检索结果-内蒙古大学图书馆

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3332卷 824-832页

作者： Liu, Zhi Yang, Jie Peng, Ningsong Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University No.1954 Huashan Road Shanghai 200030 China

This paper proposes a new tracking mechanism for semi-automatic video object segmentation. An interactive video object segmentation tool is presented for the user to easily define the desired video objects in the first frame, and then the video objects are automatically segmented using the proposed tracking mechanism of bi-directional projection. Forward projection is first exploited to locate the current video object with rough boundary information. Watershed segmentation is then applied to the simplified gradient image of the current frame to obtain a reasonable partition. An improved backward projection, which incorporates pixel classification with region classification, is finally performed on some segmented regions in a rather small search range, and the tracking performance is enhanced in respect of both reliability and efficiency. Experimental results for various types of the MPEG-4 test sequences demonstrate an efficient and faithful segmentation performance of the proposed approach. © Springer-Verlag Berlin Heidelberg 2004.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

Fuzzy evidence theoretic approaches for knowledge discovery in spatial uncertainty data sets 20

Fuzzy evidence theoretic approaches for knowledge discovery ...

引用

20th ISPRS Congress on Technical Commission VII

作者： He, Binbin Fang, Tao Guo, Dazhi Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University No.1954 Huashan Road Shanghai200030 China Department of Environment and Spatial Informatics China University of Mining and Technology Xuzhou JiangSu221008 China

Although uncertainties exist in spatial knowledge discovery, they have not been paid much attention to. In the past years, the most researches of spatial knowledge discovery focused on the methods of data mining and its algorithms. In this paper, uncertainty and its propagation of spatial data are discussed and analysed firstly. Then, uncertainties at various stages of spatial knowledge discovery are briefly analysed, including data selection, data preprocessing, data mining, knowledge representation and uncertain reasoning. Thirdly, a method of spatial knowledge discovery in conjunction with uncertain reasoning by means of fuzzy evidence theory is proposed. Herein, the framework for uncertainty handling in spatial knowledge discovery is constructed, and the fundamental issues include soft discretization of spatial data, fuzzy transformation between quantitative data and qualitative concept, reasoning under uncertainty and uncertain knowledge representation. © 2004 International Society for Photogrammetry and Remote Sensing. All rights reserved.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Edge detection in range images of piled box-like objects

Edge detection in range images of piled box-like objects

引用

International Conference on pattern recognition

作者： D. Katsoulas A. Werber Institute of Pattern Recognition and Image Processing Albert Ludwigs University of Freiburg Freiburg im Breisgau Germany

We present a framework for edge detection in range images acquired by a time of flight laser sensor. Our edge detection approach is inspired by Jiang, X and Bunke, H (Feb., 1999), in the context of which edge detection via scan line approximation with geometric parametric models is performed. The main drawback of this edge detector, namely the scan line over-segmentation problem is addressed by the introduction of a simple merging step. In addition, we incorporate a method for detection of the noisy data points created by the effect of laser beam splitting between surfaces of different ranges. Finally, a procedure for fine localization of the edge points is introduced. Experimental results on a variety of target object configurations demonstrate that our edge detection framework exhibits increased robustness and accuracy with regard to Jiang, X and Bunke, H (Feb., 1999). These characteristics in combination with the computational efficiency of our approach, allows for its usage as a component of a real time system for automatic unloading of piled box-like objects.

关键词： image edge detection Laser modes image sensors Parametric statistics Detectors Merging Optical beam splitting Surface emitting lasers Robustness Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

Initial estimates for robotic hand-eye calibration

Initial estimates for robotic hand-eye calibration

引用

International Workshop on Robot Sensing (ROSE)

作者： Hong-Jian Liu Fan-Huai Shi Yun-Cai Liu Yi Luo Institute of Image Processing & Pattern Recognition Shanghai Jiao Tong University Shanghai People's Republic of China

ISBN: (纸本)078038296X

An initial estimates method for calibration of a robotic hand-eye relationship is presented in the paper. Classical methods mainly concentrate on solving the basic equation AX=XB, where X is the unknown sensor position relative to the robot hand, A is the robot motion, B is the camera motion. In optimizing process of solving the equation, initial values are needed. Unsuitable initial values often lead to a big error. The proposed method has a large advantage on getting a fine initial value, which can avoid errors introduced by experience effective. Real experiments have been used to test the proposed method and good results have been obtained.

关键词： Calibration Robot kinematics Robot vision systems Cameras Equations Robot sensing systems Robotics and automation Iterative algorithms pattern recognition Robot motion

来源：评论

学校读者我要写书评

暂无评论

On 3D mosaicing of rotationally symmetric ceramic fragments

On 3D mosaicing of rotationally symmetric ceramic fragments

引用

International Conference on pattern recognition

作者： M. Kampel R. Sablatnig Institute of Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

A major obstacle to the wider use of 3D object reconstruction and modeling is the extent of manual intervention needed. Such interventions are currently massive and exist throughout every phase of a 3D reconstruction project: collection of images, image management, establishment of sensor position and image orientation, extracting the geometric detail describing an object, merging geometric, texture and semantic data. This work aims to develop a solution for automated documentation of archaeological pottery, which also leads to a more complete 3D model out of multiple fragments. Generally the 3D reconstruction of arbitrary objects from their fragments can be regarded as a 3D puzzle. In order to solve it we identified the following main tasks: 3D data acquisition, orientation of the object, classification of the object and reconstruction. We demonstrate the method and give results on synthetic and real data.

