咨询与建议

限定检索结果

文献类型

  • 13 篇 会议

馆藏范围

  • 13 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 5 篇 理学
    • 3 篇 数学
    • 2 篇 物理学
    • 2 篇 生物学
    • 1 篇 统计学(可授理学、...
  • 3 篇 工学
    • 2 篇 光学工程
    • 2 篇 计算机科学与技术...
    • 2 篇 软件工程
    • 2 篇 生物工程
    • 1 篇 机械工程
    • 1 篇 控制科学与工程
  • 2 篇 法学
    • 2 篇 社会学

主题

  • 7 篇 computer vision
  • 5 篇 laboratories
  • 5 篇 numerical analys...
  • 5 篇 object recogniti...
  • 4 篇 computer science
  • 4 篇 cameras
  • 4 篇 humans
  • 3 篇 layout
  • 2 篇 councils
  • 2 篇 covariance matri...
  • 2 篇 pattern recognit...
  • 2 篇 histograms
  • 2 篇 image recognitio...
  • 2 篇 robustness
  • 1 篇 filters
  • 1 篇 support vector m...
  • 1 篇 trees (mathemati...
  • 1 篇 statistics
  • 1 篇 voting
  • 1 篇 spatial database...

机构

  • 3 篇 computational vi...
  • 2 篇 department of co...
  • 2 篇 department of co...
  • 2 篇 school of comput...
  • 1 篇 department of co...
  • 1 篇 computational vi...
  • 1 篇 computational vi...
  • 1 篇 department of nu...
  • 1 篇 computational vi...
  • 1 篇 computational vi...
  • 1 篇 computational vi...
  • 1 篇 computational vi...
  • 1 篇 dept. of compute...
  • 1 篇 ab kogs fb infor...
  • 1 篇 laboratory of im...
  • 1 篇 laboratory of im...
  • 1 篇 department of nu...
  • 1 篇 department of co...
  • 1 篇 computational vi...
  • 1 篇 computational vi...

作者

  • 3 篇 t. lindeberg
  • 3 篇 i. laptev
  • 3 篇 dickinson sven
  • 2 篇 bretzner lars
  • 2 篇 b. caputo
  • 2 篇 tsotsos john
  • 2 篇 keselman yakov
  • 2 篇 christensen henr...
  • 2 篇 shokoufandeh ali
  • 1 篇 olsson lars
  • 1 篇 ramström ola
  • 1 篇 fatili demirci m...
  • 1 篇 olofsson
  • 1 篇 dickinson sven j...
  • 1 篇 stevenson suzann...
  • 1 篇 dickinson
  • 1 篇 o. linde
  • 1 篇 jasiobedzki
  • 1 篇 p. fornland
  • 1 篇 m.e. nilsback

