Deep Structure, Singularities, and Computer Vision
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Jon Sporring | Peter Johansen | Kerawit Somchaipeng | Sven Kreiborg | P. Johansen | J. Sporring | S. Kreiborg | K. Somchaipeng
[1] Laurent D. Cohen,et al. The Extrema Edges , 2003, Scale-Space.
[2] Luc Florack,et al. Using multiscale top points in image matching , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..
[3] Andy Harter,et al. Parameterisation of a stochastic model for human face identification , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.
[4] Sven Kreiborg,et al. Multi-scale Singularity Trees: Soft-Linked Scale-Space Hierarchies , 2005, Scale-Space.
[5] Ron Kimmel,et al. From High Energy Physics to Low Level Vision , 1997, Scale-Space.
[6] Atsushi Imiya,et al. On the History of Gaussian Scale-Space Axiomatics , 1997, Gaussian Scale-Space Theory.
[7] Sven Kreiborg,et al. Transitions of Multi-scale Singularity Trees , 2005, DSSCV.
[8] J. Damon. Local Morse Theory for Solutions to the Heat Equation and Gaussian Blurring , 1995 .
[9] J. Koenderink. The structure of images , 2004, Biological Cybernetics.
[10] Stephen M. Pizer,et al. A Multiresolution Hierarchical Approach to Image Segmentation Based on Intensity Extrema , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Mads Nielsen,et al. Multiscale Gradient Magnitude Watershed Segmentation , 1997, ICIAP.
[12] Sameer A. Nene,et al. Columbia Object Image Library (COIL100) , 1996 .
[13] James Damon,et al. Local Morse Theory for Gaussian Blurred Functions , 1997, Gaussian Scale-Space Theory.
[14] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[15] J. A. Sethian,et al. Fast Marching Methods , 1999, SIAM Rev..
[16] Luc Florack,et al. Multiscale hierarchical segmentation , 2003 .
[17] Bram van Ginneken,et al. Applications of Locally Orderless Images , 1999, J. Vis. Commun. Image Represent..
[18] Bjarne Stroustrup,et al. C++ Programming Language , 1986, IEEE Softw..
[19] Tony Lindeberg,et al. Scale-Space Theory in Computer Vision , 1993, Lecture Notes in Computer Science.
[20] Bart M. ter Haar Romeny,et al. Content based image retrieval using multiscale top points a feasibility study , 2003 .
[21] Leonidas J. Guibas,et al. The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.
[22] William E. Lorensen,et al. Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.
[23] Peter Johansen,et al. Gaussian Scale-Space Theory , 1997, Computational Imaging and Vision.
[24] Luc Florack,et al. Stability of Top-Points in Scale Space , 2005, Scale-Space.
[25] Steven G. Johnson,et al. FFTW: an adaptive software architecture for the FFT , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[26] David G. Lowe,et al. Shape indexing using approximate nearest-neighbour search in high-dimensional spaces , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[27] Forrest W. Young. Multidimensional Scaling: History, Theory, and Applications , 1987 .
[28] Lucas J. van Vliet,et al. Recursive Gaussian derivative filters , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).
[29] Arjan Kuijper,et al. The deep structure of Gaussian scale space images , 2002 .
[30] Joachim Weickert,et al. Parallel implementations of AOS schemes: a fast way of nonlinear diffusion filtering , 1997, Proceedings of International Conference on Image Processing.