Publications
262 results found
Bronstein AM, Bronstein MM, Kimmel R, 2008, Numerical Geometry of Non-Rigid Shapes, Publisher: SPRINGER, ISBN: 978-0-387-73300-5
Bronstein AM, Bronstein MM, 2008, Not only size matters: regularized partial matching of nonrigid shapes, IEEE Conference on Computer Vision and Pattern Recognition, Publisher: IEEE, Pages: 947-952, ISSN: 1063-6919
Bronstein AM, Bronstein MM, Kimmel R, 2007, Calculus of nonrigid surfaces for geometry and texture manipulation, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, Vol: 13, Pages: 902-913, ISSN: 1077-2626
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- Citations: 58
Mukherjee S, Abd-El-Latif M, Bronstein M, et al., 2007, High cooperativity of the SV40 major capsid protein VP1 in virus assembly., PLoS One, Vol: 2
SV40 is a small, non enveloped DNA virus with an icosahedral capsid of 45 nm. The outer shell is composed of pentamers of the major capsid protein, VP1, linked via their flexible carboxy-terminal arms. Its morphogenesis occurs by assembly of capsomers around the viral minichromosome. However the steps leading to the formation of mature virus are poorly understood. Intermediates of the assembly reaction could not be isolated from cells infected with wt SV40. Here we have used recombinant VP1 produced in insect cells for in vitro assembly studies around supercoiled heterologous plasmid DNA carrying a reporter gene. This strategy yields infective nanoparticles, affording a simple quantitative transduction assay. We show that VP1 assembles under physiological conditions into uniform nanoparticles of the same shape, size and CsCl density as the wild type virus. The stoichiometry is one DNA molecule per capsid. VP1 deleted in the C-arm, which is unable to assemble but can bind DNA, was inactive indicating genuine assembly rather than non-specific DNA-binding. The reaction requires host enzymatic activities, consistent with the participation of chaperones, as recently shown. Our results demonstrate dramatic cooperativity of VP1, with a Hill coefficient of approximately 6. These findings suggest that assembly may be a concerted reaction. We propose that concerted assembly is facilitated by simultaneous binding of multiple capsomers to a single DNA molecule, as we have recently reported, thus increasing their local concentration. Emerging principles of SV40 assembly may help understanding assembly of other complex systems. In addition, the SV40-based nanoparticles described here are potential gene therapy vectors that combine efficient gene delivery with safety and flexibility.
Bronstein AM, Bronstein MM, Kimmel R, 2007, Weighted distance maps computation on parametric three-dimensional manifolds, JOURNAL OF COMPUTATIONAL PHYSICS, Vol: 225, Pages: 771-784, ISSN: 0021-9991
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- Citations: 19
Bronstein AM, Bronstein MM, Kimmel R, 2007, Expression-invariant representations of faces, IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol: 16, Pages: 188-197, ISSN: 1057-7149
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- Citations: 95
Bronstein AM, Bronstein MM, Kimmel R, 2007, Rock, paper, and scissors: extrinsic vs. intrinsic similarity of non-rigid shapes, 11th IEEE International Conference on Computer Vision, Publisher: IEEE, Pages: 1941-1946, ISSN: 1550-5499
Bronstein AM, Bronstein MM, Bruckstein AM, et al., 2007, Paretian similarity for partial comparison of non-rigid objects, 1st International Conference on Scale Space and Variational Methods in Computer Vision, Publisher: SPRINGER-VERLAG BERLIN, Pages: 264-+, ISSN: 0302-9743
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- Citations: 3
Bronstein AM, Bronstein MM, Kimmel R, 2007, Story of Cinderella - Biometrics and isometry-invariant distances, Workshop on Advanced 3D Imaging for Safety and Security held in Conjunction with the International Conference on Computer Vision and Pattern Recognition, Publisher: SPRINGER, Pages: 119-+
Raviv D, Bronstein AM, Bronstein MM, et al., 2007, Symmetries of non-rigid shapes, 11th IEEE International Conference on Computer Vision, Publisher: IEEE, Pages: 2746-2752, ISSN: 1550-5499
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- Citations: 8
Bronstein MM, Bronstein AM, Kimmel R, et al., 2006, Multigrid multidimensional scaling, 12th Copper Mountain Conference on Multigrid Methods, Publisher: WILEY, Pages: 149-171, ISSN: 1070-5325
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- Citations: 61
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
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- Citations: 328
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
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- Citations: 6
Bronstein AM, Bronstein MM, Bruckstein AM, et 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
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- Citations: 8
Rosman G, Bronstein AM, Bronstein MM, et 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
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
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- Citations: 1
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
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- Citations: 136
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
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- Citations: 37
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.
Bronstein AM, Bronstein MM, Zibulevsky M, et 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.
Bronstein AM, Bronstein MM, Kimmel R, 2005, Three-dimensional face recognition, INTERNATIONAL JOURNAL OF COMPUTER VISION, Vol: 64, Pages: 5-30, ISSN: 0920-5691
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- Citations: 258
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.
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
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- Citations: 2
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
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- Citations: 10
Bronstein MM, Bronstein AM, Zibulevsky M, et al., 2005, Blind deconvolution of images using optimal sparse representations, IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol: 14, Pages: 726-736, ISSN: 1057-7149
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- Citations: 62
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.
Bronstein AM, Bronstein MM, Zibulevsky M, et al., 2005, "Unmixing" tissues: Sparse component analysis in multi-contrast MRI, Pages: 1279-1282, 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.
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
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- Citations: 1
Bronstein AM, Bronstein MM, Kimmel R, 2005, Isometric embedding of facial surfaces into S<SUP>3</SUP>, 5th International Conference on Scale-Space and PDE Methods in Computer Vision, Publisher: SPRINGER-VERLAG BERLIN, Pages: 622-631, ISSN: 0302-9743
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- Citations: 10
Bronstein AM, Bronstein MM, Zibulevsky M, et 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
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- Citations: 72
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