Zisserman - 14 
[4] Blake, A. and Yuille, A. Active Vision , MIT Press, 1992. 
[5] Carlsson, S., Duality of Reconstruction and Positioning from Projective Views, Proc. 
IEEE Workshop on Representation of Visual Scenes , 1995. 
[6] Faugeras, O.D., Luong, Q.T. and Maybank, S.J., Camera self-calibration: theory and 
experiments. Proc. 2nd European Conference on Computer Vision , Springer-Verlag, 
1992. 
[7] Faugeras, O.D. and Mourrain, B., On the geometry and algebra of the point and line 
correspondences between N images. Proc ICCV95 , 1995. 
[8] Grimson, W.E.L. Object Recognition by Computer, The Role of Geometric Con 
straints, MIT Press, 1990. 
[9] Hager, G., Calibration-free Visual Control Using Projective Invariance, Proc. ICCV 
95 , 1995. 
[10] Hartley, R.I., “Euclidean Reconstruction from Uncalibrated Views”, in Mundy J.L., 
Zisserman A., and Forsyth D.A., editors, Applications of Invariance in Computer 
Vision , LNCS 825, Springer-Verlag, 1994. 
[11] Hartley, R.I. and Gupta, R., Linear Pushbroom Cameras, Proc. ECCV , LNCS 800- 
801, Springer-Verlag, 1994. 
[12] Hartley, R.I., A linear method for reconstruction from lines and points, Proc ICCV 
95 , 1995. 
[13] Hollinghurst, N. and Cipolla R., Uncalibrated stereo hand-eye coordination. Proc. 
BMVC93, BMVA Press, 1993. 
[14] Huttenlocher, D.P. and Ullman, S. “Object Recognition Using Alignment,” Proc. 
ICCV1 , p.102-111, 1987. 
[15] Lowe, D.G. “The Viewpoint Consistency Constraint,” International Journal of Com 
puter Vision, Vol. 1, No. 1, p.57-72, 1987. 
[16] Luong Q.T., and Vieville, T., Canonic representations for the geometries of multiple 
projective views. Proc. 3rd European Conference on Computer Vision , pages 589-597. 
Springer-Verlag, 1994. 
[17] Maybank, S.J. and Faugeras, O.D., A theory of self-calibration of a moving camera. 
International Journal of Computer Vision , 8(2):123-151, 1992. 
[18] Moons, T., van Gool, L, van Diest, M. and Oosterlinck, A., Affine reconstruction from 
perspective image pairs obtained by a translating camera, In Mundy J.L., Zisserman 
A., and Forsyth D.A., editors, Applications of Invariance in Computer Vision , LNCS 
825, Springer-Verlag, 1994. 
[19] Mukherjee, D.P., Zisserman, A. and Brady, J.M., ‘Shape from symmetry—detecting 
and exploiting symmetry in affine images’. Phil. Trans. R. Soc. Lond. A , 351, 77-106, 
1995.