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检索条件"任意字段=4th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2013"
81 条 记 录,以下是31-40 订阅
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Corner Detection Using the Affine Morphological scale space  6th
Corner Detection Using the Affine Morphological Scale Space
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Alvarez, Luis Univ Las Palmas Gran Canaria Dept Informat & Sistemas Campus Tafira Las Palmas Gran Canaria 35017 Spain
We introduce a method for corner estimation based on the affine morphological scale space (AMSS). Using some explicit known formula about corner evolution across AMSS, proven by Alvarez and Morales in 1997, we define ... 详细信息
来源: 评论
Time Discrete Extrapolation in a Riemannian space of Images  6th
Time Discrete Extrapolation in a Riemannian Space of Images
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Effland, Alexander Rumpf, Martin Schaefer, Florian Univ Bonn Inst Numer Simulat Bonn Germany CALTECH Pasadena CA 91125 USA
the Riemannian metamorphosis model introduced and analyzed in [7,12] is taken into account to develop an image extrapolation tool in the space of images. To this end, the variational time discretization for the geodes... 详细信息
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A Unified Framework for the Restoration of Images Corrupted by Additive White Noise  6th
A Unified Framework for the Restoration of Images Corrupted ...
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Lanza, Alessandro Sciacchitano, Federica Morigi, Serena Sgallari, Fiorella Univ Bologna Dept Math Bologna Italy Univ Genoa Dept Math Genoa Italy
We propose a robust variational model for the restoration of images corrupted by blur and the general class of additive white noises. the solution of the non-trivial optimization problem, due to the non-smooth non-con... 详细信息
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Beyond Multi-view Stereo: Shading-Reflectance Decomposition  6th
Beyond Multi-view Stereo: Shading-Reflectance Decomposition
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Melou, Jean Queau, Yvain Durou, Jean-Denis Castan, Fabien Cremers, Daniel Univ Toulouse UMR CNRS 5505 IRIT Toulouse France Tech Univ Munich Dept Informat Munich Germany Mikros Image Levallois Perret France
We introduce a variational framework for separating shading and reflectance from a series of images acquired under different angles, when the geometry has already been estimated by multi-view stereo. Our formulation u... 详细信息
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An Optimal Transport-Based Restoration Method for Q-Ball Imaging  6th
An Optimal Transport-Based Restoration Method for Q-Ball Ima...
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Vogt, thomas Lellmann, Jan Univ Lubeck Inst Math & Image Comp MIC Lubeck Germany
We propose a variational approach for edge-preserving total variation (TV)-based regularization of Q-ball data from high angular resolution diffusion imaging (HARDI). While total variation is among the most popular re... 详细信息
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Adaptive Discretizations for Non-smooth variational vision  6th
Adaptive Discretizations for Non-smooth Variational Vision
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Estellers, Virginia Soatto, Stefano Univ Calif Los Angeles Vis Lab Los Angeles CA 90095 USA
variational problems in vision are solved numerically on the pixel lattice because it provides the simplest computational grid to discretize the input images, even though a uniform grid seldom matches the complexity o... 详细信息
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Directional Total Generalized Variation Regularization for Impulse Noise Removal  6th
Directional Total Generalized Variation Regularization for I...
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Kongskov, Rasmus Dalgas Dong, Yiqiu Tech Univ Denmark Appl Math & Comp Sci Lyngby Denmark
A recently suggested regularization method, which combines directional information with total generalized variation (TGV), has been shown to be successful for restoring Gaussian noise corrupted images. We extend the u... 详细信息
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A Unified Hyperelastic Joint Segmentation/Registration Model Based on Weighted Total Variation and Nonlocal Shape Descriptors  6th
A Unified Hyperelastic Joint Segmentation/Registration Model...
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Debroux, Noemie Le Guyader, Carole Normandie Univ INSA Rouen Lab Math 685 Ave Univ F-76801 St Etienne Du Rouvray France
In this paper, we address the issue of designing a unified variational model for joint segmentation and registration in which the shapes to be matched are viewed as hyperelastic materials, and more precisely, as Saint... 详细信息
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Optimal Transport for Manifold-Valued Images  6th
Optimal Transport for Manifold-Valued Images
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Fitschen, Jan Henrik Laus, Friederike Schmitzer, Bernhard Univ Kaiserslautern Dept Math Kaiserslautern Germany Univ Munster Inst Computat & Appl Math Munster Germany
We introduce optimal transport-type distances for manifold-valued images. To do so we lift the initial data to measures on the product space of image domain and signal space, where they can then be compared by optimal... 详细信息
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Dynamic Texture Recognition Using Time-Causal Spatio-Temporal scale-space Filters  6th
Dynamic Texture Recognition Using Time-Causal Spatio-Tempora...
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Jansson, Ylva Lindeberg, Tony KTH Royal Inst Technol Computat Brain Sci Lab Dept Computat Sci & Technol Sch Comp Sci & Commun Stockholm Sweden
this work presents an evaluation of using time-causal scale-space filters as primitives for video analysis. For this purpose, we present a new family of video descriptors based on regional statistics of spatio-tempora... 详细信息
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