咨询与建议

限定检索结果

文献类型

  • 41 篇 会议
  • 11 篇 期刊文献
  • 1 册 图书

馆藏范围

  • 53 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 33 篇 工学
    • 24 篇 计算机科学与技术...
    • 7 篇 仪器科学与技术
    • 2 篇 光学工程
    • 2 篇 电子科学与技术(可...
    • 1 篇 机械工程
    • 1 篇 电气工程
    • 1 篇 软件工程
  • 22 篇 理学
    • 15 篇 数学
    • 6 篇 系统科学
    • 3 篇 物理学
    • 2 篇 统计学(可授理学、...
  • 1 篇 法学
    • 1 篇 社会学
  • 1 篇 医学
    • 1 篇 临床医学

主题

  • 12 篇 active contours
  • 11 篇 image segmentati...
  • 10 篇 level set
  • 8 篇 shape
  • 7 篇 computer vision
  • 6 篇 image processing
  • 6 篇 equations
  • 5 篇 partial differen...
  • 4 篇 segmentation
  • 4 篇 magnetic resonan...
  • 4 篇 image restoratio...
  • 4 篇 computer graphic...
  • 4 篇 topology
  • 4 篇 mathematics
  • 4 篇 smoothing method...
  • 4 篇 biomedical imagi...
  • 3 篇 computer science
  • 3 篇 noise reduction
  • 3 篇 image matching
  • 3 篇 variational meth...

机构

  • 2 篇 inria sophia-ant...
  • 2 篇 univ mannheim de...
  • 2 篇 department of ma...
  • 1 篇 department of ap...
  • 1 篇 coordinated scie...
  • 1 篇 univ florida dep...
  • 1 篇 ceremade umr cnr...
  • 1 篇 univ nice cnrs u...
  • 1 篇 artificial intel...
  • 1 篇 yale univ dept e...
  • 1 篇 department of si...
  • 1 篇 division of card...
  • 1 篇 univ minnesota m...
  • 1 篇 inria sophia ant...
  • 1 篇 i.n.r.i.a 2004 r...
  • 1 篇 department ofmat...
  • 1 篇 department of ma...
  • 1 篇 inria projet epi...
  • 1 篇 washington unive...
  • 1 篇 univ paris 09 ce...

作者

  • 2 篇 s. osher
  • 2 篇 schnörr c
  • 2 篇 paragios n
  • 2 篇 vese la
  • 2 篇 weickert j
  • 2 篇 chan tf
  • 2 篇 cremers d
  • 2 篇 osher s
  • 1 篇 r. kimmel
  • 1 篇 christoph schnör...
  • 1 篇 p. moulin
  • 1 篇 g. hermosillo
  • 1 篇 faugeras o
  • 1 篇 fedkiw r
  • 1 篇 m. rao
  • 1 篇 ye jong chul
  • 1 篇 ardon roberto
  • 1 篇 e.a. geiser
  • 1 篇 chenyang xu
  • 1 篇 wilson d

