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Documents  Lyche, Tom | enregistrements trouvés : 10

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Research talks;Analysis and its Applications;Computer Science

The alternating direction method of multipliers (ADMM) is an optimization tool of choice for several imaging inverse problems, namely due its flexibility, modularity, and efficiency. In this talk, I will begin by reviewing our earlier work on using ADMM to deal with classical problems such as deconvolution, inpainting, compressive imaging, and how we have exploited its flexibility to deal with different noise models, including Gaussian, Poissonian, and multiplicative, and with several types of regularizers (TV, frame-based analysis, synthesis, or combinations thereof). I will then describe more recent work on using ADMM for other problems, namely blind deconvolution and image segmentation, as well as very recent work where ADMM is used with plug-in learned denoisers to achieve state-of-the-art results in class-specific image deconvolution. Finally, on the theoretical front, I will describe very recent work on tackling the infamous problem of how to adjust the penalty parameter of ADMM. The alternating direction method of multipliers (ADMM) is an optimization tool of choice for several imaging inverse problems, namely due its flexibility, modularity, and efficiency. In this talk, I will begin by reviewing our earlier work on using ADMM to deal with classical problems such as deconvolution, inpainting, compressive imaging, and how we have exploited its flexibility to deal with different noise models, including Gaussian, ...

65J22 ; 65K10 ; 65T60 ; 94A08

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- x; 748 p.
ISBN 978-3-642-27412-1

Lecture notes in computer science , 6920

Localisation : Collection 1er étage

analyse numérique # CAO # analyse d'image # géométrie

65-06 ; 65D17 ; 65D18 ; 00B25

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- ix; 283 p.
ISBN 978-0-9728482-7-5

Modern methods in mathematics

Localisation : Colloque 1er étage (AVIG)

65-06 ; 00B25

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- xi; 416 p.
ISBN 978-0-9728482-0-6

Modern methods in mathematics

Localisation : Colloque 1er étage (SAIN)

point de base # polynôme de Bernstein # interpolation # cycloïde # flux # interpolation d'Hermite # combinaison de Minkowski # spline # simulation en temps-réel # résultants de Sylvester # image médicale en 3D

00B25 ; 65-06 ; 53-06

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Special events;Hommage à Claude Shannon;Computer Science;Mathematics Education and Popularization of Mathematics;History of Mathematics

A l'occasion du centenaire de la naissance de Claude Shannon, la SMF, la SMAI et le CIRM organisent, à l'issue de la conférence SIGMA, une après-midi d'exposés grand public autour de l'oeuvre scientifique de Claude Shannon, de la théorie de l'information et de ses applications.

94-XX ; 68Qxx ; 00A06

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Special events;Hommage à Claude Shannon;Computer Science;Mathematics Education and Popularization of Mathematics;History of Mathematics

A l'occasion du centenaire de la naissance de Claude Shannon, la SMF, la SMAI et le CIRM organisent, à l'issue de la conférence SIGMA, une après-midi d'exposés grand public autour de l'oeuvre scientifique de Claude Shannon, de la théorie de l'information et de ses applications.

94-XX ; 68Qxx ; 00A06

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Special events;Hommage à Claude Shannon;Computer Science;Mathematics Education and Popularization of Mathematics;History of Mathematics

A l'occasion du centenaire de la naissance de Claude Shannon, la SMF, la SMAI et le CIRM organisent, à l'issue de la conférence SIGMA, une après-midi d'exposés grand public autour de l'oeuvre scientifique de Claude Shannon, de la théorie de l'information et de ses applications.

94-XX ; 68Qxx ; 00A06

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Special events;Hommage à Claude Shannon;Computer Science;Mathematics Education and Popularization of Mathematics;History of Mathematics

A l'occasion du centenaire de la naissance de Claude Shannon, la SMF, la SMAI et le CIRM organisent, à l'issue de la conférence SIGMA, une après-midi d'exposés grand public autour de l'oeuvre scientifique de Claude Shannon, de la théorie de l'information et de ses applications.

94-XX ; 00A06 ; 68Qxx

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Research talks;Analysis and its Applications;Computer Science;Geometry

Large image and 3D model repositories of everyday objects are now ubiquitous and are increasingly being used in computer graphics and computer vision, both for analysis and synthesis. However, images of objects in the real world have a richness of appearance that these repositories do not capture, largely because most existing 3D models are untextured. In this work we develop an automated pipeline capable of linking the two collections, and transporting texture information from images of real objects to 3D models of similar objects. This is a challenging problem, as an object's texture as seen in a photograph is distorted by many factors, including pose, geometry, and illumination. These geometric and photometric distortions must be undone in order to transfer the pure underlying texture to a new object ? the 3D model. Instead of using problematic dense correspondences, we factorize the problem into the reconstruction of a set of base textures (materials) and an illumination model for the object in the image. By exploiting the geometry of the similar 3D model, we reconstruct certain reliable texture regions and correct for the illumination, from which a full texture map can be recovered and applied to the model. Our method allows for large-scale unsupervised production of richly textured 3D models directly from image data, providing high quality virtual objects for 3D scene design or photo editing applications, as well as a wealth of data for training machine learning algorithms for various inference tasks in graphics and vision. For more details, please visit: geometry.cs.ucl.ac.uk. Large image and 3D model repositories of everyday objects are now ubiquitous and are increasingly being used in computer graphics and computer vision, both for analysis and synthesis. However, images of objects in the real world have a richness of appearance that these repositories do not capture, largely because most existing 3D models are untextured. In this work we develop an automated pipeline capable of linking the two collections, and ...

68U10 ; 65D18

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- xii; 372 p.
ISBN 978-3-662-43510-6

Problem books in mathematics

Localisation : Ouvrage RdC (LYCH)

MATLAB # traitement automatique des données # calcul numérique # analyse numérique # algèbre linéaire # théorie de la matrice S # valeur propre # vecteur propre # méthode itérative # interpolation polynômiale # courbe de Bézier # polynôme de Bernstein # méthode des moindres carrés

65Dxx ; 65Fxx ; 65Hxx ; 65Lxx ; 68Wxx ; 65-01 ; 00A07 ; 65Y15 ; 65D05 ; 65D17 ; 65D32 ; 65L05 ; 65L12 ; 65M06 ; 65N06

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