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Perspective Texture Synthesis Based on Improved Energy Optimization

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  • Syed Muhammad Arsalan Bashir
  • Farhan Ali Khan Ghouri

Abstract

Perspective texture synthesis has great significance in many fields like video editing, scene capturing etc., due to its ability to read and control global feature information. In this paper, we present a novel example-based, specifically energy optimization-based algorithm, to synthesize perspective textures. Energy optimization technique is a pixel-based approach, so it’s time-consuming. We improve it from two aspects with the purpose of achieving faster synthesis and high quality. Firstly, we change this pixel-based technique by replacing the pixel computation with a little patch. Secondly, we present a novel technique to accelerate searching nearest neighborhoods in energy optimization. Using k- means clustering technique to build a search tree to accelerate the search. Hence, we make use of principal component analysis (PCA) technique to reduce dimensions of input vectors. The high quality results prove that our approach is feasible. Besides, our proposed algorithm needs shorter time relative to other similar methods.

Suggested Citation

  • Syed Muhammad Arsalan Bashir & Farhan Ali Khan Ghouri, 2014. "Perspective Texture Synthesis Based on Improved Energy Optimization," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-9, October.
    • Handle: RePEc:plo:pone00:0110622
    DOI: 10.1371/journal.pone.0110622
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    1. Stephen Johnson, 1967. "Hierarchical clustering schemes," Psychometrika, Springer;The Psychometric Society, vol. 32(3), pages 241-254, September.
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