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检索条件"任意字段=2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005"
6538 条 记 录,以下是4981-4990 订阅
排序:
Multifeature object tracking using a model-free approach
Multifeature object tracking using a model-free approach
收藏 引用
ieee conference on computer vision and pattern recognition, cvpr 2000
作者: Nguyen, Hieu T. Worring, Marcel Univ of Amsterdam Amsterdam Netherlands
In this contribution we introduce a new model-free method for object tracking. The tracking is posed as a segmentation problem which we solve using the watershed algorithm. A framework is defined to compute the requir... 详细信息
来源: 评论
Learning from one example through shared densities on transforms
Learning from one example through shared densities on transf...
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ieee conference on computer vision and pattern recognition, cvpr 2000
作者: Miller, Erik G. Matsakis, Nicholas E. Viola, Paul A. Massachusetts Inst of Technology Artificial Intelligence Lab Cambridge MA United States
We define a process called congealing in which elements of a dataset (images) are brought into correspondence with each other jointly, producing a data-defined model. It is based upon minimizing the summed component-w... 详细信息
来源: 评论
Parametric template method and its application to robust matching
Parametric template method and its application to robust mat...
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ieee conference on computer vision and pattern recognition, cvpr 2000
作者: Tanaka, Koichi Sano, Mustuo Ohara, Syuichi Okudaira, Masashi Nippon Telegraph and Telephone Corp Musashino-shi Japan
We propose a template-matching method in which a parametric template space is constructed from a given set of template images then quickly matched to a reference image. In this method, geometrical changes in an image ... 详细信息
来源: 评论
Physical panoramic pyramid and noise sensitivity in pyramids
Physical panoramic pyramid and noise sensitivity in pyramids
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ieee conference on computer vision and pattern recognition, cvpr 2000
作者: Yin, Weihong Boult, Terrance E. Lehigh Univ Bethlehem PA United States
Multi-resolution techniques have been used in a wide range of vision applications. Unfortunately, the costly operation of building a proper pyramid strongly reduces its value as a tool for reducing computational cost.... 详细信息
来源: 评论
Statistical method for 3D object detection applied to faces and cars
Statistical method for 3D object detection applied to faces ...
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ieee conference on computer vision and pattern recognition, cvpr 2000
作者: Schneiderman, Henry Kanade, Takeo Carnegie Mellon Univ Pittsburgh PA United States
In this paper, we describe a statistical method for 3D object detection. We represent the statistics of both object appearance and 'non-object' appearance using a product of histograms. Each histogram represen... 详细信息
来源: 评论
Computational model for repeated pattern perception using Frieze and wallpaper groups
Computational model for repeated pattern perception using Fr...
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ieee conference on computer vision and pattern recognition, cvpr 2000
作者: Liu, Yanxi Collins, Robert T. Carnegie Mellon Univ Pittsburgh PA United States
Humans have an innate ability to perceive symmetry, but it is not obvious how to automate this powerful insight. In this paper the mathematical theory of Frieze and wallpaper groups is used to extract visually meaning... 详细信息
来源: 评论
On-line handwriting recognition system using fisher segmental matching and Hypotheses Propagation Network
On-line handwriting recognition system using fisher segmenta...
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ieee conference on computer vision and pattern recognition, cvpr 2000
作者: Oh, Jong Geiger, Davi New York Univ United States
We propose an on-line handwriting recognition approach that integrates local bottom-up constructs with a global top-down measure into a modular recognition engine. The bottom-up process uses local point features for h... 详细信息
来源: 评论
Learning to recognize objects
Learning to recognize objects
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ieee conference on computer vision and pattern recognition, cvpr 2000
作者: Roth, Dan Yang, Ming-Hsuan Ahuja, Narendra Univ of Illinois at Urbana-Champaign Urbana IL United States
A learning account for the problem of object recognition is developed within the PAC (Probably Approximately Correct) model of learnability. The proposed approach makes no assumptions on the distribution of the observ... 详细信息
来源: 评论
Integrating bottom-up/top-down for object recognition by Data Driven Markov Chain Monte Carlo
Integrating bottom-up/top-down for object recognition by Dat...
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ieee conference on computer vision and pattern recognition, cvpr 2000
作者: Zhu, Song-Chun Zhang, Rong Tu, Zhuowen Ohio State Univ Columbus OH United States
This article presents a mathematical paradigm called Data Driven Markov Chain Monte Carlo (DDMCMC) for object recognition. The objectives of this paradigm are two-fold. Firstly, it realizes traditional 'hypothesis... 详细信息
来源: 评论
Shape descriptors for non-rigid shapes with a single closed contour
Shape descriptors for non-rigid shapes with a single closed ...
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ieee conference on computer vision and pattern recognition, cvpr 2000
作者: Latecki, Longin Jan Lakaemper, Rolf Eckhardt, Ulrich Univ of Hamburg Hamburg Germany
The Core Experiment CE-Shape-1 for shape descriptors performed for the MPEG-7 standard gave a unique opportunity to compare various shape descriptors for non-rigid shapes with a single closed contour. There are two ma... 详细信息
来源: 评论