语言

  • 53 篇 英文
检索条件"任意字段=IEEE Workshop on Variational and Level Set Methods in Computer Vision, VLSM 2001"
53 条 记 录,以下是1-10 订阅
Stochastic motion and the level set method in computer vision:: Stochastic active contours
收藏 引用
INTERNATIONAL JOURNAL OF computer vision 2006年 第1期69卷 7-25页
作者: Juan, Olivier Keriven, Renaud Postelnicu, Gheorghe ENPC CERTIS ENS Odyssee LabINRIA Sophia F-77455 Marne La Vallee France
Based on recent work on Stochastic Partial Differential Equations (SPDEs), this paper presents a simple and well-founded method to implement the stochastic evolution of a curve. First. we explain why great care should... 详细信息
来源: 评论
A variational model for P+XS image fusion
收藏 引用
INTERNATIONAL JOURNAL OF computer vision 2006年 第1期69卷 43-58页
作者: Ballester, Coloma Caselles, Vicent Igual, Laura Verdera, Joan Rougé, Bernard Univ Pompeu Fabra Dept Tecnol Barcelona 08003 Spain CNES F-31401 Toulouse France
We propose an algorithm to increase the resolution of multispectral satellite images knowing the panchromatic image at high resolution and the spectral channels at lower resolution. Our algorithm is based on the assum... 详细信息
来源: 评论
Fast constrained surface extraction by minimal paths
收藏 引用
INTERNATIONAL JOURNAL OF computer vision 2006年 第1期69卷 127-136页
作者: Ardon, Roberto Cohen, Laurent D. Philips France MEDYSIS F-92120 Suresnes France Univ Paris 09 CEREMADE UMR 7534 F-75775 Paris 16 France
In this paper we consider a new approach for single object segmentation in 3D images. Our method improves the classical geodesic active surface model. It greatly simplifies the model initialization and naturally avoid... 详细信息
来源: 评论
Curvature-driven PDE methods for matrix-valued images
收藏 引用
INTERNATIONAL JOURNAL OF computer vision 2006年 第1期69卷 93-107页
作者: Feddern, Christian Weickert, Joachim Burgeth, Bernhard Welk, Martin Univ Saarland Math Image Anal Grp Fac Math & Comp Sci D-66041 Saarbrucken Germany
Matrix-valued data sets arise in a number of applications including diffusion tensor magnetic resonance imaging (DT-MRI) and physical measurements of anisotropic behaviour. Consequently. there arises the need to filte... 详细信息
来源: 评论
Proceedings - ieee workshop on variational and level set methods in computer vision, vlsm 2001
Proceedings - IEEE Workshop on Variational and Level Set Met...
收藏 引用
ieee workshop on variational and level set methods in computer vision, vlsm 2001
The proceedings contain 24 papers. The topics discussed include: a variational approach to multi-modal image matching;optimal mass transport and image registration;on smoothness measures of active contours and surface...
来源: 评论
Proceedings ieee workshop on variational and level set methods in computer vision
Proceedings IEEE Workshop on Variational and Level Set Metho...
收藏 引用
ieee workshop on variational and level set methods in computer vision
来源: 评论
A variational approach for the segmentation of the left ventricle in cardiac image analysis
收藏 引用
INTERNATIONAL JOURNAL OF computer vision 2002年 第3期50卷 345-362页
作者: Paragios, N Siemens Corp Res Real Time Vis & Modeling Dept Princeton NJ 08540 USA
In this paper we propose a level set method to segment MR cardiac images. Our approach is based on a coupled propagation of two cardiac contours and integrates visual information with anatomical constraints. The visua... 详细信息
来源: 评论
Diffusion snakes:: Introducing statistical shape knowledge into the Mumford-Shah functional
收藏 引用
INTERNATIONAL JOURNAL OF computer vision 2002年 第3期50卷 295-313页
作者: Cremers, D Tischhäuser, F Weickert, J Schnörr, C Univ Mannheim Dept Math & Comp Sci Comp Vis Graph & Pattern Recognit Grp D-68131 Mannheim Germany
We present a modification of the Mumford-Shah functional and its cartoon limit which facilitates the incorporation of a statistical prior on the shape of the segmenting contour. By minimizing a single energy functiona... 详细信息
来源: 评论
A multiphase level set framework for image segmentation using the Mumford and Shah model
收藏 引用
INTERNATIONAL JOURNAL OF computer vision 2002年 第3期50卷 271-293页
作者: Vese, LA Chan, TF Univ Calif Los Angeles Dept Math Los Angeles CA 90024 USA
We propose a new multiphase level set framework for image segmentation using the Mumford and Shah model, for piecewise constant and piecewise smooth optimal approximations. The proposed method is also a generalization... 详细信息
来源: 评论
variational methods for multimodal image matching
收藏 引用
INTERNATIONAL JOURNAL OF computer vision 2002年 第3期50卷 329-343页
作者: Hermosillo, G Chefd'Hotel, C Faugeras, O INRIA Sophia Antipolis Odyssee Lab Sophia Antipolis France
Matching images of different modalities can be achieved by the maximization of suitable statistical similarity measures within a given class of geometric transformations. Handling complex, nonrigid deformations in thi... 详细信息
来源: 评论