Abstract
The paper describes a software methodology for the graphics pipeline extension. It is argued that common modern visualization techniques do not satisfy current visualization software development requirements adequately enough. The proposed approach is based on specialized formal language called visualization algebra. By invoking data-driven design principles inherited from the existing programmable pipeline technology, the technique has a potential to reduce visualization software development costs and build a way for further computer graphics pipeline automation.
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Krasnoproshin, V., Mazouka, D. (2014). Data-Driven Method for High Level Rendering Pipeline Construction. In: Golovko, V., Imada, A. (eds) Neural Networks and Artificial Intelligence. ICNNAI 2014. Communications in Computer and Information Science, vol 440. Springer, Cham. https://doi.org/10.1007/978-3-319-08201-1_18
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DOI: https://doi.org/10.1007/978-3-319-08201-1_18
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08200-4
Online ISBN: 978-3-319-08201-1
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