检索结果-内蒙古大学图书馆

International Conference on pattern recognition

作者： Tiesheng Wang Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0769525210

An efficient framework utilizing both local features and geometrical distribution for detecting facial components is presented. First, candidate facial components are efficiently collected by cascaded boosting of Haar-like features. The candidates may include false positives and multiple detections. Then, geometrical distribution of facial components is imposed on the candidates to select the optimal configuration. For simplicity, we suppose full dependence between the components and model it with multivariate Gaussian. The effectiveness of the framework is evaluated with experiments

关键词： Face detection Boosting pattern recognition image processing Humans Eyes Mouth Nose Shape Face recognition

来源：评论

学校读者我要写书评

暂无评论

Model of car-following with adaptive headway

引用

Journal of Shanghai Jiaotong University (Science) 2006年第3期11 E卷 394-398页

作者： Li, Zhi-Peng Liu, Yun-Cai Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200240 China

The performances of a well-known GHR car-following model was investigated by using numerical simulations in describing the acceleration and deceleration process induced by the motion of a leading car. It is shown that in GHR model vehicle is allowed to run arbitrarily close together if their speed are identical , and it waves aside even though the separation is larger than its desired distance. Based on these investigations, a modified GHR model which features a new nonlinear term which attempts to adjust the inter-vehicle spacing to a certain desired value was proposed accordingly to overcome these deficiencies. In addition, the analysis of the additive nonlinear term and steady-state flow of the new model were studied to prove its rationality.

关键词： Street traffic control

来源：评论

学校读者我要写书评

暂无评论

A Model of Car-Following with Adaptive Headway

引用

Journal of Shanghai Jiaotong university(Science) 2006年第3期11卷 394-398页

作者：李志鹏刘允才 Inst.of Image Processing and Pattern Recognition Shanghai Jiaotong Univ.Shanghai 200240China

The performances of a well-known GHR car-following model was investigated by using numerical simulations in describing the acceleration and deceleration process induced by the motion of a leading car. It is shown that in GHR model vehicle is allowed to run arbitrarily close together if their speed are identical,and it waves aside even though the separation is larger than its desired distance. Based on these investigations, a modified GHR model which features a new nonlinear term which attempts to adjust the inter-vehicle spacing to a certain desired value was proposed accordingly to overcome these deficiencies. In addition, the analysis of the additive nonlinear term and steady-state flow of the new model were studied to prove its rationality.

关键词： car-following models inter-vehicle spacing traffic flow steady-state

来源：评论

学校读者我要写书评

暂无评论

Dynamical Model of Traffic Congestion with the Consideration of the Next-nearest- neighbor Interaction

Dynamical Model of Traffic Congestion with the Consideration...

引用

World Congress on Intelligent Control and Automation (WCICA)

作者： Zhipeng Li Xiaobo Gong Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

By introducing the velocity difference between the preceding car and the car before the preceding one into the optimal velocity model (OVM), we present an extended dynamical model which takes into account the next-nearest-neighbor interaction. The stability condition of this model is derived by considering a small perturbation around the uniform flow solution with finding that traffic congestion is suppressed efficiently by incorporating the effect of new consideration. Then we investigate the property of the model using numerical methods. The results indicate that the next-nearest-neighbor interaction has important impacts on the coexisting flow, the relation between flow and density, and the propagation speed of small disturbance (PSSD). In addition, we have a try to further enhance the stability of traffic flow by introducing the relative velocity of an arbitrary number of cars in front, but the analysis of linear stability shows it is poor for our purpose

关键词： Traffic control Stability analysis Vehicle dynamics Difference equations image processing pattern recognition Numerical models Transportation Physics Mathematical model

来源：评论

学校读者我要写书评

暂无评论

Using descriptive image features for global localization of mobile robots

Using descriptive image features for global localization of ...

引用

19. Fachgesprach Autonome Mobile Systeme, AMS 2005 - 19th Expert Discussion on Autonomous Mobile Systems, AMS 2005

作者： Tamimi, Hashem Halawani, Alaa Burkhardt, Hans Zell, Andreas Computer Science Dept. University of Tübingen Sand 1 72076 Tübingen Germany Albert-Ludwigs-University of Freiburg Department of Pattern Recognition and Image Processing 79110 Freiburg Germany

ISBN: (纸本)3540302913

In this paper descriptive visual features based on integral invariants are proposed to solve the global localization of indoor mobile robots. These descriptive features are locally extracted by applying a set of non-linear kernel functions around a set ofinterest points in the image. To investigate the approach thoroughly, we use a set of images taken by re-assigning the robot position many times near a set of reference locations. Also, the presence of illumination variations is encountered many times inthe images. Compared to a well-known approach, our approach has better localization rate with moderate computational overhead.

关键词： Mobile robots

来源：评论

学校读者我要写书评

暂无评论

Evaluating Hierarchical Graph-based Segmentation

Evaluating Hierarchical Graph-based Segmentation

引用

International Conference on pattern recognition

作者： Y. Haxhimusa A. Ion W.G. Kropatsch Faculty of Informatics Pattern Recognition and Image Processing Group University of Technology Vienna Austria

Using real world images, two hierarchical graph-based segmentation methods are evaluated with respect to segmentations produced by humans. Global and local consistency measures do not show big differences between the two representative methods although human visual inspection of the results show advantages for one method. To a certain extent this subjective impression is captured by the new criteria of 'region size variation'

关键词： image segmentation Humans pattern recognition Inspection Tree graphs Informatics image processing Bridges Brightness Pixel

来源：评论

学校读者我要写书评

暂无评论

An Efficient Face recognition System Using a New Optimized Localization Method

An Efficient Face Recognition System Using a New Optimized L...

