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| Lihi Zelnik-Manor, Michal Irani, "Multiview Constraints on Homographies," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 2, pp. 214-223, February, 2002. | |||
| BibTex | x | ||
| @article{ 10.1109/34.982901, author = {Lihi Zelnik-Manor and Michal Irani}, title = {Multiview Constraints on Homographies}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {24}, number = {2}, issn = {0162-8828}, year = {2002}, pages = {214-223}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.982901}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - Multiview Constraints on Homographies IS - 2 SN - 0162-8828 SP214 EP223 EPD - 214-223 A1 - Lihi Zelnik-Manor, A1 - Michal Irani, PY - 2002 KW - Homographies KW - homologies KW - motion estimation KW - multiview analysis. VL - 24 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
Abstract—The image motion of a planar surface between two camera views is captured by a homography (a
[1] J.R. Bergen, P. Anandan, K.J. Hanna, and R. Hingorani, “Hiercharchical Model-Based Motion Estimation,” Proc. European Conf. Computer Vision, pp. 237-252, 1992.
[2] S. Birchfield, “KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker,” http://robotics.stanford.edu/~birchklt.
[3] S. Carlsson and D. Weinshall, Dual Computation of Projective Shape and Camera Positions from Multiple Images Int'l J. Computer Vision, vol. 27, no. 3, pp. 227-241, May 1998.
[4] C. Criminisi, I. Reid, and Z. Zisserman, “Duality, Rigidity, and Planar Parallax,” Proc. European Conf. Computer Vision, vol. II, 1998.
[5] J.Q. Fang and T.S. Huang, “Solving Three-Dimensional Small-Rotation Motion Equations,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 253-258, 1983.
[6] O.D. Faugeras, Three-Dimensional Computer Vision: A Geometric Viewpoint.Cambridge, Mass.: MIT Press, 1993.
[7] A.W. Fitzgibbon and A. Zisserman, “Automatic Camera Recovery for Closed or Open Image Sequences,” Proc. European Conf. Computer Vision, pp. 310–326, 1998.
[8] L. Van Gool, L. Proesmans, and A. Zisserman, “Grouping and Invariants Using Planar Homologies,” Proc. Workshop Geometrical Modeling and Invariants for Computer Vision, 1995.
[9] R.I. Hartley, In Defense of the 8-Point Algorithm IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 6, pp. 580-593, June 1997.
[10] R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision. Cambridge Univ. Press, 2000.
[11] M. Irani, P. Anandan, and D. Weinshall, “From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications,” Proc. European Conf. Computer Vision, vol. II, pp. 829-845, 1998.
[12] M. Irani, B. Rousso, and S. Peleg, “Computing Occluding and Transparent Motions,” Int'l J. Computer Vision, vol. 12, no. 1, pp. 5-16, Jan. 1994.
[13] M. Irani, P. Anandan, and S. Hsu, “Mosaic Based Representations of Video Sequences and Their Applications,” Proc. Fifth Int'l Conf. Computer Vision, pp. 605-611, June 1995.
[14] K. Kanatani, “Optimal Homograhpy Computation with a Reliability Measure,” Proc. IAPR Workshop Machine Vision, pp. 17–19, Nov. 1998.
[15] B.D. Lucas and T. Kanade, “An Iterative Image Registration Technique With an Application to Stereo Vision,” Proc. Image Understanding Workshop, pp. 121–130, 1981.
[16] J. Ma and N. Ahuja, “Dense Shape and Motion from Region Correspondences by Factorization,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 219–224, 1998.
[17] P. Pritchett and A. Zisserman, “Matching and Reconstruction from Widely Separated Views In 3D Structure from Multiple Images of Large-Scale Environments,” Lecture Notes in Computer Science 1506, Springer-Verlag, pp. 219–224, 1998.
[18] Q.T. Luong and O. Faugeras, “Determining the Fundamental Matrix with Planes,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 489–494, June 1998.
[19] W.H. Press, S.A. Teukolsky, W.T. Vetterling, and B.P. Flannery, Numerical Recipes in C, second ed. Cambridge Univ. Press, 1992.
[20] J.G. Semple and G.T. Kneebone, Algebraic Projective Geometry. New York: Oxford Univ. Press, 1952.
[21] A. Shashua, "Projective Structure From Uncalibrated Images: Structure-From-Motion and Recognition," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 16, no. 8, pp. 778-790, Aug. 1994.
[22] A. Shashua and S. Avidan, "The Rank4 Constraint in Multiple View Geometry," Proc. European Conf. Computer Vision,Cambridge, UK, Apr. 1996.
[23] D. Sinclair, H. Christensen, and C. Rothwell, “Using the Relation Between a Plane Projectivity and the Fundamental Matrix,” SCIA, pp. 181–188, 1996.
[24] C.E. Springer, Geometry and Analysis of Projective Spaces. 1964.
[25] R. Szeliski and P. Torr, “Geometrically Constrained Structure from Motion: Points on Planes,” Proc. European Workshop 3D Structure from Multiple Images of Large-Scale Environments (SMILE), pp. 171-186, June 1998.
[26] B. Triggs, “Autocalibration from Planar Scenes,” Proc. Fifth European Conf. Computer Vision, pp. 89-105, June 1998.
[27] B. Triggs, “Plane + Parallax, Tensors and Factorization,” Proc. Sixth European Conf. Computer Vision, D. Vernon, ed., pp. 522-538, June/July 2000.
[28] T. Vieville, C. Zeller, and L. Robert, “Using Collineations to Compute Motion and Structure in an Uncalibrated Image Sequence,” Int'l J. Computer Vision, vol. 20, pp. 213–242, 1996.
[29] L. Zelnik-Manor and M. Irani, “Multi-Frame Estimation of Planar Motion,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 10, pp. 1105–1116, Oct. 2000.
[30] L. Zelnik-Manor and M. Irani, “Multiview Subspace Constraints on Homographies,” Proc. IEEE Int'l Conf. Computer Vision, vol. 1, pp. 710-715, Sept. 1999.
[31] Z.Y. Zhang, A Flexible New Technique for Camera Calibration Proc. Int'l Conf. Computer Vision, vol. 1, pp. 666-673, Sept. 1999.

