检索结果-内蒙古大学图书馆

World Congress on Intelligent Control and Automation (WCICA)

作者： Shuhan Shen Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

A novel evolutionary algorithm called probability evolutionary algorithm (PEA) is proposed, which is inspired by the quantum computation and quantum-inspired evolutionary algorithm (QEA). The individual in PEA is encoded by a probabilistic superposed bit which can represent a linear superposition of the states 0 to k (k ges 1). The observing step is used in PEA to obtain the observed individual, and the update method is used to evolve the population. The function optimization and 0-k knapsack problem experiments show that PEA has apparent superior in application area, searching capability and computation time compared with QEA and canonical genetic algorithm (CGA).

关键词： Probabilistic logic Evolutionary computation Optimization Quantum computing Encoding Genetic algorithms Convergence

来源：评论

学校读者我要写书评

暂无评论

Age Estimation Robust to Expression Variations

Age Estimation Robust to Expression Variations

引用

International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce

作者： Li Lu Ziyi Xu Yuan Hu Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

In this paper, we present a novel age estimation method that is able to deal with varying face expressions. We construct two efficient descriptors for face appearance which are robust to expression variations. One is termed as Proportion Descriptor constructed by proportion indices based on facial geometric features, the other is termed as Local Descriptor based on local facial texture features extracted by Modular Principle Component Analysis (MPCA). We set up experiments for evaluating the performance of the two facial descriptors in the presence of facial expressions.

关键词： Robustness Face detection Aging image texture analysis Eyes Principal component analysis Lighting image analysis Performance analysis Nose

来源：评论

学校读者我要写书评

暂无评论

Extracting key postures in a human action video sequence

Extracting key postures in a human action video sequence

引用

2008 IEEE 10th Workshop on Multimedia Signal processing, MMSP 2008

作者： Chen, Yan Wu, Qiang He, Xiangjian Du, Chunhua Yang, Jie Falculty of Information Technology University of Technology Sydney PO Box 123 Broadway NSW 2007 Australia Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424422951

Human key posture extraction from videos will benefit video storage, video retrieval, human action recognition, human behaviour understanding and so on. This paper presents an approach to select key postures from human action sequences using 2D information. There are two steps in the proposed method. Information measurement which is a kind of global feature of a frame is used to roughly find key posture candidates. Then, a body skeleton feature which is a kind of local feature is applied to select final key postures from the candidates obtained in the first step. The experiments show that the proposed method is efficient. © 2008 IEEE.

关键词： Behavioral research

来源：评论

学校读者我要写书评

暂无评论

A Modified Greedy Distance Routing Algorithm for Wireless Sensor Networks

A Modified Greedy Distance Routing Algorithm for Wireless Se...

引用

China-Japan Joint Microwave Conference

作者： Q. Q. Shi H. Huo T. Fang D. R. Li Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781424438211

Geographic routing protocols for wireless sensor networks (WSNs) have received more attentions in recent years and greedy forwarding algorithm is a main component in geographic routing. In this paper, we investigate the forwarding criterions in greedy forwarding algorithms and present a greedy routing algorithm using a new criterion combining the characteristics of both distance-based criterion and direction-based criterion. Simulation is provided to compare the performance of our algorithm with those of the algorithm with distance-based criterion and the algorithm with direction-based criterion. The results show that our proposed algorithm is a preferred option in terms of the trade-off between transformation delay and energy consumption in the routing.

关键词： Wireless sensor networks Routing protocols image processing pattern recognition Euclidean distance Joining processes Delay Energy consumption Network topology Computer architecture

来源：评论

学校读者我要写书评

暂无评论

On Determining the Projected Sphere Center and Its Application in Optical Tracking Systems

On Determining the Projected Sphere Center and Its Applicati...

引用

International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Yinqiang Zheng Yuncai Liu Image Processing and Pattern Recognition Institute Shanghai Jiaotong University Shanghai China

In this article, we explain why and how to identify the projected sphere center, i.e. the projection of the sphere center, in passive-mode based optical tracking systems using infrared reflective spheres as markers. We first present the algebraic representation of the 'deviation', defined by their Euclidian distance in the image coordinate system, between the projected sphere center and the center of the elliptical contour of the sphere's image, and show that the common approximation to substitute the later for the former is not always appropriate in terms of accuracy. Then, we give the projective equation of a sphere in matrix form, thus paving the way for the linear estimation of the projected sphere center. Sufficient experiments indicate that this proposed method enlarges the manipulating volume of the optical tracking system and improves the precision of locating surgical instruments.

关键词： Surgical instruments Biomedical optical imaging Cameras Surgery Matrices Calibration Nonlinear equations Biomedical engineering Biomedical informatics image processing

来源：评论

学校读者我要写书评

暂无评论

Multi-scale Nonlinear Contrast Enhancement of Radiographies Based on Human Contrast Sensitivity

Multi-scale Nonlinear Contrast Enhancement of Radiographies ...

