Title:	A VISUALIZATION PIPELINE FOR COMPUTABLE GEOMETRIC MODEL DATA
Author(s):	Huawei Wang, Li Xiao, Zhiwei Ai and Yi Cao
ISBN:	978-989-8533-66-1
Editors:	Yingcai Xiao and Ajith P. Abraham
Year:	2017
Edition:	Single
Keywords:	Visualization pipeline, computable geometric model, data structure, data filtering, data picking
Type:	Full Paper
First Page:	147
Last Page:	154
Language:	English
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Paper Abstract:	A visualization pipeline is proposed in this paper to realize visual interaction of computable geometric models. It is an extension of the VTK pipeline, which processes mesh data in general. To achieve this, a new data structure is designed to encapsulate the computable geometric model and connect a pre-processing engine to parse the model in real time. And then, the VTK pipeline is adapted for the data structure at several aspects, including data filtering, data rendering, data picking and so on. Based on the data structure, effective algorithms for filtering and picking are also proposed so as to reduce runtime intermediate data as much as possible. As a result, the seamless docking of the pre-processing engine to the visual analysis engine is achieved. This work strongly supports the development of integrated application software of pre-processing, numerical simulation and post-processing visual analysis.
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