Deep Structure, Singularities, and Computer Vision

[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.