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检索条件"任意字段=MIPPR 2007: Pattern Recognition and Computer Vision"
1015 条 记 录,以下是821-830 订阅
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A Fuzzy-interval based approach for explicit graph embedding
A Fuzzy-interval based approach for explicit graph embedding
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20th International Conference on pattern recognition, ICPR 2010
作者: Luqman, Muhammad Muzzamil Lladós, Josep Ramel, Jean-Yves Brouard, Thierry Laboratoire d’Informatique Université François Rabelais de Tours France Computer Vision Center Universitat Autónoma de Barcelona Spain
We present a new method for explicit graph embedding. Our algorithm extracts a feature vector for an undirected attributed graph. The proposed feature vector encodes details about the number of nodes, number of edges,... 详细信息
来源: 评论
Contextual pooling in image classification
Contextual pooling in image classification
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11th Asian Conference on computer vision, ACCV 2012
作者: Wu, Zifeng Huang, Yongzhen Wang, Liang Tan, Tieniu National Lab. of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100190 China
The original bag-of-words (BoW) model in terms of image classification treats each local feature independently, and thus ignores the spatial relationships between a feature and its neighboring features, namely, the fe... 详细信息
来源: 评论
Free-shape subwindow search for object localization
Free-shape subwindow search for object localization
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Conference on computer vision and pattern recognition (CVPR)
作者: Zhiqi Zhang Yu Cao Dhaval Salvi Kenton Oliver Jarrell Waggoner Song Wang Department of Computer Science and Engineering University of South Carolina Columbia SC USA
Object localization in an image is usually handled by searching for an optimal subwindow that tightly covers the object of interest. However, the subwindows considered in previous work are limited to rectangles or oth... 详细信息
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Two thresholds are better than one
Two thresholds are better than one
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Conference on computer vision and pattern recognition (CVPR)
作者: Tao Zhang Terrance E. Boult R.C. Johnson Vision And Security Technology Laboratory University of Colorado Colorado Springs CO USA
The concept of the Bayesian optimal single threshold is a well established and widely used classification technique. In this paper, we prove that when spatial cohesion is assumed for targets, a better classification r... 详细信息
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Segmenting Motions of Different Types by Unsupervised Manifold Clustering
Segmenting Motions of Different Types by Unsupervised Manifo...
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Conference on computer vision and pattern recognition (CVPR)
作者: Alvina Goh Rene Vidal Center for Imaging Science Johns Hopkins University Baltimore MD USA
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associated with different motions live in di... 详细信息
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On Constant Focal Length Self-Calibration From Multiple Views
On Constant Focal Length Self-Calibration From Multiple View...
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Conference on computer vision and pattern recognition (CVPR)
作者: Benoit Bocquillon Adrien Bartoli Pierre Gurdjos Alain Crouzil UPS-IRIT France CNRS-LASMEA France
We investigate the problem of finding the metric structure of a general 3D scene viewed by a moving camera with square pixels and constant unknown focal length. While the problem has a concise and well-understood form... 详细信息
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Scene Segmentation and Categorization Using NCuts
Scene Segmentation and Categorization Using NCuts
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Conference on computer vision and pattern recognition (CVPR)
作者: Yanjun Zhao Tao Wang Peng Wang Wei Hu Yangzhou Du Yimin Zhang Guangyou Xu Department CS. & Technology Tsinghua University Beijing China Intel China Research Center Limited Beijing China
For video summarization and retrieval, one of the important modules is to group temporal-spatial coherent shots into high-level semantic video clips namely scene segmentation. In this paper, we propose a novel scene s... 详细信息
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Simultaneous Optimization of Structure and Motion in Dynamic Scenes Using Unsynchronized Stereo Cameras
Simultaneous Optimization of Structure and Motion in Dynamic...
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Conference on computer vision and pattern recognition (CVPR)
作者: Akihito Seki Masatoshi Okutomi Graduate School of Science and Engineering Tokyo Institute of Technology Tokyo Japan
In this paper, we propose a simultaneous estimation method of structure and motion in dynamic scenes. Usual methods for obtaining structure and motion using stereo cameras require two kinds of operations: stereo corre... 详细信息
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Learning to Group Objects
Learning to Group Objects
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IEEE Conference on computer vision and pattern recognition
作者: Victoria Yanulevskaya Jasper Uijlings Nicu Sebe University of Trento
This paper presents a novel method to generate a hypothesis set of class-independent object regions. It has been shown that such object regions can be used to focus computer vision techniques on the parts of an image ... 详细信息
来源: 评论
Combination of OCR Engines for Page Segmentation Based on Performance Evaluation
Combination of OCR Engines for Page Segmentation Based on Pe...
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International Conference on Document Analysis and recognition
作者: M. Ferrer E. Valveny Computer Vision Center-Department Ciències Computació Universitat Autònoma Barcelona Bellaterra Spain
In this paper we present a method to improve the performance of individual page segmentation engines based on the combination of the output of several engines. The rules of combination are designed after analyzing the... 详细信息
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