Uniform Distribution, Distance and Expectation Problems for Geometric Features Processing
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[1] Xavier Pennec,et al. Correctness and robustness of 3D rigid matching with bounded sensor error , 1993 .
[2] Haim J. Wolfson,et al. Model-Based Object Recognition by Geometric Hashing , 1990, ECCV.
[3] Nicholas Ayache,et al. Rigid, affine and locally affine registration of free-form surfaces , 1996, International Journal of Computer Vision.
[4] G. Hochschild,et al. The Structure of Lie Groups. , 1967 .
[5] W. Kendall. Probability, Convexity, and Harmonic Maps with Small Image I: Uniqueness and Fine Existence , 1990 .
[6] Yehezkel Lamdan,et al. Geometric Hashing: A General And Efficient Model-based Recognition Scheme , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[7] Olivier D. Faugeras,et al. HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Nicholas Ayache,et al. A General Scheme for Automatically Building 3D Morphometric Anatomical Atlases: application to a Sku , 1995 .
[9] H. Karcher. Riemannian center of mass and mollifier smoothing , 1977 .
[10] W. Eric L. Grimson,et al. A study of affine matching with bounded sensor error , 1992, International Journal of Computer Vision.
[11] Jean-Philippe Thirion,et al. Multiscale Representation and Analysis of Features from Medical Images , 1995, CVRMed.
[12] Xavier Pennec. L'incertitude dans les problèmes de reconnaissance et de recalage - Applications en imagerie médicale et biologie moléculaire , 1996 .
[13] Robert A. Hummel,et al. Distributed Bayesian object recognition , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[14] Paul J. Besl,et al. A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[15] William Grimson,et al. Object recognition by computer - the role of geometric constraints , 1991 .
[16] Olivier Faugeras,et al. 3D Dynamic Scene Analysis: A Stereo Based Approach , 1992 .
[17] Hugh Durrant-Whyte,et al. Integration, coordination, and control of multi-sensor robot systems , 1987 .
[18] Nicholas Ayache,et al. Artificial vision for mobile robots - stereo vision and multisensory perception , 1991 .
[19] Xavier Pennec,et al. A Framework for Uncertainty and Validation of 3-D Registration Methods Based on Points and Frames , 2004, International Journal of Computer Vision.
[20] Zhengyou Zhang,et al. Iterative point matching for registration of free-form curves and surfaces , 1994, International Journal of Computer Vision.
[21] Jean-Philippe Thirion,et al. New feature points based on geometric invariants for 3D image registration , 1996, International Journal of Computer Vision.
[22] Olivier Faugeras,et al. Three D-Dynamic Scene Analysis: A Stereo Based Approach , 1992 .
[23] Nicholas Ayache,et al. An 0(n2) algorithm for 3D substructure matching of proteins , 1994 .
[24] H. S. M. Coxeter. The Erlangen Program , 1977 .
[25] Yehezkel Lamdan,et al. On the error analysis of 'geometric hashing' , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[26] F. e.. Calcul des Probabilités , 1889, Nature.
[27] S. Altmann. Rotations, Quaternions, and Double Groups , 1986 .
[28] M. Fréchet. Les éléments aléatoires de nature quelconque dans un espace distancié , 1948 .
[29] W. Eric L. Grimson,et al. On the sensitivity of geometric hashing , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[30] Xavier Pennec,et al. A Framework for Uncertainty and Validation of 3-D Registration Methods Based on Points and Frames , 1995, Proceedings of IEEE International Conference on Computer Vision.