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检索条件"任意字段=2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009"
20951 条 记 录,以下是111-120 订阅
排序:
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language recognition
Learning Signs from Subtitles: A Weakly Supervised Approach ...
收藏 引用
ieee-computer-Society conference on computer vision and pattern recognition Workshops
作者: Cooper, Helen Bowden, Richard Univ Surrey CVSSP Guildford GU2 5XH Surrey England
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Based on head and hand tracking, a novel... 详细信息
来源: 评论
A Smart Sensor with Hyperspectral/Range Fovea and Panoramic Peripheral View
A Smart Sensor with Hyperspectral/Range Fovea and Panoramic ...
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ieee-computer-Society conference on computer vision and pattern recognition Workshops
作者: Wang, Tao Zhu, Zhigang Rhody, Harvey CUNY City Coll Dept Comp Sci 138th St & Convent Ave New York NY 10031 USA CUNY Dept Comp Sci New York NY 10016 USA Rochester Inst Technol Ctr Imaging Sci Rochester NY 14623 USA
We propose an adaptive and effective multimodal peripheral-fovea sensor design for real-time targets tracking. This design is inspired by the biological vision systems for achieving real-time target detection and reco... 详细信息
来源: 评论
Improving Face recognition with a Quality-based Probabilistic Framework
Improving Face Recognition with a Quality-based Probabilisti...
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ieee-computer-Society conference on computer vision and pattern recognition Workshops
作者: Ozay, Necmiye Tong, Yan Wheeler, Frederick W. Liu, Xiaoming Northeastern Univ ECE Dept Boston MA 02115 USA GE Global Res Visualizat & Comp Vis Lab Niskayuna NY USA
This paper addresses the problem of developing facial image quality metrics that are predictive of the performance of existing biometric matching algorithms and incorporating the quality estimates into the recognition... 详细信息
来源: 评论
Modeling and Exploiting the Spatio-temporal Facial Action Dependencies for Robust Spontaneous Facial Expression recognition
Modeling and Exploiting the Spatio-temporal Facial Action De...
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ieee-computer-Society conference on computer vision and pattern recognition Workshops
作者: Tong, Yan Chen, Jixu Ji, Qiang GE Global Res Ctr Niskayuna NY 12309 USA Rensselaer Polytech Inst Troy NY 12180 USA
Facial action provides various types of messages for human communications. Recognizing spontaneous facial actions, however is very challenging due to subtle facial deformation, frequent head movements, and ambiguous a... 详细信息
来源: 评论
From Structure-from-Motion Point Clouds to Fast Location recognition
From Structure-from-Motion Point Clouds to Fast Location Rec...
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ieee-computer-Society conference on computer vision and pattern recognition Workshops
作者: Irschara, Arnold Zach, Christopher Frahm, Jan-Michael Bischof, Horst Graz Univ Technol A-8010 Graz Austria Univ N Carolina Chapel Hill NC USA
Efficient view registration with respect to a given 3D reconstruction has many applications like inside-out tracking in indoor and outdoor environments, and geo-locating images from large photo collections. We present... 详细信息
来源: 评论
Textural Hausdorff Distance for Wider-Range Tolerance to Pose Variation and Misalignment in 2D Face recognition
Textural Hausdorff Distance for Wider-Range Tolerance to Pos...
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ieee-computer-Society conference on computer vision and pattern recognition Workshops
作者: Zhao, Sanqiang Gao, Yongsheng Griffith Univ Sch Engn Brisbane Qld 4111 Australia
This paper addresses two critical but rarely concerned issues in 2D face recognition: wider-range tolerance to pose variation and misalignment. We propose a new Textural Hausdorff Distance (THD), which is a compound m... 详细信息
来源: 评论
An Implicit Spatiotemporal Shape Model for Human Activity Localization and recognition
An Implicit Spatiotemporal Shape Model for Human Activity Lo...
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ieee-computer-Society conference on computer vision and pattern recognition Workshops
作者: Oikonomopoulos, A. Patras, I. Pantic, M. Univ London Imperial Coll Sci Technol & Med Dept Comp London England Queen Mary Univ London Dept Elect Engn London England
In this paper we address the problem of localisation and recognition of human activities in unsegmented image sequences. The main contribution of the proposed method is the use of an implicit representation of the spa... 详细信息
来源: 评论
Stereographic Rectification of Omnidirectional Stereo Pairs
Stereographic Rectification of Omnidirectional Stereo Pairs
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ieee-computer-Society conference on computer vision and pattern recognition Workshops
作者: Heller, Jan Pajdla, Tomas Czech Tech Univ Ctr Machine Percept Dept Cybernet Fac Elect Engn CR-16635 Prague Czech Republic
We present a general technique for rectification of a stereo pair acquired by a calibrated omnidirectional camera. Using this technique we formulate a new stereographic rectification method. Our rectification does not... 详细信息
来源: 评论
Mining Discriminative Adjectives and Prepositions for Natural Scene recognition
Mining Discriminative Adjectives and Prepositions for Natura...
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ieee-computer-Society conference on computer vision and pattern recognition Workshops
作者: Yao, Bangpeng Niebles, Juan Carlos Fei-Fei, Li Princeton Univ Dept Comp Sci Princeton NJ 08540 USA Princeton Univ Dept Elect Engn Princeton NJ 08540 USA Univ Norte Robot & Intelligent Syst Grp Norte Colombia
This paper presents a method that considers not only patch appearances, but also patch relationships in the form of adjectives and prepositions for natural scene recognition. Most of the existing scene categorization ... 详细信息
来源: 评论
VideoTrek: A vision System for a Tag-along Robot
VideoTrek: A Vision System for a Tag-along Robot
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ieee-computer-Society conference on computer vision and pattern recognition Workshops
作者: Naroditsky, Oleg Zhu, Zhiwei Das, Aveek Samarasekera, Supun Oskiper, Taragay Kumar, Rakesh Sarnoff Corp Princeton NJ 08540 USA
We present a system that combines multiple visual navigation techniques to achieve GPS-denied, non-line-of-sight SLAM capability for heterogeneous platforms. Our approach builds on several layers of vision algorithms,... 详细信息
来源: 评论