Imperial College London

ProfessorMichaelBronstein

Faculty of EngineeringDepartment of Computing

Chair in Machine Learning and Pattern Recognition
 
 
 
//

Contact

 

m.bronstein Website

 
 
//

Location

 

569Huxley BuildingSouth Kensington Campus

//

Summary

 

Publications

Publication Type
Year
to

207 results found

Bronstein AM, Bronstein MM, Kimmel R, 2006, Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, Vol: 103, Pages: 1168-1172, ISSN: 0027-8424

Journal article

Bronstein AM, Bronstein MM, Kimmel R, 2006, Facetoface : An isometric model for facial animation, 4th International Conference on Articulated Motion and Deformable Objects, Publisher: SPRINGER-VERLAG BERLIN, Pages: 38-47, ISSN: 0302-9743

Conference paper

Bronstein AM, Bronstein MM, Bruckstein AM, Kimmel Ret al., 2006, Matching two-dimensional articulated shapes using generalized multidimensional scaling, 4th International Conference on Articulated Motion and Deformable Objects, Publisher: SPRINGER-VERLAG BERLIN, Pages: 48-57, ISSN: 0302-9743

Conference paper

Rosman G, Bronstein AM, Bronstein MM, Kimmel Ret al., 2006, Manifold Analysis by Topologically Constrained Isometric Embedding, Conference of the World-Academy-of-Science-Engineering-and-Technology, Publisher: WORLD ACAD SCI, ENG & TECH-WASET, Pages: 301-307, ISSN: 1307-6884

Conference paper

Bronstein AM, Bronstein MM, Zibulevsky M, 2006, On separation of semitransparent dynamic images from static background, 6th International Conference on Independent Component Analysis and Blind Signal Separation, Publisher: SPRINGER-VERLAG BERLIN, Pages: 934-940, ISSN: 0302-9743

Conference paper

Bronstein AM, Bronstein MM, Kimmel R, 2006, Efficient computation of isometry-invariant distances between surfaces, SIAM JOURNAL ON SCIENTIFIC COMPUTING, Vol: 28, Pages: 1812-1836, ISSN: 1064-8275

Journal article

Bronstein AM, Bronstein MM, Kimmel R, 2006, Robust expression-invariant face recognition from partially missing data, 9th European Conference on Computer Vision (ECCV 2006), Publisher: SPRINGER-VERLAG BERLIN, Pages: 396-408, ISSN: 0302-9743

Conference paper

Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YYet al., 2005, "Unmixing" tissues: Sparse component analysis in multi-contrast MRI, Pages: 1282-1285, ISSN: 1522-4880

We pose the problem of tissue classification in MRI as a Blind Source Separation (BSS) problem and solve it by means of Sparse Component Analysis (SCA). Assuming that most MR images can be sparsely represented, we consider their optimal sparse representation. Sparse components define a physically-meaningful feature space for classification. We demonstrate our approach on simulated and real multi-contrast MRI data. The proposed framework is general in that it is applicable to other modalities of medical imaging as well, whenever the linear mixing model is applicable. © 2005 IEEE.

Conference paper

Bronstein AM, Bronstein MM, Kimmel R, 2005, Expression-invariant face recognition via spherical embedding, Pages: 756-759, ISSN: 1522-4880

Recently, it was proven empirically that facial expressions can be modelled as isometries, that is, geodesic distances on the facial surface were shown to be significantly less sensitive to facial expressions compared to Euclidean ones. Based on this assumption, the 3DFACE face recognition system was built. The system efficiently computes expression invariant signatures based on isometry-invariant representation of the facial surface. One of the crucial steps in the recognition system was embedding of the face geometric structure into a Euclidean (flat) space. Here, we propose to replace the flat embedding by a spherical one to construct isometric invariant representations of the facial image. We refer to these new invariants as spherical canonical images. Compared to its Euclidean counterpart, spherical embedding leads to notably smaller metric distortion. We demonstrate experimentally that representations with lower embedding error lead to better recognition. In order to efficiently compute the invariants we introduce a dissimilarity measure between the spherical canonical images based on the spherical harmonic transform. © 2005 IEEE.

Conference paper

Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YYet al., 2005, Blind separation of tissues in multi-modal MRI using Sparse Component Analysis, Pages: 1822-1825

We pose the problem of tissue classification in MRI as a Blind Source Separation (BSS) problem and solve it by means of Sparse Component Analysis (SCA). Assuming that most MR images can be sparsely represented, we consider their optimal sparse representation. Sparse components define a physically-meaningful feature space for classification. We demonstrate our approach on simulated and real multi-contrast MRI data. The proposed framework is general in that it is applicable to other modalities of medical imaging as well, whenever the linear mixing model is applicable. © 2005 IEEE.

Conference paper

Bronstein AM, Bronstein MM, Kimmel R, 2005, Isometric embedding of facial surfaces into script S sign<sup>3</sup>, Pages: 622-631, ISSN: 0302-9743

The problem of isometry-invariant representation and comparison of surfaces is of cardinal importance in pattern recognition applications dealing with deformable objects. Particularly, in three-dimensional face recognition treating facial expressions as isometries of the facial surface allows to perform robust recognition insensitive to expressions. Isometry-invariant representation of surfaces can be constructed by isometrically embedding them into some convenient space, and carrying out the comparison in that space. Presented here is a discussion on isometric embedding into script S sign3, which appears to be superior over the previously used Euclidean space in sense of the representation accuracy. © Springer-Verlag Berlin Heidelberg 2005.

