S. Abbasi and F. Mokhtarian, Shape Similarity Retrieval Under Affine Transform: Application to Multi-view Object Representation and Recognition, in Proc. International Conference on Computer Vision, pp. 450–455, IEEE, 1999.
 D. Farin and P. H. N. de With, A New Similarity Measure for Sub-pixel Accurate Motion Analysis in Object-based Coding, in Proc. of the 5th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI), pp. 244–249, July 2001.
 O. D. Faugeras, Three-dimensional Computer Vision: A Geometric Viewpoint, MIT Press, Cambridge, MA, 1999.
 M. Fischler2and R. Bolles, Random sample concensus: A paradigm for model fitting with applications to image analysis and automated cartography, Communications ACM, 24(6):381–395, 1981.
 C. Harris and M. Stephens, A Combined Corner and Edge Detector, in Proc. Alvey Vision Conference, pp. 147–151, 1988.
 R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, Cambridge, 2001.
 B. K. P. Horn, Robot Vision, MIT Press, Cambridge, MA, 1986.
 M. Irani and P. Anandan, About Direct Methods, in Vision Algorithms: Theory and Practice, International Workshop on Vision Algorithms, pp. 267–277, 1999.
 K. Levenberg, A method for the solution of certain problems in least squares, Quart. Appl. Math., 2:164–168, 1944.
 S. Z. Li, Markov Random Field Modeling in Computer Vision. Artificial Intelligence, Springer-Verlag, Tokyo, 1995.
 D. Marquardt, An algorithm for least-squares estimation of nonlinear parameters, SIAM J. Appl. Math., 11:431–441, 1963.
 M. Massey and W. Bender, Salient stills: Process and practice, IBM Systems Journal, 35(3/4):557–573, 1996.
 F. Mokhtarian,S. Abbasi, and J. Kittler, Efficient and Robust Retrieval by Shape Content Through Curvature Scale Space, in Proc. International Workshop on Image DataBases and MultiMedia Search, pp. 35–42, 1996.
 F. Mokhtarian,S. Abbasi, and J. Kittler, Robust and Efficient Shape Indexing Through Curvature Scale Space, in British Machine Vision Conference, 1996.
 W. H. Press,S. A. Teukolsky,W. T. Vetterling, and B. P. Flannery, Numerical Recipes in C: The Art of Scientific Computing, Cambridge University Press, New York, 1992.
 S. Richter, G. K hne, and O. Schuster, Contour-based Classification of Video Objects, in Proc. of SPIE, Storage and Retrieval for Media Databases, Vol. 4315, pp. 608–618, 2001.
 P. J. Rousseeuw and A. M. Leroy, Robust Regression and Outlier Detection, John Wiley, New York, 1987.
 P. J. Rousseeuw and K. Van Driesen, Computing LTS regression for Large Data Sets, Institute of Mathematical Statistics Bulletin, 27(6), November/December 1998.
 C. Schmid,R. Mohr, and C. Bauckhage, Evaluation of interest point detectors, International Journal of Computer Vision, 37(2): 151–172, June 2000.
 R. Szeliski, Image mosaicing for tele-reality applications, Technical Report 94/2, Digital Equipment Corporation, Cambridge Research, June 1994.
 L. Teodosio and W. Bender, Salient video stills: content and context preserved, ACM Multimedia, 1993.
 P. H. S. Torr and A. Zisserman, Feature Based Methods for Structure and Motion Estimation, Vision Algorithms: Theory and Practice, International Workshop on Vision Algorithms, 278–294, 1999.