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检索条件"任意字段=2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011"
21179 条 记 录,以下是131-140 订阅
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Optimal selection of camera parameters for recovery of depth from defocused images
Optimal selection of camera parameters for recovery of depth...
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1997 ieee computer Society conference on computer vision and pattern recognition (cvpr 97)
作者: Rajagopalan, AN Chaudhuri, S Indian Inst of Technology Bombay India
In the depth from defocus (DFD) method two defocused images of a scene are obtained by capturing the scene with different sets of camera parameters. An arbitrary selection of the camera settings can result in observed... 详细信息
来源: 评论
Character extraction of license plates from video
Character extraction of license plates from video
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1997 ieee computer Society conference on computer vision and pattern recognition (cvpr 97)
作者: Cui, YT Huang, Q Siemens Corporate Research Inc Princeton United States
In this paper, we present a new approach to extract characters on a license plate of a moving vehicle given a sequence of perspective distortion corrected license plate images. We model the extraction of characters as... 详细信息
来源: 评论
Verifying model-based alignments in the presence of uncertainty
Verifying model-based alignments in the presence of uncertai...
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1997 ieee computer Society conference on computer vision and pattern recognition (cvpr 97)
作者: Alter, TD Grimson, WEL MIT Artificial Intelligence Lab Cambridge United States
This paper introduces a unified approach to the problem of verifying Alignment hypotheses in the presence of substantial amounts of uncertainty in the predicted locations of projected model features. Our approach is i... 详细信息
来源: 评论
Detecting Text in Natural Scenes with Stroke Width Transform
Detecting Text in Natural Scenes with Stroke Width Transform
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Epshtein, Boris Ofek, Eyal Wexler, Yonatan Microsoft Corp Redmond WA 98052 USA
We present a novel image operator that seeks to find the value of stroke width for each image pixel, and demonstrate its use on the task of text detection in natural images. The suggested operator is local and data de... 详细信息
来源: 评论
Fast Bilateral-Space Stereo for Synthetic Defocus
Fast Bilateral-Space Stereo for Synthetic Defocus
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ieee conference on computer vision and pattern recognition (cvpr)
作者: Barron, Jonathan T. Adams, Andrew Shih, YiChang Hernandez, Carlos
Given a stereo pair it is possible to recover a depth map and use that depth to render a synthetically defocused image. Though stereo algorithms are well-studied, rarely are those algorithms considered solely in the c... 详细信息
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Resolving occlusion in augmented reality: a contour based approach without 3D reconstruction
Resolving occlusion in augmented reality: a contour based ap...
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1997 ieee computer Society conference on computer vision and pattern recognition (cvpr 97)
作者: Berger, MO CRIN/CNRS Vandoeuvre les Nancy France
We present a new approach for resolving occlusions in augmented reality. The main interest is that it does not require 3D reconstruction of the considered scene. Our idea is to use a contour based approach and to labe... 详细信息
来源: 评论
Deep Global Registration
Deep Global Registration
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Choy, Christopher Dong, Wei Koltun, Vladlen Stanford Univ Stanford CA 94305 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA Intel Labs Hillsboro OR USA
We present Deep Global Registration, a differentiable framework for pairwise registration of real-world 3D scans. Deep global registration is based on three modules: a 6-dimensional convolutional network for correspon... 详细信息
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Histograms of pattern Sets for Image Classification and Object recognition  27
Histograms of Pattern Sets for Image Classification and Obje...
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27th ieee conference on computer vision and pattern recognition (cvpr)
作者: Voravuthikunchai, Winn Cremilleux, Bruno Jurie, Frederic Univ Caen Basse Normandie CNRS UMR 6072 ENSICAEN Caen France
This paper introduces a novel image representation capturing feature dependencies through the mining of meaningful combinations of visual features. This representation leads to a compact and discriminative encoding of... 详细信息
来源: 评论
Supervised Kernel Descriptors for Visual recognition
Supervised Kernel Descriptors for Visual Recognition
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Wang, Peng Wang, Jingdong Zeng, Gang Xu, Weiwei Zha, Hongbin Li, Shipeng Peking Univ Beijing Peoples R China Microsoft Res Asia Beijing Peoples R China Hangzhou Normal Univ Hangzhou Zhejiang Peoples R China
In visual recognition tasks, the design of low level image feature representation is fundamental. The advent of local patch features from pixel attributes such as SIFT and LBP, has precipitated dramatic progresses. Re... 详细信息
来源: 评论
Adaptive Active Learning for Image Classification
Adaptive Active Learning for Image Classification
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Li, Xin Guo, Yuhong Temple Univ Dept Comp & Informat Sci Philadelphia PA 19122 USA
Recently active learning has attracted a lot of attention in computer vision field, as it is time and cost consuming to prepare a good set of labeled images for vision data analysis. Most existing active learning appr... 详细信息
来源: 评论