咨询与建议

限定检索结果

文献类型

  • 129 篇 会议
  • 18 篇 期刊文献
  • 2 册 图书

馆藏范围

  • 149 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 78 篇 工学
    • 56 篇 计算机科学与技术...
    • 18 篇 软件工程
    • 13 篇 电气工程
    • 12 篇 机械工程
    • 10 篇 仪器科学与技术
    • 7 篇 光学工程
    • 7 篇 控制科学与工程
    • 5 篇 电子科学与技术(可...
    • 3 篇 测绘科学与技术
    • 3 篇 生物医学工程(可授...
    • 2 篇 力学(可授工学、理...
    • 2 篇 动力工程及工程热...
    • 2 篇 建筑学
    • 2 篇 土木工程
    • 1 篇 信息与通信工程
    • 1 篇 化学工程与技术
    • 1 篇 生物工程
  • 44 篇 理学
    • 32 篇 数学
    • 14 篇 物理学
    • 6 篇 系统科学
    • 6 篇 统计学(可授理学、...
    • 3 篇 生物学
    • 1 篇 化学
    • 1 篇 地球物理学
  • 12 篇 医学
    • 12 篇 临床医学
    • 1 篇 基础医学(可授医学...
    • 1 篇 药学(可授医学、理...
  • 3 篇 管理学
    • 3 篇 图书情报与档案管...
  • 1 篇 法学
    • 1 篇 社会学

主题

  • 38 篇 image segmentati...
  • 36 篇 computer vision
  • 27 篇 level set
  • 15 篇 active contours
  • 14 篇 shape
  • 11 篇 training
  • 10 篇 biomedical imagi...
  • 9 篇 layout
  • 8 篇 computer science
  • 8 篇 object detection
  • 8 篇 image processing
  • 8 篇 feature extracti...
  • 8 篇 bayesian methods
  • 8 篇 equations
  • 8 篇 image reconstruc...
  • 7 篇 topology
  • 7 篇 smoothing method...
  • 6 篇 deformable model...
  • 6 篇 application soft...
  • 6 篇 cameras

机构

  • 3 篇 applied mathemat...
  • 2 篇 department of el...
  • 2 篇 department of ci...
  • 2 篇 department of ma...
  • 2 篇 inria sophia-ant...
  • 2 篇 univ calif los a...
  • 2 篇 department of di...
  • 2 篇 univ mannheim de...
  • 2 篇 department of ma...
  • 1 篇 tno phys & elect...
  • 1 篇 university of sc...
  • 1 篇 department of ap...
  • 1 篇 key laboratory o...
  • 1 篇 coordinated scie...
  • 1 篇 univ paris 09 ce...
  • 1 篇 school of comput...
  • 1 篇 us air force res...
  • 1 篇 univ florida dep...
  • 1 篇 ceremade umr cnr...
  • 1 篇 computer science...

作者

  • 3 篇 solem jan erik
  • 3 篇 cremers d
  • 3 篇 osher s
  • 2 篇 s. osher
  • 2 篇 schnörr c
  • 2 篇 olivier faugeras
  • 2 篇 y. chen
  • 2 篇 a. yezzi
  • 2 篇 paragios n
  • 2 篇 r. deriche
  • 2 篇 vese la
  • 2 篇 weickert j
  • 2 篇 chan tf
  • 2 篇 yezzi a
  • 2 篇 weickert joachim
  • 2 篇 tony chan
  • 2 篇 cremers daniel
  • 2 篇 b.c. vemuri
  • 2 篇 heyden anders
  • 2 篇 mubarak shah

