Main papers on Landmark points:

• Michael I. Miller and Laurent Younes, Group Actions, Homeomorphisms, and Matching: A General Framework, International Journal of Computer Vision, 41(1/2), 61–84, 2001
• Vincent Camion and Laurent Younes, Geodesic interpolating splines, Lecture Notes in Computer Science, Volume 2134, 513-527, Springer-Verlag, 2001
• Laurent Younes, Deformations, warping and object comparison: a tutorial, presented at ECCV 2000
• Laurent Younes, Deformation analysis for image and shape processing, Lecture notes.
• Alain Trouvé and Laurent Younes, Local geometry of deformable templates, Technical Report, Center for Imaging Science, Johns Hopkins University, July 7, 2003. .
• Michael I. Miller, Alain Trouvé and Laurent Younes, Geodesic Shooting for Computational Anatomy, Technical Report, Center for Imaging Science, Johns Hopkins University, August 18, 2003. .
• Alain Trouvé and Laurent Younes, Metamorphoses through Lie group action, Technical Report, Center for Imaging Science, Johns Hopkins University, 2004.

Related papers:

• Fred L. Bookstein, Principal Warps: Thin-Plane Splines and the Decomposition of Deformations, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 11, No. 6, June 1989
• Haili Chui and Anand Rangarajan, A new algorithm for non-rigid point matching, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hilton Head Island, South Carolina, June 13-15, 2000
• Haili Chui and Anand Rangarajan, A new point matching algorithm for non-rigid registration, Computer Vision and Image Understanding, Volume 89, Issues 2-3, 113-141, February-March 2003
• Paul Dupuis, Ulf Grenander and Michael I. Miller, Variational problems on flows of diffeomorphisms for image matching, Quarterly of Applied Mathematics, September 1998, Vol. 56, n. 3, 587-600
• Ulf Grenander and Michael I. Miller, Computational anatomy: An emerging discipline, Quarterly of Applied Mathematics 56, 617-694, 1998
• Gary E. Christensen, Richard Rabbitt and Michael I. Miller, Deformable templates using large deformation kinematics, IEEE Transactions on Image Processing, Vol. 5, No. 10, October 1996
• Gary E. Christensen, Richard Rabbitt and Michael I. Miller, 3D brain mapping using a deformable neuroanatomy, Physics in Medicine and Biology, Vol. 39, 609-618, March 1994
• Sarang C. Joshi and Michael I. Miller, Landmark Matching via Large Deformation Diffeomorphisms, IEEE Transactions on Image Processing, Vol. 9, No. 8, Aug. 2000
• Mirza Faisal Beg, Michael I. Miller, Alain Trouvé and Laurent Younes, The Euler-Lagrange Equation for Interpolating Sequence of Landmark Datasets, MICCAI 2003, Lecture Notes in Computer Science, Volume 2879, 918-925, 2003
• Joan Glaunes, Marc Vaillant and Michael I. Miller, Landmark Matching via Large Deformation Diffeomorphisms on the Sphere, Journal of Mathematical Imaging and Vision, Kluwer Academic Publishers, No. 20, 179-200, 2004
• Laurent Younes, Computable elastic distances between shapes, SIAM Journal on Applied Mathematics, Vol. 58, No. 2, pp. 565-586, April 1998
• Alain Trouvé and Laurent Younes, On a class of diffeomorphic matching problems in one dimension, SIAM Journal on Control and Optimization, Vol. 39, No. 4, pp. 1112–1135, 2000
• Alain Trouvé and Laurent Younes, Diffeomorphic matching problems in one dimension: designing and minimizing matching functionals, ECCV 2000, Lecture Notes in Computer Science, Volume 1842, 573–587, 2000
• Alain Trouvé, An approach to pattern recognition through infinite dimensional group action, Technical Report, Ecole Nationale Superieure, Université Paris 6, Département de Mathématiques et Informatique, Laboratoire d'Analyse Numérique, May 1995
• Michael I. Miller, Alain Trouvé and Laurent Younes, On the metrics and Euler-Lagrange equations of computational anatomy, Annual Review of Biomedical Engineering, 2002, Vol. 4, 375–405

Other papers:

• David G. Kendall, Shape manifolds, Procrustean metrics, and complex projective spaces, Bull. London Math. Soc., Vol. 16, pp. 81-121, 1984
• David G. Kendall, The Statistics of Shape, Interpreting Multivariate Data (Ed. V. Barnett), pp. 75-80, Wiley, 1981