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Recursive Error-Component Correcting Method for 3D Shape Reconstruction

3차원 형상 복원을 위한 재귀적 오차 성분 보정 방법

  • Received : 2017.09.24
  • Accepted : 2017.10.11
  • Published : 2017.10.31

Abstract

This paper is a study on error correction for three-dimensional shape reconstruction based on factorization method. The existing error correction method based on factorization has a limitation of correction because it is optimized globally. Thus in this paper, we propose our new method which can find and correct the only major error influence factor toward three-dimensional reconstructed shape instead of global approach. We define the error-influenced factor in two-dimensional re-projection deviation space and directly control the error components. In addition, it is possible to improve the error correcting performance by recursively applying the above process. This approach has an advantage under noise because it controls the major error components without depending on any geometric information. The performance evaluation of the proposed algorithm is verified by simulation with synthetic and real image sequence to demonstrate noise robustness.

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