Conference paper

Bronstein AM, Bronstein MM, Kimmel R, 2005, Three-dimensional face recognition, INTERNATIONAL JOURNAL OF COMPUTER VISION, Vol: 64, Pages: 5-30, ISSN: 0920-5691

Journal article

Bronstein AM, Bronstein MM, Zibulevsky M, 2005, Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency, IEEE Transactions on Signal Processing, Vol: 53, Pages: 2576-2579, ISSN: 1053-587X

In this correspondence, we consider the problem of multi-input multi output (MIMO) quasi maximum likelihood (QML) blind deconvolution. We examine two classes of estimators, which are commonly believed to be suitable for super- and sub-Gaussian sources. We state the consistency conditions and demonstrate a source distribution, for which the studied estimators are unsuitable, in the sense that they are inconsistent. © 2005 IEEE.

Journal article

Bronstein AM, Bronstein MM, Zibulevsky M, 2005, Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-gaussianity versus consistency, IEEE TRANSACTIONS ON SIGNAL PROCESSING, Vol: 53, Pages: 2576-2579, ISSN: 1053-587X

Journal article

Bronstein AM, Bronstein MM, Zibulevsky M, 2005, Relative optimization for blind deconvolution, IEEE TRANSACTIONS ON SIGNAL PROCESSING, Vol: 53, Pages: 2018-2026, ISSN: 1053-587X

Journal article

Bronstein MM, Bronstein AM, Zibulevsky M, Zeevi YYet al., 2005, Blind deconvolution of images using optimal sparse representations, IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol: 14, Pages: 726-736, ISSN: 1057-7149

Journal article

Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YYet al., 2005, Sparse ICA for blind separation of transmitted and reflected images, INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, Vol: 15, Pages: 84-91, ISSN: 0899-9457

Journal article

Bronstein AM, Bronstein MM, Kimmel R, 2005, Isometric embedding of facial surfaces into S-3, 5th International Conference on Scale-Space and PDE Methods in Computer Vision, Publisher: SPRINGER-VERLAG BERLIN, Pages: 622-631, ISSN: 0302-9743

Conference paper

Bronstein AM, Bronstein MM, Kimmel R, 2005, Expression-invariant face recognition via spherical embedding, IEEE International Conference on Image Processing (ICIP 2005), Publisher: IEEE, Pages: 2641-2644, ISSN: 1522-4880

Conference paper

Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YYet al., 2005, "Unmixing" tissues: Sparse component analysis in multi-contrast MRI, IEEE International Conference on Image Processing (ICIP 2005), Publisher: IEEE, Pages: 2037-2040, ISSN: 1522-4880

Conference paper

Bronstein AM, Bronstein MM, Zibulevsky M, 2004, Blind source separation using block-coordinate relative Newton method, SIGNAL PROCESSING, Vol: 84, Pages: 1447-1459, ISSN: 0165-1684

Journal article

Bronstein AM, Bronstein MM, Zibulevsky M, 2004, Blind deconvolution using the relative Newton method, 5th International Conference on Independent Component Analysis and Blind Signal Separation (ICA), Publisher: SPRINGER-VERLAG BERLIN, Pages: 554-561, ISSN: 0302-9743

Conference paper

Bronstein AM, Zibulevsky M, Zeevi YY, Bronstein MMet al., 2004, Fast relative newton algorithm for blind deconvolution of images, International Conference on Image Processing (ICIP 2004), Publisher: IEEE, Pages: 1233-1236, ISSN: 1522-4880

Conference paper

Bronstein AM, Bronstein MM, Spira A, Kimmel Ret al., 2004, Face recognition from facial surface metric, 8th European Conference on Computer Vision, Publisher: SPRINGER-VERLAG BERLIN, Pages: 225-237, ISSN: 0302-9743

Conference paper

Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YYet al., 2004, QML blind deconvolution: Asymptotic analysis, 5th International Conference on Independent Component Analysis and Blind Signal Separation (ICA), Publisher: SPRINGER-VERLAG BERLIN, Pages: 677-684, ISSN: 0302-9743

Conference paper

Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YYet al., 2004, Quasi-maximum likelihood blind deconvolution of images acquired through scattering media, 2nd IEEE International Symposium on Biomedical Imaging, Publisher: IEEE, Pages: 352-355

Conference paper

Bronstein MM, Bronstein AM, Zibulevsky M, Zeevi YYet al., 2004, Optimal sparse representations for blind source separation and blind deconvolution: A learning approach, International Conference on Image Processing (ICIP 2004), Publisher: IEEE, Pages: 1815-1818, ISSN: 1522-4880

Conference paper

Bronstein AM, Bronstein MM, Gordon E, Kimmel Ret al., 2004, Fusion of 2D and 3D data in three-dimensional face recognition, International Conference on Image Processing (ICIP 2004), Publisher: IEEE, Pages: 87-90, ISSN: 1522-4880

Conference paper

Bronstein AM, Bronstein MM, Zibulevsky M, 2004, Blind source separation using the block-coordinate relative Newton method, 5th International Conference on Independent Component Analysis and Blind Signal Separation (ICA), Publisher: SPRINGER-VERLAG BERLIN, Pages: 406-413, ISSN: 0302-9743

Conference paper

Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YYet al., 2004, Optimal sparse representations for blind deconvolution of images, 5th International Conference on Independent Component Analysis and Blind Signal Separation (ICA), Publisher: SPRINGER-VERLAG BERLIN, Pages: 500-507, ISSN: 0302-9743

Conference paper

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: http://wlsprd.imperial.ac.uk:80/respub/WEB-INF/jsp/search-html.jsp Request URI: /respub/WEB-INF/jsp/search-html.jsp Query String: limit=30&id=00961504&person=true&page=6&respub-action=search.html