语言

  • 147 篇 英文
  • 1 篇 其他
  • 1 篇 中文
检索条件"任意字段=IEEE Workshop on Variational and Level Set Methods in Computer Vision"
149 条 记 录,以下是31-40 订阅
排序:
Human object interactions recognition based on social network analysis
Human object interactions recognition based on social networ...
收藏 引用
Applied Imagery Pattern Recognition workshop (AIPR)
作者: Guang Yang Yafeng Yin Hong Man Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken NJ USA
Recognizing human-object interactions in videos is a very challenging problem in computer vision research. There are two major difficulties lying in this task: (1) The detection of human body parts and objects is usua... 详细信息
来源: 评论
A variational approach to mapping and localization
A variational approach to mapping and localization
收藏 引用
2012 9th Conference on computer and Robot vision, CRV 2012
作者: Hogue, Andrew Khattak, Saad Faculty of Business and IT University of Ontario Institute of Technology Oshawa ON United States
A fundamental open problem in SLAM is the effective representation of the map in unknown, ambiguous, complex, dynamic environments. Representing such environments in a suitable manner is a complex task. Existing appro... 详细信息
来源: 评论
Sphere2: Jerry's rig, an OpenGL application for non-linear panorama viewing and interaction
Sphere2: Jerry's rig, an OpenGL application for non-linear p...
收藏 引用
2012 Western New York Image Processing workshop, WNYIPW 2012
作者: Keane, Tommy P. Cahill, Nathan D. Rhody, Harvey Hu, Bo Tarduno, John Jacobs, Robert Pelz, Jeff Chester F. Carlson Center for Imaging Science Rochester Institute of Technology Rochester NY 14623 United States School of Mathematical Sciences Rochester Institute of Technology Rochester NY 14623 United States Department of Earth and Environmental Sciences University of Rochester Rochester NY 14611 United States Department of Brain and Cognitive Sciences University of Rochester Rochester NY 14611 United States
Given a set of images, or time-lapsed imagery, that is captured in an unconstrained domain, there are numerous methods to map that data into a domain that is readily displayable on basic rectilinear digital displays. ... 详细信息
来源: 评论
X-SAR SpotLigh images feature selection and water segmentation
X-SAR SpotLigh images feature selection and water segmentati...
收藏 引用
ieee International workshop on Imaging Systems and Techniques (IST)
作者: Bruno Cafaro Silvia Canale Fiora Pirri Department of Computer Control and Management Engineering |A. Ruberti| Sapienza Università di Roma Roma Italy
In this paper we address the feature selection problem for X-SAR images and further the segmentation of specific chosen classes. After defining a suitable feature space for X-SAR images we select the most significant ... 详细信息
来源: 评论
Nonlinear shape manifolds as shape priors in level set segmentation and tracking
Nonlinear shape manifolds as shape priors in level set segme...
收藏 引用
作者: Prisacariu, Victor Adrian Reid, Ian University of Oxford United Kingdom
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level set-based segmentation and tracking. Unlike previous work, we represent shapes with elliptic Fourier descriptors... 详细信息
来源: 评论
variational image segmentation models: Application to medical images MRI
Variational image segmentation models: Application to medica...
收藏 引用
ieee International Conference on Multimedia Computing and Systems (ICMCS)
作者: Samir Bara Mounir Ait Kerroum Ahmed Hammouch Driss Aboutajdine UFR LRIT Faculty of Sciences Mohamed V-Agdal University Rabat Morocco Equipe Imagerie et Multimedia Laboratoire LARIT ENCG Université Ibn Tofail Kenitra Morocco Laboratory LRGE ENSET Mohammed-V University Rabat Morocco
Image segmentation is an important branch of computer vision. Its aim is to extract meaningful lying in objects images, either by dividing images into contiguous semantic regions, or by extracting one or several objec... 详细信息
来源: 评论
Distance Regularized level set Evolution and Its Application to Image Segmentation
收藏 引用
ieee TRANSACTIONS ON IMAGE PROCESSING 2010年 第12期19卷 3243-3254页
作者: Li, Chunming Xu, Chenyang Gui, Changfeng Fox, Martin D. Vanderbilt Univ Inst Imaging Sci Nashville TN 37232 USA Siemens Corp Res Technol Business Ctr Berkeley CA 94704 USA Univ Connecticut Dept Math Storrs CT 06269 USA Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA
level set methods have been widely used in image processing and computer vision. In conventional level set formulations, the level set function typically develops irregularities during its evolution, which may cause n... 详细信息
来源: 评论
Locating texture boundaries using a fast unsupervised approach based on clustering algorithms fusion and level set
Locating texture boundaries using a fast unsupervised approa...
收藏 引用
2009 ieee International Conference on Signal and Image Processing Applications, ICSIPA09
作者: Emambakhsh, Mehryar Sedaaghi, Mohammad Hossein Ebrahimnezhad, Hossein Computer Vision Lab. Department of Electrical Engineering Sahand University of Technology Sahand New City Tabriz Iran
Image segmentation deals with partitioning an input image into disjoint/non-overlapping regions. Among different segmentation algorithms, level set methods have been very popular. Less sensitivity to initialization, a... 详细信息
来源: 评论
Locating texture boundaries using a fast unsupervised approach based on clustering algorithms fusion and level set
Locating texture boundaries using a fast unsupervised approa...
收藏 引用
ieee International Conference on Signal and Image Processing Applications (ICSIPA)
作者: Mehryar Emambakhsh Mohammad Hossein Sedaaghi Hossein Ebrahimnezhad Computer Vision Laboratory Department of Electrical Engineering Sahand University of Technology Tabriz Iran Department of Electrical Engineering Sahand University of Technology Tabriz Iran
Image segmentation deals with partitioning an input image into disjoint/non-overlapping regions. Among different segmentation algorithms, level set methods have been very popular. Less sensitivity to initialization, a... 详细信息
来源: 评论
Shape prior segmentation of multiple objects with graph cuts
Shape prior segmentation of multiple objects with graph cuts
收藏 引用
ieee Conference on computer vision and Pattern Recognition
作者: Vu, Nhat Manjunath, B. S. Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA
We present a new shape prior segmentation method using graph cuts capable of segmenting multiple objects. The shape prior energy is based on a shape distance popular with level set approaches. We also present a multip... 详细信息
来源: 评论