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Projective reconstruction with occlusions

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Języki publikacji
EN
Abstrakty
EN
An iteration method for projective reconstruction from uncalibrated image sequence with occlusions is presented in this paper. The reprojection points replace all the occlusions and projective reconstruction is obtained from all the points alternately, and the real positions of occlusions and the accurate projective reconstruction are finally obtained. The experiments with both synthetic and real data show that the method is effective and accurate.
Twórcy
autor
autor
autor
  • School of Computer Science and Technology, Xidian University, Xi'an, 710071, China
Bibliografia
  • [1] A. Tang, T. Ng, Y. Hung and C. Leung: Projective reconstruction from line correspondences in multiple uncalibrated images. Pattern Recogn. 39, 889-896, 2006.
  • [2] Q. Ke and T. Kanade: Quasiconvex optimization for robust geometric reconstruction. IEEE T. Pattern Anal. 29, 1834-1847, 2007.
  • [3] J. Yan and M. Pollefeys: A factorizationbased approach for articulated nonrigid shape, motion and kinematic chain recovery from video. IEEE T. Pattern Anal. 30, 865-877, 2008.
  • [4] Y. Ma, J. Soatto, J. Kosecka and S. Sastry, An Invitation to 3D Vision: from Image to Geometric Models, Springer-Verlang, New York, 2004.
  • [5] R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, Cambridge, UK, 2000.
  • [6] Y. Hung and W. Tang: Projective reconstruction from multiple views with minimization of 2D reprojection error. Int. J. Comput. Vision 66, 305-317, 2006.
  • [7] R. Vidal and R. Hartley: Threeview multibody structure from motion. IEEE T. Pattern Anal. 30, 214-227, 2008.
  • [8] W. Tang and Y. Hung: A subspace method for projective reconstruction from multiple images with missing data: Image Vision Comput. 24, 515-524, 2006.
  • [9] C. Tomasi and T. Kanade: Shape and motion from image streams under orthography: A factorization method. Int. J. Comput. Vision 9, 137-154, 1992.
  • [10] P. Sturm and B. Triggs: A factorization based algorithm for multiimage projective structure and motion. Proc. ECCV96 1065, 709-720, 1996.
  • [11] D. Martinec and T. Pajdla: Structure from many perspective images with occlusions. Proc. ECCV02, Springer, Berlin, 355-369, 2002.
  • [12] A. Heyden, R. Berthilsson and G. Sparr: An iterative factorization method for projective structure and motion from image sequences. Image Vision Comput. 17, 981-991, 1999.
  • [13] P. Chen: Optimization algorithms on subspaces: revisiting missing data problem in lowrank matrix. Int. J. Comput. Vision 80, 125-142, 2008.
  • [14] T. Li, V. Kallem, D. Singaraju and R. Vidal: Projective factorization of multiple rigidbody motions. Proc. CVP R07, Minnesota, 1-6, 2007.
  • [15] H. Jia and A. Martinez: Lowrank matrix fitting based on subspace perturbation analysis with applications to structure from motion. IEEE T. Pattern Anal. 31, 841–854 (2009).
  • [16] K. Zhang, L. Zhang, H. Song and W. Zhou: Active contours with selective local or global segmentation: A new formulation and level set method. Image Vision Comput. (in press).
  • [17] K. Zhang, H. Song and L. Zhang: Active contours driven by local image fitting energy. Pattern Recogn. (in press)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAD-0018-0016
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