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检索条件"任意字段=2006 Conference on Computer Vision and Pattern Recognition Workshops"
5387 条 记 录,以下是4741-4750 订阅
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Benchmark Dataset Collection
Benchmark Dataset Collection
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
来源: 评论
Sensing deforming and moving objects with commercial off the shelf hardware
Sensing deforming and moving objects with commercial off the...
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2005 IEEE computer Society conference on computer vision and pattern recognition, CVPR 2005 - workshops
作者: Fong, Philip Buron, Florian Department of Computer Science Stanford University StanfordCA United States
In many application areas, there exists a crucial need for capturing 3D videos of fast moving and/or deforming objects. A 3D video is a sequence of 3D representations at high time and space resolution. Although many 3... 详细信息
来源: 评论
Open Call for Benchmark/Test Dataset
Open Call for Benchmark/Test Dataset
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
来源: 评论
Topics of Interest
Topics of Interest
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
Provides a schedule of conference events and a listing of which papers were presented in each session.
来源: 评论
System for Live Virtual-Endoscopic Guidance of Bronchoscopy
System for Live Virtual-Endoscopic Guidance of Bronchoscopy
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: J.P. Helferty A.J. Sherbondy A.P. Kiraly W.E. Higgins Lockheed Martin Corporation PA USA Department of Radiology University of Stanford Stanford CA USA Siemens Corporate Research Center Princeton NJ USA Department of Electrical Engineering Pennsylvania State University University Park PA USA
来源: 评论
3D measurements in cargo inspection with a gamma-ray linear pushbroom stereo system
3D measurements in cargo inspection with a gamma-ray linear ...
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2005 IEEE computer Society conference on computer vision and pattern recognition, CVPR 2005 - workshops
作者: Zhu, Zhigang Zhao, Li Lei, Jiayan Department of Computer Science The City College The City University of New York New YorkNY10031 United States
In this paper we present a practical approach for 3D measurements in gamma-ray (or X-ray) cargo inspection. The linear pushbroom sensor model is used for such a gamma-ray scanning system. Thanks to the constraints of ... 详细信息
来源: 评论
Smart Light-Ultra High Speed Projector for Spatial Multiplexing Optical Transmission
Smart Light-Ultra High Speed Projector for Spatial Multiplex...
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: H. Nii M. Sugimoto M. Inami The University of Electro-Communications
来源: 评论
Examples of Low-Level computer vision on Media Processors
Examples of Low-Level Computer Vision on Media Processors
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: B. Kisacanin Delphi Communications Systems Inc. USA
In this paper we describe a practical approach to processor selection for embedded computer vision applications. This approach is based on expected production volumes and other requirements. We then present several po... 详细信息
来源: 评论
Heteroscedastic Projection Based M-Estimators
Heteroscedastic Projection Based M-Estimators
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: R. Subbarao P. Meer Electrical and Computer Engineering Department Rutgers University Piscataway NJ USA
Robust regression methods, such as RANSAC, suffer from a sensitivity to the scale parameter used for generating the inlier-outlier dichotomy. Projection based M-estimators (pbM) offer a solution to this by reframing t... 详细信息
来源: 评论
Predicting and Evaluating the Power of Shared Features
Predicting and Evaluating the Power of Shared Features
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IEEE computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: T.S. Stepleton Robotics Institute Carnegie Mellon University Germany
Several recent efforts in multi-class feature-based object recognition employ shared features, or features that simultaneously belong to multiple class models. These approaches claim a considerable time savings by red... 详细信息
来源: 评论