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KVS: A simple and effective framework for scientific visualization

In this paper, we propose a visualization development framework that is a C++ class library for easily and efficiently rendering three-dimensional datasets, such as numerical simulation results, medical image datasets, and measurement datasets. Our framework provides a modular programming environment that supports the construction and execution of a visualization pipeline and allows the user to readily implement custom visualization algorithms using our simple module-based execution model. In addition, we also provide a simple implementation of a visualization environment that can handle multiple volumes and semi-transparent polygons in a single scene, which we call a fused visualization environment. Although many visualization software packages have been proposed thus far, such an environment has not previously been supported because of the visibility ordering problem. To confirm the effectiveness of our proposed visualization framework, we demonstrate several visualization applications implemented using this framework.