Hiroko Miyamura

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A new pseudo coloring technique for large scale one-dimensional datasets is proposed. For visualization of a large scale dataset, user interaction is indispensable for selecting focus areas in the dataset. However, excessive switching of the visualized image makes it difficult for the user to recognize overview/ detail and detail/ detail relationships. The(More)
In this paper, we propose a novel transfer function design technique for multivariate volume rendering. This technique generates a multidimensional transfer function by logical synthesis of variables and transfer functions. This technique enables analysts to extract correlation of variables and to combine multivariate surface and volume shapes. And this(More)
With the recent development of supercomputers, it is required to efficiently visualize the result of super-large scale numerical simulations on a few hundreds to a few ten thousands of parallel processes. Conventional offline-processing of visualization give rise to difficult challenges such as transferring large-scale data and reassembly of extensive(More)
This paper proposes an adaptive visualization technique for representing a large-scale hierarchical dataset within a limited display space. A hierarchical dataset has nodes and links that reveal the parent-child relationship between the nodes. These nodes and links are described using graphics primitives. When the number of these primitives is large, it is(More)
With the recent development of supercomputers, it is required to efficiently visualize the results of extremely large-scale numerical simulations with a few hundreds to several tens of thousands of parallel processes. Conventional offline-processing visualization approaches are facing difficulties such as transferring large-scale data and reassembly of(More)
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