Critical Motions for Auto-Calibration When Some Intrinsic Parameters Can Vary
暂无分享,去创建一个
[1] A. Heyden,et al. Euclidean reconstruction from constant intrinsic parameters , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[2] Rajiv Gupta,et al. Stereo from uncalibrated cameras , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[3] 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.
[4] Bill Triggs,et al. Critical motions in euclidean structure from motion , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[5] Peter F. Sturm,et al. Critical motion sequences for the self-calibration of cameras and stereo systems with variable focal length , 1999, Image Vis. Comput..
[6] Luc Van Gool,et al. The modulus constraint: a new constraint self-calibration , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[7] Thomas S. Huang,et al. Theory of Reconstruction from Image Motion , 1992 .
[8] J. G. Semple,et al. Algebraic Projective Geometry , 1953 .
[9] Luc Van Gool,et al. Euclidean 3D Reconstruction from Image Sequences with Variable Focal Lenghts , 1996, ECCV.
[10] K. Atkinson. Close Range Photogrammetry and Machine Vision , 1996 .
[11] Gunnar Sparr. An algebraic-analytic method for affine shapes of point configurations , 1991 .
[12] R. Hartley. Extraction of Focal Lengths from the Fundamental Matrix , 2001 .
[13] O. Faugeras,et al. Camera Self-Calibration from Video Sequences: the Kruppa Equations Revisited , 1996 .
[14] Andrew Zisserman,et al. Self-Calibration from Image Triplets , 1996, ECCV.
[15] Reinhard Koch,et al. Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[16] Anders Heyden,et al. Minimal Conditions on Intrinsic Parameters for Euclidean Reconstruction , 1998, ACCV.
[17] Fredrik Kahl. Critical motions and ambiguous Euclidean reconstructions in auto-calibration , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[18] O. Faugeras. Three-dimensional computer vision: a geometric viewpoint , 1993 .
[19] Richard I. Hartley,et al. Estimation of Relative Camera Positions for Uncalibrated Cameras , 1992, ECCV.
[20] Bill Triggs,et al. Autocalibration and the absolute quadric , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[21] Luc Van Gool,et al. Affine Reconstruction from Perspective Image Pairs Obtained by a Translating Camera , 1993, Applications of Invariance in Computer Vision.
[22] J. Krames. Zur Ermittlung eines Objektes aus zwei Perspektiven. (Ein Beitrag zur Theorie der “gefährlichen Örter”.) , 1941 .
[23] Peter F. Sturm,et al. Critical motion sequences for monocular self-calibration and uncalibrated Euclidean reconstruction , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[24] Berthold K. P. Horn. Motion fields are hardly ever ambiguous , 1988, International Journal of Computer Vision.
[25] Anders Heyden,et al. Reconstruction from Calibrated Cameras—A New Proof of the Kruppa-Demazure Theorem , 1999, Journal of Mathematical Imaging and Vision.
[26] Anders Heyden,et al. Flexible calibration: minimal cases for auto-calibration , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[27] H. C. Longuet-Higgins. Multiple interpretations of a pair of images of a surface , 1988, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.
[28] Amnon Shashua,et al. Ambiguity in reconstruction from images of six points , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[29] Andrew Zisserman,et al. Resolving ambiguities in auto–calibration , 1998, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[30] Olivier D. Faugeras,et al. A theory of self-calibration of a moving camera , 1992, International Journal of Computer Vision.
[31] Olivier D. Faugeras,et al. What can be seen in three dimensions with an uncalibrated stereo rig , 1992, ECCV.
[32] O. D. Faugeras,et al. Camera Self-Calibration: Theory and Experiments , 1992, ECCV.
[33] Peter F. Sturm. Vision 3D non calibrée : contributions à la reconstruction projective et étude des mouvements critiques pour l'auto-calibrage. (Uncalibrated 3D Vision: Contributions to Projective Reconstruction and Study of the Critical Motions for Self-Calibration) , 1997 .
[34] Gene H. Golub,et al. Matrix computations , 1983 .
[35] C. Cullen,et al. Matrices and linear transformations , 1966 .
[36] I. Reid,et al. Metric calibration of a stereo rig , 1995, Proceedings IEEE Workshop on Representation of Visual Scenes (In Conjunction with ICCV'95).
[37] 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).
[38] Olivier Faugeras,et al. Three-Dimensional Computer Vision , 1993 .
[39] M. Brooks,et al. Recovering unknown focal lengths in self-calibration: an essentially linear algorithm and degenerate configurations , 1996 .
[40] Shahriar Negahdaripour. Multiple Interpretations of the Shape and Motion of Objects from Two Perspective Images , 1990, IEEE Trans. Pattern Anal. Mach. Intell..