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检索条件"任意字段=1st International Conference on Scale Space and Variational Methods in Computer Vision"
139 条 记 录,以下是101-110 订阅
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variational method for computing average images of biological organs
Variational method for computing average images of biologica...
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4th international conference on scale space and variational methods in computer vision, SSVM 2013
作者: Inagaki, Shun Imiya, Atsushi Hontani, Hidekata Hanaoka, Shouhei Masutani, Yoshitaka Graduate School of Advanced Integration Science Chiba University 1-33 Yayoi-cho Inage-ku Chiba 263-8522 Japan Institute of Media and Information Technology Chiba University 1-33 Yayoi-cho Inage-ku Chiba 263-8522 Japan Department of Computer Science Nagoya Institute of Technology Gokiso Showa-ku Nagoya Aichi 466-8555 Japan Department of Radiology University of Tokyo Hospital University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-8655 Japan
In this paper, we develop a variational method for the computation of average images of biological organs in three-dimensional Euclidean space. The average of three-dimensional biological organs is an essential featur... 详细信息
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A mathematically justified algorithm for shape from texture
A mathematically justified algorithm for shape from texture
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4th international conference on scale space and variational methods in computer vision, SSVM 2013
作者: Rhodin, Helge Breuß, Michael Graphics Vision and Video Group Max-Planck-Institut für Informatik Campus E1 4 66123 Saarbruecken Germany Applied Mathematics and Computer Vision Group BTU Cottbus Institute for Applied Mathematics and Scientific Computing Platz der Deutschen Einheit 1 03046 Cottbus Germany
In this paper we propose a new continuous Shape from Texture (SfT) model for piecewise planar surfaces. It is based on the assumptions of texture homogeneity and perspective camera projection. We show that in this set... 详细信息
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A L1-TV algorithm for robust perspective photometric stereo with spatially-varying lightings  5
A L1-TV algorithm for robust perspective photometric stereo ...
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5th international conference on scale space and variational methods in computer vision, SSVM 2015
作者: Quéau, Yvain Lauze, François Durou, Jean-Denis IRIT UMR CNRS Toulouse5505 France Department of Computer Science University of Copenhagen Copenhagen Denmark
We tackle the problem of perspective 3D-reconstruction of Lambertian surfaces through photometric stereo, in the presence of outliers to Lambert’s law, depth discontinuities, and unknown spatiallyvarying lightings. T... 详细信息
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The morphological equivalents of relativistic and alpha-scale-spaces  5
The morphological equivalents of relativistic and alpha-scal...
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5th international conference on scale space and variational methods in computer vision, SSVM 2015
作者: Schmidt, Martin Weickert, Joachim Mathematical Image Analysis Group Saarland University Campus E1.7 Saarbrücken66041 Germany
The relations between linear system theory and mathematical morphology are mainly understood on a pure convolution/dilation level. A formal connection on the level of differential or pseudo-differential equations is s... 详细信息
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Edge-preserving integration of a normal field: Weighted least-squares, TV and L1 approaches  5
Edge-preserving integration of a normal field: Weighted leas...
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5th international conference on scale space and variational methods in computer vision, SSVM 2015
作者: Quéau, Yvain Durou, Jean-Denis IRIT UMR CNRS 5505 Université de Toulouse Toulouse France
We introduce several new functionals, inspired from variational image denoising models, for recovering a piecewise-smooth surface from a dense estimation of its normal field (Sample codes for testing the proposed meth... 详细信息
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Outlier removal power of the L1-norm super-resolution
Outlier removal power of the L1-norm super-resolution
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4th international conference on scale space and variational methods in computer vision, SSVM 2013
作者: Traonmilin, Yann Ladjal, Saïd Almansa, Andrés Telecom Paristech LTCI France
Super-resolution combines several low resolution images having different sampling into a high resolution image. L1-norm data fit minimization has been proposed to solve this problem in a robust way. The outlier reject... 详细信息
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CycleGANs for Semi-Supervised Defects Segmentation  1
CycleGANs for Semi-Supervised Defects Segmentation
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1st international conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2020
作者: Ai, Jiangshan Chen, Sihua Deng, Peng Bai, Libing Tian, Lulu Zhang, Jie University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China Shanghai Space Propulsion Technology Research Institute Shanghai China
At present, many vision-based inspection methods are widely using for quality control in different fields. And the deep learning method has made a magnificent breakthrough in a variety of computer vision tasks, mainly... 详细信息
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Defect classification on specular surfaces using wavelets
Defect classification on specular surfaces using wavelets
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4th international conference on scale space and variational methods in computer vision, SSVM 2013
作者: Hahn, Andreas Ziebarth, Mathias Heizmann, Michael Rieder, Andreas Karlsruhe Institute of Technology Institute for Applied and Numerical Mathematics Kaiserstr. 89-93 76133 Karlsruhe Germany Karlsruhe Institute of Technology Institute for Anthropomatics Adenauerring 4 76131 Karlsruhe Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation Fraunhoferstr. 1 76131 Karlsruhe Germany
In many practical problems wavelet theory offers methods to handle data in different scales. It is highly adaptable to represent data in a compact and sparse way without loss of information. We present an approach to ... 详细信息
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Equivariant Deep Learning via Morphological and Linear scale space PDEs on the space of Positions and Orientations  8th
Equivariant Deep Learning via Morphological and Linear Scale...
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8th international conference on scale space and variational methods in computer vision, SSVM 2021
作者: Duits, Remco Smets, Bart Bekkers, Erik Portegies, Jim Department Mathematics and Computer Science TU/e Eindhoven Netherlands Informatics Institute UvA Amsterdam Netherlands
We present PDE-based Group Convolutional Neural Networks (PDE-G-CNNs) that generalize Group equivariant Convolutional Neural Networks (G-CNNs). In PDE-G-CNNs a network layer is a set of PDE-solvers where geometrically... 详细信息
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scale-space theory for auditory signals  5
Scale-space theory for auditory signals
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5th international conference on scale space and variational methods in computer vision, SSVM 2015
作者: Lindeberg, Tony Friberg, Anders Department of Computational Biology School of Computer Science and Communication KTH Royal Institute of Technology Stockholm Sweden Department of Speech Music and Hearing School of Computer Science and Communication KTH Royal Institute of Technology Stockholm Sweden
We show how the axiomatic structure of scale-space theory can be applied to the auditory domain and be used for deriving idealized models of auditory receptive fields via scale-space principles. For defining a time-fr... 详细信息
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