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检索条件"任意字段=26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013"
654 条 记 录,以下是211-220 订阅
排序:
What is a 'Good' Periocular Region for recognition?
What is a 'Good' Periocular Region for Recognition?
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Smereka, Jonathon M. Kumar, B. V. K. Vijaya
In challenging image acquisition settings where the performance of iris recognition algorithms degrades due to poor segmentation of the iris, image blur, specular reflections, and occlusions from eye lids and eye lash... 详细信息
来源: 评论
Probabilistic Elastic Matching for Pose Variant Face Verification
Probabilistic Elastic Matching for Pose Variant Face Verific...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Li, Haoxiang Hua, Gang Lin, Zhe Brandt, Jonathan Yang, Jianchao Stevens Inst Technol Hoboken NJ 07030 USA Adobe Syst Inc San Jose CA 95110 USA
Pose variation remains to be a major challenge for real-world face recognition. We approach this problem through a probabilistic elastic matching method. We take a part based representation by extracting local feature... 详细信息
来源: 评论
Deep Convolutional Network Cascade for Facial Point Detection
Deep Convolutional Network Cascade for Facial Point Detectio...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Sun, Yi Wang, Xiaogang Tang, Xiaoou Chinese Univ Hong Kong Dept Informat Engn Hong Kong Hong Kong Peoples R China Chinese Univ Hong Kong Dept Elect Engn Hong Kong Hong Kong Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China
We propose a new approach for estimation of the positions of facial keypoints with three-level carefully designed convolutional networks. At each level, the outputs of multiple networks are fused for robust and accura... 详细信息
来源: 评论
Evaluating Open-Universe Face Identification on the Web
Evaluating Open-Universe Face Identification on the Web
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Becker, Brian C. Ortiz, Enrique G. Carnegie Mellon Univ Inst Robot Pittsburgh PA 15213 USA Univ Cent Florida Ctr Res Comp Vis Orlando FL 32816 USA
Face recognition is becoming a widely used technique to organize and tag photos. Whether searching, viewing, or organizing photos on the web or in personal photo albums, there is a growing demand to index real-world p... 详细信息
来源: 评论
Edge Enhanced Depth Motion Map for Dynamic Hand Gesture recognition
Edge Enhanced Depth Motion Map for Dynamic Hand Gesture Reco...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Chenyang Tian, Yingli CUNY City Coll Dept Elect Engn New York NY 10031 USA
In this paper, we propose a novel approach to recognize dynamic hand gestures from depth video by integrating Edge Enhanced Depth Motion Map together with Histogram of Gradient descriptor. the novelty of this paper ha... 详细信息
来源: 评论
Action recognition with Temporal Relationships
Action Recognition with Temporal Relationships
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Cheng, Guangchun Wan, Yiwen Santiteerakul, Wasana Tang, Shijun Buckles, Bill P. Univ N Texas Denton TX 76203 USA
Action recognition is an important component in human-machine interactive systems and video analysis. Besides low-level actions, temporal relationships are also important for many actions, which are not fully studied ... 详细信息
来源: 评论
LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification
LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse ...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Ptucha, Raymond Savakis, Andreas Rochester Inst Technol Rochester NY 14623 USA
Sparse representations have successfully been exploited for the development of highly accurate classifiers. Unfortunately, these classifiers are computationally intensive and subject to the adverse effects of coeffici... 详细信息
来源: 评论
Maximum Cohesive Grid of Superpixels for Fast Object Localization
Maximum Cohesive Grid of Superpixels for Fast Object Localiz...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Li, Liang Feng, Wei Wan, Liang Zhang, Jiawan Tianjin Univ Tianjin Key Lab Cognit Comp & Applicat Tianjin 300072 Peoples R China Tianjin Univ Sch Comp Sci & Technol Tianjin Peoples R China Tianjin Univ Sch Comp Software Tianjin Peoples R China
this paper addresses a challenging problem of regularizing arbitrary superpixels into an optimal grid structure, which may significantly extend current low-level vision algorithms by allowing them to use superpixels (... 详细信息
来源: 评论
Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers
Adapting a Pedestrian Detector by Boosting LDA Exemplar Clas...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Xu, Jiaolong Vazquez, David Ramos, Sebastian Lopez, Antonio M. Ponsa, Daniel Autonomous Univ Barcelona Comp Vis Ctr E-08193 Barcelona Spain
Training vision-based pedestrian detectors using synthetic datasets (virtual world) is a useful technique to collect automatically the training examples with their pixel-wise ground truth. However, as it is often the ... 详细信息
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General Regression and Representation Model for Face recognition
General Regression and Representation Model for Face Recogni...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Qian, Jianjun Yang, Jian Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing Jiangsu Peoples R China
Recently, the regularized coding-based classification method (e. g. SRC and CRC) shows a great potential for face recognition. However, most existing coding methods ignore the statistical information from the training... 详细信息
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