3D Euclidean Reconstruction from the Variable Intrinsic Parameters of Camera
暂无分享,去创建一个
[1] Anders Heyden,et al. Euclidean reconstruction from image sequences with varying and unknown focal length and principal point , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[2] Richard I. Hartley,et al. Euclidean Reconstruction from Uncalibrated Views , 1993, Applications of Invariance in Computer Vision.
[3] Reinhard Koch,et al. Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[4] Bill Triggs,et al. Autocalibration and the absolute quadric , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[5] Sun Ji-zhou. Creating 3D Models with Uncalibrated Cameras , 2001 .
[6] Nader Bagherzadeh,et al. Recovering 3D metric structure and motion from multiple uncalibrated cameras , 2002, Proceedings. International Conference on Information Technology: Coding and Computing.
[7] R. Hartley,et al. Reconstruction from two views using approximate calibration , 2002 .
[8] Andrea Fusiello,et al. Uncalibrated Euclidean reconstruction: a review , 2000, Image Vis. Comput..
[9] A. Heyden,et al. Euclidean reconstruction from constant intrinsic parameters , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[10] Peter F. Sturm,et al. A Factorization Based Algorithm for Multi-Image Projective Structure and Motion , 1996, ECCV.
[11] Anders Heyden. Reconstruction from Image Sequences by Means of Relative Depths , 2004, International Journal of Computer Vision.
[12] Luc Van Gool,et al. A stratified approach to metric self-calibration , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[13] Richard I. Hartley,et al. In defence of the 8-point algorithm , 1995, Proceedings of IEEE International Conference on Computer Vision.
[14] Anders Heyden,et al. Minimal Conditions on Intrinsic Parameters for Euclidean Reconstruction , 1998, ACCV.
[15] Jianliang Tang,et al. Complete Solution Classification for the Perspective-Three-Point Problem , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Thierry Viéville,et al. Canonical Representations for the Geometries of Multiple Projective Views , 1996, Comput. Vis. Image Underst..
[17] Adrien Bartoli,et al. Multiple-view structure and motion from line correspondences , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[18] Olivier D. Faugeras,et al. 3-D Reconstruction of Urban Scenes from Image Sequences , 1998, Comput. Vis. Image Underst..
[19] Emanuele Trucco,et al. Uncalibrated vision for 3-D underwater applications , 1998, IEEE Oceanic Engineering Society. OCEANS'98. Conference Proceedings (Cat. No.98CH36259).
[20] S. Bougnoux,et al. From projective to Euclidean space under any practical situation, a criticism of self-calibration , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[21] Fumiaki Tomita,et al. A Factorization Method for Projective and Euclidean Reconstruction from Multiple Perspective Views via Iterative Depth Estimation , 1998, ECCV.
[22] Xing Chen,et al. Calibrating pan-tilt cameras in wide-area surveillance networks , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[23] Quang-Tuan Luong,et al. Self-Calibration of a Moving Camera from Point Correspondences and Fundamental Matrices , 1997, International Journal of Computer Vision.
[24] O. Faugeras,et al. Motion from point matches: Multiplicity of solutions , 1989, [1989] Proceedings. Workshop on Visual Motion.