引用

2008 5th International Conference on Visual Information Engineering (VIE 2008)

作者： Min Zhang Xuanqin Mou Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an Shaanxi China

Medical imaging techniques like computed/digital radiography (CR/DR) have introduced a formidably powerful tool in medicine. image enhancement takes an important roll in the CR/DR computerized analysis process. Much effort has been put into the area of image enhancement. However, conventional multi-scale methods have the drawback of the introduction of severe visible artifacts while large structures are enhanced strongly. This paper presents a nonlinear multi-scale medical image contrast enhancement method for the improvement of medical image quality. More specifically, a novel nonlinear enhancement function is proposed incorporated with human visual local perceptual contrast. The proposed work provides the advantages of enhancing or preserving image contrast while suppressing visible artifacts. To quantitatively compare the performance of the proposed method, the average local variances are used as comparison criteria. Results demonstrate the superiority of the proposed method. Our results show that the proposed method has the potential to become useful for improvement of image quality of medical images.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Nonlinear multi-scale contrast enhancement for chest radiograph

Nonlinear multi-scale contrast enhancement for chest radiogr...

引用

IEEE International Conference on image processing

作者： Xuanqin Mou Min Zhang Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an Shaanxi China

Recently, extensive research and application on contrast enhancement of radiographs based on multi-scale decomposition of the images have validated its higher performance than regular techniques. However, to some extent, conventional multi-scale methods suffered from the introduction of visible artifacts. In this work, we present an algorithm for nonlinear chest radiograph contrast enhancement algorithm within the multi-scale decomposition architecture in spatial domain. In particular, one kind of nonlinear enhancement function is designed by exploiting local contrast information. The main contribution of this model is the local adaptive enhancement ability, which can avoid visible artifacts, while keeping the same detail enhancement ability. In the meantime, no excessive noise is amplified, comparing to conventional methods. Finally, an evaluation using a chest image is provided to demonstrate the effectiveness of the proposed algorithm.

关键词： Computer architecture Diagnostic radiography Humans Rendering (computer graphics) Band pass filters X-ray imaging Kernel image processing pattern recognition Cardiology

来源：评论

学校读者我要写书评

暂无评论

A psychovisual image Quality Metric based on multi-scale Structure Similarity

A psychovisual image Quality Metric based on multi-scale Str...

引用

IEEE International Conference on image processing

作者： Min Zhang Xuanqin Mou Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an Shaanxi China

In this paper, a universal full-reference (FR) image quality metric based on Edge structure similarity (QMESS) is proposed using spatial position displacement degree of wavelet transform modulus maxima between reference image and distorted image in multi-resolution domain. Firstly, we decompose images in wavelet domain. The structure error between reference images and distorted images is computed based on the statistics of spatial position error of local modulus maxima in wavelet domain. At the same time, peak signal to noise ratio (PSNR) is adopted to evaluate the stochastic noise in images. Finally, the low frequency resolution layer distortion is evaluated by means of the mutual information and the luminance distortion. The three components are combined for the whole visual distortion measurement. From the experiment results, the proposed metric is much better than conventional PSNR method and the state-of-the-art SSIM approach in terms of the performance relative to subjective judgment. Comparing to the excellent VIF method, the proposed method performs better in individual distortions and obtains similar results on cross-distortion type.

关键词： Psychology image quality PSNR Wavelet domain Wavelet transforms Error analysis Stochastic resonance Low-frequency noise Frequency Spatial resolution

来源：评论

学校读者我要写书评

暂无评论

Extraction of complex wavelet features for iris recognition

Extraction of complex wavelet features for iris recognition

引用

作者： He, Xiaofu Shi, Pengfei Department of Computer Science and Technology East China Normal University Shanghai 200241 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424421756

This paper presents a new feature extraction method for iris recognition. Since two dimensional complex wavelet transform (2D-CWT) does not only keep wavelet transform's properties of multiresolution decomposition analysis and perfect reconstruction, but also adds its new merits: approximate shift invariance, good directional selectivity for 2-D image, and limited redundancy, which are useful for iris feature extraction. So, a set of high frequency 2D-CWT coefficients are selected as features for iris recognition. The phase information of the coefficients is used for feature encoding and Hamming distance is adopted for classification. Experimental results show that the proposed algorithm can get good recognition rate. © 2008 IEEE.

关键词： Hamming distance

来源：评论

学校读者我要写书评

暂无评论

A Closed Form Solution to Segment 3D Motion Using Straight-line Optical Flow

引用

Journal of Shanghai Jiaotong university(Science) 2008年第1期13卷 76-80页

作者：张婧石繁槐马文娟刘允才 Institute Image Processing and Pattern Recognition Shanghai Jiaotong University School of Materials Science and Engineering Shanghai Jiaotong University

A closed form solution to the problem of segmenting multiple 3D motion models was proposed from straight-line optical flow. It introduced the multibody line optical flow constraint (MLOFC), a polynomial equation relating motion models and line parameters. The motion models can be obtained analytically as the derivative of the MLOFC at the corresponding line measurement, without knowing the motion model associated with that line. Experiments on real and synthetic sequences were also presented.

关键词： segmentation optical flow line generalized principal component analysis （GPCA）

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：