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Volume 31 Issue 3
May  2016
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Jing Wu, Paul L. Rosin, Xianfang Sun, Ralph R. Martin. Improving Shape from Shading with Interactive Tabu Search[J]. Journal of Computer Science and Technology, 2016, 31(3): 450-462. DOI: 10.1007/s11390-016-1639-1
Citation: Jing Wu, Paul L. Rosin, Xianfang Sun, Ralph R. Martin. Improving Shape from Shading with Interactive Tabu Search[J]. Journal of Computer Science and Technology, 2016, 31(3): 450-462. DOI: 10.1007/s11390-016-1639-1
shu

Improving Shape from Shading with Interactive Tabu Search

  • School of Computer Science and Informatics, Cardiff University, Cardiff, CF24 3AA, U.K.

Funds: This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) of UK.
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  • Received Date: November 26, 2015
  • Revised Date: March 08, 2016
  • Published Date: May 04, 2016
    Abstract
  • Optimisation based shape from shading (SFS) is sensitive to initialization: errors in initialization are a significant cause of poor overall shape reconstruction. In this paper, we present a method to help overcome this problem by means of user interaction. There are two key elements in our method. Firstly, we extend SFS to consider a set of initializations, rather than to use a single one. Secondly, we efficiently explore this initialization space using a heuristic search method, tabu search, guided by user evaluation of the reconstruction quality. Reconstruction results on both synthetic and real images demonstrate the effectiveness of our method in providing more desirable shape reconstructions.
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    • References (25)
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