咨询与建议

限定检索结果

文献类型

  • 802 篇 会议
  • 126 篇 期刊文献
  • 57 册 图书
  • 3 篇 学位论文

馆藏范围

  • 988 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 592 篇 工学
    • 400 篇 计算机科学与技术...
    • 233 篇 软件工程
    • 131 篇 电气工程
    • 88 篇 测绘科学与技术
    • 72 篇 光学工程
    • 67 篇 控制科学与工程
    • 51 篇 信息与通信工程
    • 44 篇 机械工程
    • 43 篇 仪器科学与技术
    • 17 篇 生物医学工程(可授...
    • 16 篇 电子科学与技术(可...
    • 13 篇 生物工程
    • 8 篇 化学工程与技术
    • 6 篇 建筑学
    • 5 篇 交通运输工程
    • 5 篇 航空宇航科学与技...
    • 4 篇 安全科学与工程
  • 307 篇 理学
    • 156 篇 物理学
    • 93 篇 数学
    • 91 篇 生物学
    • 30 篇 统计学(可授理学、...
    • 16 篇 系统科学
    • 7 篇 化学
    • 5 篇 地球物理学
  • 167 篇 医学
    • 165 篇 临床医学
    • 5 篇 基础医学(可授医学...
    • 5 篇 特种医学
  • 71 篇 管理学
    • 44 篇 管理科学与工程(可...
    • 27 篇 图书情报与档案管...
  • 31 篇 艺术学
    • 30 篇 设计学(可授艺术学...
  • 3 篇 农学
  • 2 篇 法学
  • 2 篇 教育学

主题

  • 358 篇 computer vision
  • 235 篇 pattern recognit...
  • 81 篇 layout
  • 71 篇 cameras
  • 67 篇 object detection
  • 67 篇 image segmentati...
  • 67 篇 robustness
  • 58 篇 shape
  • 56 篇 humans
  • 56 篇 object recogniti...
  • 51 篇 feature extracti...
  • 50 篇 face recognition
  • 44 篇 application soft...
  • 43 篇 machine vision
  • 41 篇 computer science
  • 41 篇 image processing
  • 41 篇 stereo vision
  • 38 篇 image recognitio...
  • 38 篇 image processing...
  • 36 篇 computer graphic...

机构

  • 15 篇 huazhong univ sc...
  • 13 篇 chinese acad sci...
  • 9 篇 national laborat...
  • 9 篇 institute for pa...
  • 7 篇 computer vision ...
  • 6 篇 microsoft resear...
  • 6 篇 national laborat...
  • 6 篇 institute for co...
  • 4 篇 robotics institu...
  • 4 篇 huazhong univ sc...
  • 4 篇 huazhong univ sc...
  • 4 篇 univ technol syd...
  • 4 篇 institute for co...
  • 4 篇 computer vision ...
  • 3 篇 national lab. of...
  • 3 篇 lund university
  • 3 篇 univ chinese aca...
  • 3 篇 univ technol syd...
  • 3 篇 faculty of infor...
  • 3 篇 chinese acad sci...

作者

  • 18 篇 tan tieniu
  • 16 篇 tao dacheng
  • 15 篇 sang nong
  • 12 篇 huang kaiqi
  • 11 篇 tieniu tan
  • 9 篇 zhang tianxu
  • 9 篇 tian jinwen
  • 8 篇 cao zhiguo
  • 8 篇 zhu song-chun
  • 8 篇 he xiangjian
  • 7 篇 kaiqi huang
  • 7 篇 li dehua
  • 7 篇 wu qiang
  • 6 篇 ding mingyue
  • 6 篇 horst bischof
  • 5 篇 cordelia schmid
  • 5 篇 sun zhenan
  • 5 篇 li xuelong
  • 5 篇 u. pal
  • 5 篇 mubarak shah