引用

International Conference on pattern recognition

作者： H.R. Kanan K. Faez M. Ezoji Image Processing and Pattern Recognition Laboratory Electrical Engineering Department Amirkabir University of Technology슠 Tehran Iran

In this paper a system is developed for face recognition processes. Preprocessing and face localization is necessary to obtain a high classification rate in face recognition tasks. In this study after preprocessing of face images, for omitting the redundant information such as background and hair, the oval shape of face is approximated by an ellipse using shape information. Then the parameters (orientation and center coordinates) of this ellipse are optimized using genetic algorithm (GA). High order pseudo Zernike moment invariant (PZMI) which has useful properties is utilized to produce feature vectors. Also radial basis function neural network (RBFNN) with HLA learning rule has been used as a classifier. Simulation results on ORL database indicate that the error rate of proposed system which uses genetic algorithm for optimizing the face localization step is lower than an older system which described in (H. Haddadnia et al., 2003)

关键词： Face recognition Optimization methods Face detection Shape Genetic algorithms pattern recognition image processing Neural networks Feature extraction Hair

来源：评论

学校读者我要写书评

暂无评论

Low complexity reconfigurable architecture for the 5/3 and 9/7 discrete wavelet transform

引用

Journal of Systems Engineering and Electronics 2006年第2期17卷 303-308页

作者： Xiong Cheng yi Tian Jinwen Liu Jian Coll. of Electronic Information Engineering South Center Univ. for Nationalities Wuhan 430074 P.R. China Inst. of Pattern Recognition & Artificial Intelligence Key Lab. of Education Ministry for Image Processing and Intelligent Control Huazhong Univ. of Science & Technology Wuhan 430074 P.R. China

Efficient reconfigurable VLSI architecture for 1-D 5/3 and 9/7 wavelet transforms adopted in JPEG2000 proposal, based on lifting scheme is proposed. The embedded decimation technique based on fold and time multiplexing, as well as embedded boundary data extension technique, is adopted to optimize the design of the architecture. These reduce significantly the required numbers of the multipliers, adders and registers, as well as the amount of accessing external memory, and lead to decrease efficiently the hardware cost and power consumption of the design. The architecture is designed to generate an output per clock cycle, and the detailed component and the approximation of the input signal are available alternately. Experimental simulation and comparison results are presented, which demonstrate that the proposed architecture has lower hardware complexity, thus it is adapted for embedded applications. The presented architecture is simple, regular and scalable, and well suited for VLSI implementation.

关键词： VLSI discrete wavelet transform lifting scheme embedded decimation reeonfigurable.

来源：评论

学校读者我要写书评

暂无评论

KICA Feature Extraction in Application to FNN based image Registration

KICA Feature Extraction in Application to FNN based Image Re...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Anbang Xu Xin Jin Ping Guo R. Bie Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China

In this paper, a novel image registration method is proposed. In the proposed method, kernel independent component analysis (KICA) is applied to extract features from the image sets, and these features are input vectors of feedforward neural networks (FNN). Neural network outputs are those translation, rotation and scaling parameters with respect to reference and observed image sets. Comparative experiments are performed between KICA based method and other six feature extraction based method: principal component analysis (PCA), independent component analysis (ICA), kernel principal component analysis (KPCA), the discrete cosine transform (DCT), Zernike moment and the complete isometric mapping (Isomap). The results show that the proposed method is much improved not only at accuracy but also remarkably at robust to noise.

关键词： Feature extraction image registration Neural networks Discrete cosine transforms Independent component analysis Kernel Principal component analysis Feedforward neural networks Intelligent robots Registers

来源：评论

学校读者我要写书评

暂无评论

Using machine vision for observation of phenomena during laser hybrid welding

Using machine vision for observation of phenomena during las...

引用

ICALEO 2006 - 25th International Congress on Applications of Laser and Electro-Optics

作者： Fellman, Anna Fennander, Henri Salminen, Antti Kyrki, Ville Lappeenranta University of Technology Department of Mechanical Engineering Laser Processing Laboratory Lappeenranta Finland Lappeenranta University of Technology Department of Information Technology Machine Vision and Pattern Recognition Research Group

Laser hybrid welding process is widely studied today, with many research groups trying to clarify the phenomena during the process. Many of the changes occurring during laser hybrid welding process can be observed with the help of high speed imaging. The high speed of the droplet formation and their movement to the melt pool set strict requirements for the imaging frequency in order to provide reliable information about the process. Because of large number of images produced by the high-speed (over 1000 Hz) imaging, it is time-consuming, error-prone, and frustrating to inspect the process manually, using only the human eyes for the observation. These problems could be alleviated by an automated system for the observation. This paper presents an off-line machine vision system created and used to study videos of CO2 laser-MAG hybrid welding experiments in which welding parameters were changed one at a time. The quality of the welds was observed by visual and macrographic examination. In the study, the regularity of pulse frequency of the arc and direction of filler material droplet flight were measured with the help of machine vision. Due to stable nature of keyhole welding part of the process, these characteristics show the stability of the whole welding process. It was found out that the automatic observation can be used if the quality of the images remains good enough. Experimentally, the inspection system provided information that the welding parameters have an effect on direction of droplet movement. This kind of automatic observation of changes in the process could provide a valuable tool for process optimization. The gathered information can be utilized in achieving an optimized process giving the best possible productivity.

关键词： Computer vision

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：