next up previous
Next: About this document ... Up: Developing Flexible Models for Previous: Milestones

References

[1] T.F.Cootes, A.Hill, C.J.Taylor, J.Haslam, Use of active shape model for locating structures in medical images. Image and Vision Computing Vol.12, No.6, July 1994, pp. 355-365.

[2] X.P. Zhu, T.F.Cootes, A.Lanitis, C.E.Hutchinson, J.M. Hawnaur, C.J.Taylor, A model based approach to MR image registration. In: Proc. 2nd Meeting of the Society of Magnetic Resonance, San Francisco, (Soc. of M.R., Berkley) 1994; p.816.

[3] M. Kass, A. Witkin and D. Terzopoulos , Snakes: Active Contour Models, in Proc. First International Conference on Computer Vision, pp 259-268 IEEE Computer Society Press, 1987.

[4] A.L. Yuille, P. Hallinan and D.S. Cohen Feature extraction from faces using deformable templates, IJCV, 8, August 1992, pp. 99-112.

[5] P. Lipson, A.L. Yuille, D. O'Keeffe, J. Cavanaugh, J. Taaffe and D. Rosenthal, Deformable Templates for Feature Extraction from Medical Images. in Proceedings of the First European Conference on Computer Vision (Lecture Notes in Computer Science), (O. Faugeras. Ed.) pp. 413-417, Springer-Verlag, 1990.

[6] G.L. Scott, The Alternative Snake - And Other Animals. Proceedings 3rd Alvey Vision Conference (Cambridge), 1987, pp. 341-347.

[7] L.H. Staib and J.S. Duncan, Parametrically Deformable Contour Models, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, 1989, pp. 427-430.

[8] A. Pentland and S. Sclaroff, Closed-Form Solutions for Physically Based Modelling and Recognition, IEEE Trans. on Pattern Analysis and Machine Intelligence. 13, 1991, 715-729.

[9] C.Nastar, N.Ayache, Fast Segmentation, Tracking and Analysis of Deformable Objects. in Proc. Fourth International Conference on Computer Vision, IEEE Computer Society Press, 1993, pp.275-279.

[10] U. Grenander and M.I.Miller, Representations of Knowledge in Complex Systems. J.R.Statistical Soc. B, 56, No.3, 1994.

[11] K.V. Mardia, J.T. Kent and A.N. Walder, Statistical Shape Models in Image Analysis, Proceedings of the 23rd Symposium on the Interface, Seattle 1991, pp 550-557.

[12] F.L. Bookstein, Morphometric Tools for Landmark Data, Cambridge University Press, 1991.

[13] Hinton, G E, Williams, C K I, and Revow, M D Adaptive Elastic Models for Hand-Printed Character Recognition in Advances in Neural Information Processing Systems 4, (J.E.Moody, S.J.Hanson, R.P.Lippmann. Ed.s) Morgan Kauffmann, San Mateo, CA, 1992.

[14] R.M.Curwen, A.Blake, R.Cipolla, Parrallel Implementation of Dynamics for real-time snakes, in Proc. British Machine Vision Conference, ed. P.Mowforth, Springer-Verlag, 1991, pp.29-35.

[15] T.F.Cootes, C.J.Taylor, D.H.Cooper and J.Graham, Training Models of Shape from Sets of Examples. in Proc. British Machine Vision Conference. Springer-Verlag, 1992, pp.9-18.

[16] T.F.Cootes, C.J.Taylor, Active Shape Models - `Smart Snakes'. in Proc. British Machine Vision Conference. Springer-Verlag, 1992, pp.266-275.

[17] T.F. Cootes, D. Cooper, C.J. Taylor and J. Graham, Image search using trained flexible shape models, Advances in Applied Statistics: Statistics and Images: 2. Ed.K.V.Mardia, Carfax Publishing Company, 1994, pp.111-139.

[18] T.F.Cootes, C.J.Taylor, Active Shape Model Search using Local Grey-Level Models: A Quantitative Evaluation, in Proc. British Machine Vision Conference, (Ed. J.Illingworth), BMVA Press, 1993, pp.639-648.

[19] T.F.Cootes , C.J.Taylor, A.Lanitis, Active Shape Models : Evaluation of a Multi-Resolution Method for Improving Image Search, in Proc. British Machine Vision Conference, 1994, pp.327-336.

[20] T.F.Cootes , C.J.Taylor, Combining point distribution models with shape models based on finite element analysis. in Proc. British Machine Vision Conference, 1994, pp. 419-428.

[21] A. Hill, T.F. Cootes, C.J. Taylor, K.Lindley, Medical image interpretation : a generic approach using deformable templates. Medical Informatics Vol.19, No.1 1994, pp 47-59.

