Atkinson, K.B. 1996. Close Range Photogrammetry and Machine Vision. Whittles Publishing.
Bretzner, L. and Lindeberg, T. 1998. Use your hand as a 3-d mouse, or, relative orientation from extended sequences of sparse point and line correspondences using the affine trifocal tensor. In Proc. 5th European Conf. on Computer Vision, Freiburg, Germany.
Faugeras, O.D. 1992. What can be seen in three dimensions with an uncalibrated stereo rig? In Proc. 2nd European Conf. on Computer Vision, G. Sandini (Ed.), Springer-Verlag: Santa Margherita Ligure, Italy, pp. 563–578.
Heyden, A. 1995. Geometry and Algebra of Multipe Projective Transformations. Ph.D. Thesis, Lund Institute of Technology, Sweden.
Jacobs, D. 1997. Linear fitting with missing data: Applications to structure-from-motion and to characterizing intensity images. In Proc. Conf. Computer Vision and Pattern Recognition, Puerto Rico, USA, pp. 206–212.
Kahl, F. and Heyden, A. 1998. Structure and motion from points, lines and conics with affine cameras. In Proc. 5th European Conf. on Computer Vision, Freiburg, Germany.
Koenderink, J.J. and van Doorn, A.J. 1991. Affine structure from motion. J. Opt. Soc. America, 8(2):377–385.
Ma, S.D. 1993. Conic-based stereo, motion estimation, and pose determination. Int. Journal of Computer Vision, 10(1):7–25.
Maybank, S. 1993. Theory of Reconstruction from Image Motion. Springer-Verlag: Berlin, Heidelberg, New York.
McLauchlan, P.F. and Murray, D.W. 1995. A unifying framework for structure and motion recovery from image sequences. In Proc. 5th Int. Conf. on Computer Vision, MIT, Boston, MA, IEEE Computer Society Press, Los Alamitos, California, pp. 314–320.
Mundy, J.L. and Zisserman, A. (Eds). 1992. Geometric Invariance in Computer Vision. MIT Press, Cambridge Ma, USA.
Quan, L. and Kanade, T. 1997. Affine structure from line correspondences with uncalibrated affine cameras. IEEE Trans. Pattern Analysis and Machine Intelligence, 19(8).
Quan, L. and Ohta, Y. 1998. A new linear method for euclidean motion/structure from three calibrated affine views. In Proc. Conf. Computer Vision and Pattern Recognition, Santa Barbara, USA, pp. 172–177.
Semple, J.G. and Kneebone, G.T. 1952. Algebraic Projective Geometry. Clarendon Press, Oxford.
Shapiro, L.S. 1995. Affine Analysis of Image Sequences. Cambridge University Press.
Shapiro, L.S., Zisserman, A., and Brady, M. 1995. 3d motion recovery via affine epipolar geometry. Int. Journal of Computer Vision, 16(2):147–182.
Shashua, A. and Navab, N. 1996. Relative affine structure: Canonical model for 3d from 2d geometry and applications. IEEE Trans. Pattern Anal. Machine Intell
Sparr, G. 1996. Simultaneous reconstruction of scene structure and camera locations from uncalibrated image sequences. In Proc. Int. Conf. on Pattern Recognition, Vienna, Austria.
Sturm, P. and Triggs, B. 1996. A factorization based algorithm for multi-image projective structure and motion. In Proc. 4th European Conf. on Computer Vision, Cambridge, UK, pp. 709–720.
Tomasi, C. and Kanade, T. 1992. Shape and motion from image streams under orthography: A factorization method. Int. Journal of Computer Vision, 9(2):137–154.
Torr, P. 1995. Motion Segmentation and Outlier Detection. Ph.D. Thesis, Department of Engineering Science, University of Oxford.
Triggs, B. 1996. Factorization methods for projective structure and motion. In Proc. Conf. Computer Vision and Pattern Recognition, San Francisco, USA.
Triggs, B. 1997. Linear projective reconstruction from matching tensors. Image and Vision Computing, 15(8):617–625.
Weng, J., Huang, T.S., and Ahuja, N. 1992. Motion and structure from line correspondences: Closed-form solution, uniqueness, and optimization. IEEE Trans. Pattern Analysis and Machine Intelligence, 14(3):318–336.