语言

  • 13 篇 英文
检索条件"机构=Computational Vision and Active Perception Num. Analysis and Computer Science"
13 条 记 录,以下是1-10 订阅
排序:
Visual attention using game theory  2
收藏 引用
2nd International Workshop on Biologically Motivated computer vision, BMCV 2002
作者: Ramström, Ola Christensen, Henrik I. Computational Vision and Active Perception Numerical Analysis and Computer Science Royal Institute of Technology StockholmSE-100 44 Sweden
A system using visual information to interact with its environment, e.g. a robot, needs to process an enormous amount of data. To ensure that the visual process has tractable complexity visual attention plays an impor... 详细信息
来源: 评论
A robust and convergent iterative approach for determining the dominant plane from two views without correspondence and calibration
A robust and convergent iterative approach for determining t...
收藏 引用
Conference on computer vision and Pattern Recognition (CVPR)
作者: P. Fornland C. Schnorr Computational Vision and Active Perception Num. Analysis and Computer Science Royal Institute of Technology Stockholm Sweden AB Kogs FB Informatik University of Hamburg Hamburg Germany
A robust, iterative approach is introduced for finding the dominant plane in a scene using binocular vision. Neither camera calibration nor stereo correspondence is required. Recently L. Cohen (1996) formalized a fram... 详细信息
来源: 评论
Object recognition using composed receptive field histograms of higher dimensionality
Object recognition using composed receptive field histograms...
收藏 引用
International Conference on Pattern Recognition
作者: O. Linde T. Lindeberg Department of Numerical Analysis and Computer Science KTH Computational Vision and Active Perception Laboratory Stockholm Sweden
Effective methods for recognising objects or spatio-temporal events can be constructed based on receptive field responses summarised into histograms or other histogram-like image descriptors. This work presents a set ... 详细信息
来源: 评论
Cue integration through discriminative accumulation
Cue integration through discriminative accumulation
收藏 引用
Conference on computer vision and Pattern Recognition (CVPR)
作者: M.E. Nilsback B. Caputo Department of Numerical Analysis and Computer Science Computational Vision and Active Perception Laboratory (CVAP) KTH Stockholm Sweden
Object recognition systems aiming to work in real world settings should use multiple cues in order to achieve robustness. We present a new cue integration scheme, which extends the idea of cue accumulation to discrimi... 详细信息
来源: 评论
Velocity adaptation of space-time interest points
Velocity adaptation of space-time interest points
收藏 引用
International Conference on Pattern Recognition
作者: I. Laptev T. Lindeberg Computational Vision and Active Perception Laboratory (CVAP) Department of Numerical Analysis and Computer Science KTH Royal Institute of Technology Stockholm Sweden
The notion of local features in space-time has recently been proposed to capture and describe local events in video. When computing space-time descriptors, however, the result may strongly depend on the relative motio... 详细信息
来源: 评论
Integrating task-directed plaiming with reactive object recognition  12
Integrating task-directed plaiming with reactive object reco...
收藏 引用
Intelligent Robots and computer vision XII: Algorithms and Techniques 1993
作者: Dickinson, Sven Stevenson, Suzanne Amdur, Eugene Tsotsos, John Olsson, Lars Department of Computer Science University of Toronto 6 King's College Rd. TorontoONM5S1A4 Canada Computational Vision and Active Perception Laboratory Dept. of Numerical Analysis and Computing Science Royal Institute of Tecimology StockholmS-10044 Sweden
We describe a robot vision system that achieves complex object recognition with two layers of behaviors, performing the tasks of planning and object recognition, respectively. The recognition layer is a pipeline in wh... 详细信息
来源: 评论
Recognizing human actions: a local SVM approach
Recognizing human actions: a local SVM approach
收藏 引用
International Conference on Pattern Recognition
作者: C. Schuldt I. Laptev B. Caputo Computational Vision and Active Perception Laboratory (CVAP) Department of Numerical Analysis and Computer Science KTH Royal Institute of Technology Stockholm Sweden
Local space-time features capture local events in video and can be adapted to the size, the frequency and the velocity of moving patterns. In this paper, we demonstrate how such features can be used for recognizing co... 详细信息
来源: 评论
Galilean-diagonalized spatio-temporal interest operators
Galilean-diagonalized spatio-temporal interest operators
收藏 引用
International Conference on Pattern Recognition
作者: T. Lindeberg A. Akbarzadeh I. Laptev Computational Vision and Active Perception Laboratory (CVAP) Department of Numerical Analysis and Computer Science KTH Royal Institute of Technology Stockholm Sweden
This paper presents a set of image operators for detecting regions in space-time where interesting events occur. To define such regions of interest, we compute a spatio-temporal second-moment matrix from a spatio-temp... 详细信息
来源: 评论
Many-to-many feature matching using spherical coding of directed graphs  8
收藏 引用
8th European Conference on computer vision, ECCV 2004
作者: Fatili Demirci, M. Shokoufandeh, Ali Dickinson, Sven Keselman, Yakov Bretzner, Lars Department of Computer Science Drexel University PhiladelphiaPA19104 United States Department of Computer Science University of Toronto TorontoONM5S 3G4 Canada School of Computer Science Telecommunications and Information Systems DePaul University ChicagoIL60604 United States Computational Vision and Active Perception Laboratory Department Of Numerical Analysis and Computer Science KTH Stockholm Sweden
Abstract. In recent work, we presented a framework for many-to-many matching of multi-scale feature hierarchies, in which features and their relations were captured in a vertex-labeled, edge-weighted directed graph. T... 详细信息
来源: 评论
Integrating object and grasp recognition for dynamic scene interpretation
Integrating object and grasp recognition for dynamic scene i...
收藏 引用
International Conference on Advanced Robotics (ICAR)
作者: S. Ekvall D. Kragic Computational Vision and Active Perception Laboratory Centre for Autonomous Systems Department of Numerical Analysis and Computer Science Royal Institute of Technology Stockholm Sweden
Understanding and interpreting dynamic scenes and activities is a very challenging problem. In this paper, we present a system capable of learning robot tasks from demonstration. Classical robot task programming requi... 详细信息
来源: 评论