[22] A.Lanitis, C.J.Taylor, T.F.Cootes, A Generic System For Classifying Variable Objects Using Flexible Template Matching. in Proc. British Machine Vision Conference. BMVA Press, 1993, pp.329-338.

[23] J.J.Hunter, J.Graham, C.J.Taylor, User Programmable Visual Inspection. in Proc. British Machine Vision Conference. , BMVA Press, 1994, pp. 661-670.

[24] P.D.Sozou, T.F.Cootes, C.J.Taylor, A non-linear generalisation of point distribution models using polynomial regression. in Proc. British Machine Vision Conference. , BMVA Press, 1994, pp.397-406.

[25] A.Hill, C.J.Taylor, Automatic landmark generation for point distribution models. in Proc. British Machine Vision Conference, 1994, pp.429-438.

[26] A. Hill,C.J. Taylor and T.Cootes, Object Recognition by Flexible Template Matching using Genetic Algorithms, in Proc. European Conference on Computer Vision (G.Sandini. Ed.). pp. 852-856, Springer-Verlag, 1992.

[27] D.R.Bailes, C.J.Taylor, The Use of Symmetry Chords for Expressing Grey Level Constraints, in Proc. British Machine Vision Conference. Springer-Verlag, 1992, pp.296-305.

[28] B.S.Morse, S.M.Pizer, A.Liu, Multiscale medial analysis of medical images. Image and Vision Computing Vol.12, No.6, July 1994, pp. 327-338.

[29] B.M.ter Haar Romeny, L.M.J. Florack, A.H. Salden, M.A.Viewgever, Higher Order Differential Structure of Images, Image and Vision Computing Vol.12, No.6, July 1994, pp.317-326.

[30] F.Mokhtarian, A.Mackworth, A theory of multi-scale Curvature Based Shape Representation for planar curves, IEEE PAMI Vol.14 No.8 1992, pp.789-805.

[31] L.D.Griffin, G.P.Robinson, A.C.F.Colchester, Multi-scale Hierarchical Segmentation, in Proc. British Machine Vision Conference, (Ed. J.Illingworth), BMVA Press, 1993, pp.289-298.

[32] A.Baumberg, D.Hogg, Learning Flexible Models from Image Sequences, Proc. ECCV 1994. Lecture Notes in Computer Science 801, ed. J.O.Eklundh, Springer-Verlag, 1994, pp.299-308.

[33] O.Faugeras, Three Dimensional Computer Vision, A Geometric Viewpoint, MIT Press, 1993

[34] K.Kanatani, Geometric Computation for Machine Vision, Oxford University Press, 1993

[35] O.Faugeras, What can be seen in three dimensions with an uncalibrated stereo rig?, Proc. European Conference on Computer Vision. 1992, pp. 563-578

[36] L.Quan, Invariants of 6 points from 3 uncalibrated images. Proc. European Conference on Computer Vision. 1994, pp 459-470.

[37] A.Blake, R.Curwen, A.Zisserman, Affine-invariant contour tracking with automatic control of spatiotemporal scale. in Proc. Fourth International Conference on Computer Vision, IEEE Computer Society Press, 1993, pp.66-75.

[38] P.A.Beardsley, A.Zisserman and D.W.Murray, Navigation using Affine Structure from Motion. Proc. ECCV 1994 (Vol.2). Lecture Notes in Computer Science 801, ed. J.O.Eklundh, Springer-Verlag, 1994, pp. 85-96.

[39] G.Sparr, A Common Framework for Kinetic Depth Reconstruction and Motion for Deformable Objects. Proc. ECCV 1994 (Vol.2). Lecture Notes in Computer Science 801, ed. J.O.Eklundh, Springer-Verlag, 1994, pp. 471-482.

[40] R.Deriche, Z.Zhang, Q.T.Luong, O.Faugeras, Robust Recovery of the Epipolar Geometry for an Uncalibrated Stereo Rig. Proc. ECCV 1994 (Vol.1). Lecture Notes in Computer Science 800, ed. J.O.Eklundh, Springer-Verlag, 1994, pp. 567-576.

[41] C.A.Rothwell, D.A.Forsyth, A.Zisserman, J.L.Mundy, Extracting Projective Structure from Single Perspective Views of 3D Point Sets. in Proc. Fourth International Conference on Computer Vision, IEEE Computer Society Press, 1993, pp. 573-582.

[42] J.L.Mundy, A.Zisserman, D.Forsyth (Eds.), Applications of Invariance in Computer Vision, Lecture Notes in Computer Science 825, Springer-Verlag, 1993.


next up previous
Next: About this document ... Up: Developing Flexible Models for Previous: Milestones
Tim Cootes
12/9/1997