techniques inspired by traditional technical and medical illustrations. Such techniques exploit the perception of the human visual system and provide effective visual abstractions to make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive presentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive techniques used in art are adopted in computergraphics, and are denoted as illustrative or non-photorealistic rendering. Different stroke techniques, or brush properties express a particular level of abstraction. Feature emphasis or feature suppression is achieved by combining different abstraction levels in illustrative rendering. Challenges in visualizationresearch are very large data visualization as well as multi-dimensional data visualization. To effectively convey the most important visual information there is a significant need for visual abstraction. For less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientific visualization are based on iso-surfaces and volume rendering. Apart from visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization techniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. A different smart way to provide information on the data is using exploded views or other types of deformation. Furthermore intuitive feature classification via 3D painting and manipulation with the classified data including label placement is presented. Discussed non-photorealistic and illustrative techniques from visualization and graphics are shown from the perspective as tools for illustrators from medicine, botany, archeology
We present a system for the real-time rendering of scenes to produce images like watercolour paintings. Our system uses a hybrid of object space rendering techniques and image plane post processing to attain extremely...
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We present a system for the real-time rendering of scenes to produce images like watercolour paintings. Our system uses a hybrid of object space rendering techniques and image plane post processing to attain extremely good results very quickly. We achieve this through graphics processing unit (GPU) programming, hardware accelerated shadow volumes, and the use of noise for various different tasks. We manage to circumvent problems found in both previous image space and object space methods by combining the two.
Several factors currently limit the size of Virtual Reality Modeling Language (VRML) models that can be effectively visualized over the Web. Main factors include network bandwidth limitations and inefficient encoding ...
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ISBN:
(纸本)1581138849
Several factors currently limit the size of Virtual Reality Modeling Language (VRML) models that can be effectively visualized over the Web. Main factors include network bandwidth limitations and inefficient encoding schemes for geometry and its associated properties. The delays caused by these factors reduce the attractiveness of VRML usage for a large range of virtual reality models, CAD data, and scientific visualizations. To solve this problem, we have tried to decrease the size of data by deploying fractal geometry in VRML standard. A novel approach is proposed for generating a "fractal mountain" using a random Midpoint-Displacement method in VRML standard. Our VRML 2.0 implementation, which is based on two newly defined nodes, TriangleGrid and FractMountain, and uses PROTO mechanism and Java in the Script nodes for the logic, is presented too. It is shown that our approach is more flexible and memory efficient than other approaches for computing mountain structures. Besides, mountains visualized by this approach look much more natural than those generated by other approaches.
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