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Fast Shape-Simplifying Image Abstraction Using Graphics Hardware

  • Hanli Zhao
  • Xiaogang Jin
  • Jianbing Shen
  • Li Shen
  • Ruifang Pan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5670)

Abstract

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.

Keywords

Non-photorealistic rendering image abstraction flow-based filtering GPU 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hanli Zhao
    • 1
  • Xiaogang Jin
    • 1
  • Jianbing Shen
    • 2
  • Li Shen
    • 1
  • Ruifang Pan
    • 3
  1. 1.State Key Lab of CAD & CGZhejiang UniversityChina
  2. 2.School of Computer & TechnologyBeijing Institute of TechnologyChina
  3. 3.Zhejiang University of Media and CommunicationsChina

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