What can two images tell us about a third one?
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[1] R. Basri. On the Uniqueness of Correspondence under Orthographic and Perspective Projections , 1991 .
[2] Amnon Shashua,et al. On Geomatric and Algebraic Aspects of 3D Affine and Projective Structures from Perspective 2D Views , 1993, Applications of Invariance in Computer Vision.
[3] Kenichi Kanatani,et al. Computational projective geometry , 1991, CVGIP Image Underst..
[4] O. Silven,et al. Progress in trinocular stereo , 1988 .
[5] R. Basri. On the Uniqueness of Correspondence from Orthographic and Perspective Projection , 1992 .
[6] Eamon B. Barrett,et al. Some invariant linear methods in photogrammetry and model-matching , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[7] Akira Ishii,et al. Three-View Stereo Analysis , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] L. Robert. Perception stereoscopique de courbes et de surfaces tridimensionnelles. Application a la robotique mobile , 1993 .
[9] Luce Morin,et al. Relative Positioning with Poorly Calibrated Cameras , 1990 .
[10] Rajiv Gupta,et al. Stereo from uncalibrated cameras , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[11] J. G. Semple,et al. Algebraic Projective Geometry , 1953 .
[12] Ronen Basri,et al. Recognition by Linear Combinations of Models , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[13] O. Faugeras,et al. On determining the fundamental matrix : analysis of different methods and experimental results , 1993 .
[14] Andrew Zisserman,et al. Geometric invariance in computer vision , 1992 .
[15] Amnon Shashua,et al. Projective depth: A geometric invariant for 3D reconstruction from two perspective/orthographic views and for visual recognition , 1993, 1993 (4th) International Conference on Computer Vision.
[16] John Illingworth,et al. Line Based Trinocular Stereo , 1992, BMVC.
[17] Long Quan,et al. Invariants of 6 Points from 3 Uncalibrated Images , 1994, ECCV.
[18] O. Faugeras. Three-dimensional computer vision: a geometric viewpoint , 1993 .
[19] Roger Mohr,et al. It can be done without camera calibration , 1991, Pattern Recognit. Lett..
[20] Enrico Grosso,et al. Relative positioning with uncalibrated cameras , 1992 .
[21] Olivier D. Faugeras,et al. Curve-based stereo: figural continuity and curvature , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[22] Yoshifumi Kitamura,et al. Three-dimensional data acquisition by trinocular vision , 1989, Adv. Robotics.
[23] Amnon Shashua,et al. Algebraic Functions For Recognition , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[24] Olivier D. Faugeras,et al. What can be seen in three dimensions with an uncalibrated stereo rig , 1992, ECCV.
[25] O. D. Faugeras,et al. Camera Self-Calibration: Theory and Experiments , 1992, ECCV.
[26] Rachid Deriche,et al. Using Canny's criteria to derive a recursively implemented optimal edge detector , 1987, International Journal of Computer Vision.
[27] John Illingworth,et al. Line Based Trinocular Stereo , 1992 .