关键词： Ceramics image reconstruction pattern recognition Assembly Surface cracks Surface reconstruction Automation image processing Manuals Project management

来源：评论

学校读者我要写书评

暂无评论

Blurred image recognition based on complex moment invariants

Blurred image recognition based on complex moment invariants

引用

IEEE International Conference on image processing

作者： Zhang Tianxu Liu Jin Institute for Pattern Recognition and Artificial Intelligence Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology China Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology China

ISBN: (纸本)0780385543

An important class of radiometric degradations we are faced with often in practice is image blurring. Special attention is paid to the recognition of the blurred image by moment invariant approach. Some important rules of complex moments for the blurred image are presented. Based on these rules, a useful subset of moment invariants is introduced, that are not affected by the blur, rotation, scale, and translation of the images. The experiments have shown that these invariants can be successfully used in recognition of the blurred image.

关键词： image recognition Layout Convolution Radiometry Character recognition Target recognition Computer vision Biomedical imaging Degradation Cameras

来源：评论

学校读者我要写书评

暂无评论

Improved genetic algorithms for optimal design of drainage systems

Improved genetic algorithms for optimal design of drainage s...

引用

8th International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Peng, Wen-Xiang Jia, Rong Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University 1954 Huashan Road Shanghai 200030 China Institute of Water Resources and Hydro-Electric Engineering Xi'an University of Technology 5 South Jinhua Road Xi'an 710048 China

ISBN: (纸本)0780386531

The optimization of existing sewer systems or making new systems is and will remain one of the key issues in drainage management in our society. The problem consists of minimization of a nonlinear cost function subjected to nonlinear constraints. To overcome the difficulties of the optimization of drainage systems, in this paper, an Elitist Adaptive Genetic Algorithm (EAGA) for pipe optimization has been developed, by integrating Elitist Genetic Algorithm (EGA) with Adaptive Genetic Algorithm (AGA). We compare the performance of the EAGA with that of EGA and AGA in optimizing sewer systems. The EAGA converges to the global optimum in far fewer generations than the EGA and AGA. We believe that the EAGA is the first step in realizing a class of self-organizing Genetic Algorithms (GAs) capable of adapting themselves in locating the global optimum in drainage systems. © 2004 IEEE.

关键词： Drainage

来源：评论

学校读者我要写书评

暂无评论

image denoising using wavelet and support vector regression

Image denoising using wavelet and support vector regression

引用

International Conference on image and Graphics (ICIG)

作者： Hui Cheng Qiuze Yu Jinwen Tian Jian Liu Institute for Pattern Recognition and Aritificial Intelligence Key Laboratory of Education Ministry for Image Processing & Intelligence Control Huazhong University of Science and Technology Wuhan China

Wavelet image denoising has been well acknowledged as an important method of denoising in image processing. This paper describers a new method for the suppression of noise in image by fusing the wavelet denoising technique with support vector regression (SVR). Based on the least squares support vector machine (LS-SVM), a new denoising operators used in the wavelet domain are obtained. Simulated noise images are used to evaluate the denoising performance of the proposed algorithm along with the other wavelet-based denoising algorithm. Experimental results show that the proposed denoising method outperforms standard wavelet denoising techniques in terms of the signal-to-noise ratio and the prevented edge information in most cases. It also achieves better performance than the median filter.

关键词： image denoising Noise reduction Support vector machines Wavelet domain Wavelet transforms Wavelet analysis Support vector machine classification Wavelet coefficients Artificial intelligence image processing

来源：评论

学校读者我要写书评

暂无评论

Kernel-bandwidth adaptation for tracking object changing in size

引用

1st International Conference on image Analysis and recognition, ICIAR 2004

作者： Peng, Ning-Song Yang, Jie Chen, Jia-Xin Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University P.O. Box 104 1954 Huashan Road Shanghai200030 China Institute of Electronic and Information Henan University of Science and Technology Luoyang471039 China

ISBN: (纸本)3540232400

In the case of tracking object changing in size, traditional mean-shift based algorithm always leads to poor localization owing to its unchanged kernel-bandwidth. To overcome this limitation, a novel kernel-bandwidth adaptation method is proposed where object affine model is employed to describe scaling problem. With the registration of object centroid in consecutive frames by backward tracking, scaling magnitude in the affine model can be estimated with more accuracy. Therefore, kernel-bandwidth is updated with respect to the scaling magnitude so as to keep up with variety of object size. We have applied the proposed method to track vehicles changing in size with encouraging results. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Bandwidth

来源：评论

学校读者我要写书评

暂无评论

An SVM-based small target segmentation and clustering approach

An SVM-based small target segmentation and clustering approa...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Sheng Zheng Jian Liu Jin-Wen Tian State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)0780384032

Segmentation and clustering of infrared small target images in a sky or sea-sky background is considered in this paper, which is the preprocessing part of the detection and recognition of the moving small targets in an infrared image sequence. The infrared image intensity surface is well fitted by the least squares support vector machines (LS-SVM), and then the maximum extremum points are detected on the well fitted intensity surface by convolving the image with the second order directional derivative operators deduced from the mapped LS-SVM with mixtures of kernels. With the coarse locations, the possible targets are extracted by the clustering analysis. The computer experiments are carried out for the real and simulated sky and sea-sky infrared images. The experimental results demonstrate the proposed approach is effective.

关键词： Infrared detectors Infrared imaging image segmentation Sea surface image recognition Target recognition image sequences Least squares methods Support vector machines Kernel

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：