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Alpha-matte-based depth map enhancement for hairy objects

Alpha-matte-based depth map enhancement for hairy objects

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Most existing depth estimation methods generate an erroneous depth map when a foreground object contains hairy boundaries and this error is very critical in many applications. To solve this problem, a new depth map enhancement method is proposed. The given depth map is enhanced by propagating depth values of the neighbourhood based on an alpha matte. The experiment results show that the boundary of a hairy object is significantly refined by the proposed method.

References

    1. 1)
      • W. Xiong , H.S. Chung , J. Jia . Fractional stereo matching using expectation-maximisation. IEEE Trans. Pattern Anal. Mach. Intell. , 3 , 428 - 443
    2. 2)
      • Matusik, W.: `Image-based 3D photography using opacity hulls', Proc. ACM SIGGRAPH, July 2002, San Antonio, TX, USA, p. 369–374.
    3. 3)
      • Levin, A., Lischinski, D., Weiss, Y.: `A closed form solution to natural image matting', Proc. IEEE CVPR, 2006, New York, USA, p. 61–68.
    4. 4)
      • Tappen, M.F., Freeman, W.T.: `Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters', Proc. IEEE ICCV, 2003, Nice, France, p. 900–907.
    5. 5)
      • R. Szeliski . A comparative study of energy minimisation methods for Markov random fields with smoothness-based priors. IEEE Trans. Pattern Anal. Mach. Intell. , 6 , 1068 - 1080
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