语言

  • 951 篇 英文
  • 29 篇 中文
  • 9 篇 其他
检索条件"任意字段=MIPPR 2007: Pattern Recognition and Computer Vision"
988 条 记 录,以下是341-350 订阅
Real-time facial expression recognition based on pixel-pattern-based texture feature
收藏 引用
ELECTRONICS LETTERS 2007年 第17期43卷 916-918页
作者: Lu, H.-C. Huang, Y.-J. Chen, Y.-W. Yang, D.-I. Dalian Univ Technol Dept Elect Engn Dalian 116023 Peoples R China Dalian Univ Technol Dept Management Dalian 116023 Peoples R China Ritsumeikan Univ Coll Informat Sci & Engn Kyoto 5258577 Japan
Proposed is a pixel-pattern-based texture feature (PPBTF) for realtime facial expression recognition. Grey-scale images are transformed into pattern maps where edges and lines are used for characterising facial textur... 详细信息
来源: 评论
Kernel-based tracking from a probabilistic viewpoint
Kernel-based tracking from a probabilistic viewpoint
收藏 引用
IEEE Conference on computer vision and pattern recognition
作者: Nguyen, Quang Anh Robles-Kelly, Antonio Shen, Chunhua Australian Natl Univ RSISE Bldg 115 Canberra ACT 0200 Australia Natl ICT Australia Canberra ACT 2601 Australia
In this paper, we present a probabilistic formulation of kernel-based tracking methods based upon maximum likelihood estimation. To this end, we view the coordinates for the pixels in both, the target model and its ca... 详细信息
来源: 评论
Recognizing human activities from silhouettes: Motion subspace and factorial discriminative graphical model
Recognizing human activities from silhouettes: Motion subspa...
收藏 引用
IEEE Conference on computer vision and pattern recognition
作者: Wang, Liang Suter, David Monash Univ Dept Elect & Comp Syst Engn Clayton Vic 3800 Australia
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel principal component analysis (KPCA) base... 详细信息
来源: 评论
Complex salient regions for computer vision problems
Complex salient regions for computer vision problems
收藏 引用
IEEE Conference on computer vision and pattern recognition
作者: Escalera, Sergio Radeva, Petia Pujol, Oriol UAB Comp Vis Ctr Edif O Bellaterra 08193 Spain Univ Barcelona CVC Dept Matemat Aplicada E-08007 Barcelona Spain
The goal of interest point detectors is to find in an unsupervised way, keypoints easy to extract and the same timerobust to image transformation. We present a novel set of saliency features based on image singulariti... 详细信息
来源: 评论
Recognizing night walkers based on one pseudoshape representation of gait
Recognizing night walkers based on one pseudoshape represent...
收藏 引用
IEEE Conference on computer vision and pattern recognition
作者: Tan, Daoliang Huang, Kaiqi Yu, Shiqi Tan, Tieniu Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100080 Peoples R China
Gait is a promising biometric cue which can facilitate the recognition of human beings, particularly when other biometrics are unavailable. Existing work for gait recognition, however, lays more emphasis on the proble... 详细信息
来源: 评论
Topologically logic ally clustering: A method for discarding mismatches
Topologically logic ally clustering: A method for discarding...
收藏 引用
mippr 2007: pattern recognition and computer vision
作者: Yongtao, Wang Dazhi, Zhang Chenqiang, Gao Jinwen, Tian State Key Laboratory for Multi-Spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China
Wide baseline stereo correspondence has become a challenging and attractive problem in computer vision and its related applications. Getting high correct ratio initial matches is a very important step of general wide ... 详细信息
来源: 评论
Incorporating on-demand stereo for real time recognition
Incorporating on-demand stereo for real time recognition
收藏 引用
IEEE Conference on computer vision and pattern recognition
作者: Deselaers, T. Criminisi, A. Winn, J. Agarwal, A. Microsoft Res Ltd Cambridge England Rhein Westfal TH Aachen Human Language Technol & Pattern Recognit Aachen Germany
A new method for localising and recognising hand poses and objects in real-time is presented. This problem is important in vision-driven applications where it is natural for a user to combine hand gestures and real ob... 详细信息
来源: 评论
Dynamic object recognition and tracking of mobile robot by monocular vision
Dynamic object recognition and tracking of mobile robot by m...
收藏 引用
5th International Symposium on Multispectral Image Processing and pattern recognition
作者: Liu, Lei Wang, Yongji Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Hubei Peoples R China
Monocular vision is widely used in mobile robot's motion control for its simple structure and easy using. An integrated description to distinguish and tracking the specified color targets dynamically and precisely... 详细信息
来源: 评论
Local structure detection with orientation-invariant radial configuration
Local structure detection with orientation-invariant radial ...
收藏 引用
IEEE Conference on computer vision and pattern recognition
作者: Szumilas, Lech Donner, Rene Langs, Georg Hanbury, Allan Vienna Univ Technol Pattern Recognit & Image Proc Grp Favoritenstr 9-1832 A-1040 Vienna Austria Graz Univ Technol Inst Comp Graph & Vis A-8010 Graz Austria
Local image descriptors have proved themselves as useful tools for many computer vision tasks such as matching points between multiple images of a scene and object recognition. Current descriptors, such as SIFT, are d... 详细信息
来源: 评论
Kernel-based 3D tracking
Kernel-based 3D tracking
收藏 引用
IEEE Conference on computer vision and pattern recognition
作者: Tyagi, Ambrish Keck, Mark Davis, James W. Potamianos, Gerasimos Ohio State Univ Dept Comp Sci & Engn Columbus OH 43210 USA IBM Corp TJ Watson Res Ctr Yorktown Hts NY 10598 USA
We present a computer vision system for robust object tracking in 3D by combining evidence from multiple calibrated cameras. This kernel-based 3D tracker is automatically bootstrapped by constructing 3D point clouds. ... 详细信息
来源: 评论