This paper presents a new GPU-based method for creating abstracted representations of photographs. Based on the constrained mean curvature flow and the Shock filter, our approach simplifies both shapes and colors simultaneously while preserving and conveying the directionality of important features and shape boundaries. The level of abstraction can be intuitively controlled by iteratively and incrementally applying the algorithm. Note that the whole pipeline design is highly parallel, enabling a GPU-based implementation. Our GPU-based method outperforms the CPU-based one with two magnitudes of speedup. Several experimental examples are shown to demonstrate both the effectiveness and efficiency of the proposed method. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Zhao, H., Jin, X., Shen, J., Shen, L., & Pan, R. (2009). Fast shape-simplifying image abstraction using graphics hardware. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5670 LNCS, pp. 390–398). https://doi.org/10.1007/978-3-642-03364-3_47
Mendeley helps you to discover research relevant for your work.