Detecting planar homographies in an image pair

作者: E. Vincent , R. Laganiere

DOI: 10.1109/ISPA.2001.938625

关键词:

摘要: … Their simplicity results in that, under perspective projection, the transformation between a world plane and its corresponding image plane is projective Iinear, or a homography. These …

参考文章(14)
Théodore Papadopoulo, Quang-Tuan Luong, Rachid Deriche, Olivier Faugeras, On determining the fundamental matrix : analysis of different methods and experimental results INRIA. ,(1993)
Philip Pritchett, Andrew Zisserman, Matching and Reconstruction from Widely Separated Views european workshop on 3d structure from multiple images of large-scale environments. pp. 78- 92 ,(1998) , 10.1007/3-540-49437-5_6
Paul Beardsley, Phil Torr, Andrew Zisserman, 3D Model Acquisition from Extended Image Sequences european conference on computer vision. pp. 683- 695 ,(1996) , 10.1007/3-540-61123-1_181
Bill Triggs, Autocalibration from Planar Scenes european conference on computer vision. ,vol. 1406, pp. 89- 105 ,(1998) , 10.1007/BFB0055661
Manolis I.A. Lourakis, Stelios C. Orphanoudakis, Visual Detection of Obstacles Assuming a Locally Planar Ground asian conference on computer vision. pp. 527- 534 ,(1998) , 10.1007/3-540-63931-4_258
O. D. Faugeras, Q. -T. Luong, S. J. Maybank, Camera self-calibration: Theory and experiments Computer Vision — ECCV'92. pp. 321- 334 ,(1992) , 10.1007/3-540-55426-2_37
P.H.S Torr, A Zisserman, S.J Maybank, Robust Detection of Degenerate Configurations while Estimating the Fundamental Matrix Computer Vision and Image Understanding. ,vol. 71, pp. 312- 333 ,(1998) , 10.1006/CVIU.1997.0559
A. Criminisi, I. Reid, A. Zisserman, A plane measuring device Image and Vision Computing. ,vol. 17, pp. 625- 634 ,(1999) , 10.1016/S0262-8856(98)00183-8
ROBERT LAGANIÈRE, A MORPHOLOGICAL OPERATOR FOR CORNER DETECTION Pattern Recognition. ,vol. 31, pp. 1643- 1652 ,(1998) , 10.1016/S0031-3203(98)00017-X
Q.-T. Luong, O.D. Faugeras, Determining the fundamental matrix with planes: instability and new algorithms computer vision and pattern recognition. pp. 489- 494 ,(1993) , 10.1109/CVPR.1993.341085