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Research of Acquisition Method for Pavement Surface Texture Based on Photometric Stereo Techniques

Research of Acquisition Method for Pavement Surface Texture ...

17th International IEEE Conference on intelligent Transportation Systems & The Asia-Pacific Council on Systems Engineering Conference 2014

作者： Jinyu Lei Enjun Wang Juan Zeng Weifeng Wang Jianbo Wu Intelligent Transportation Systems Research Center Wuhan University of Technology Transportation Research Center Wuhan Institute of Technology Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology engineer at Jiangsu Province Communications Planning and Design Institute Company engineer at Jiangsu Power Transmission and Transformation Corporation

A 3D reconstruction technique was applied to acquire pavement surface texture since the traditional method can’t achieve the balance between accuracy and *** this study,a simple pavement texture detection platform consisting of a camera,lighted sources and tripod was developed basing on four sources photometric stereo *** the pictures captured by detection platform were analyzed by least square method to extract the normals of points in the pavement *** these normals were calculated,they were used to recover surface heights of pavements by tangent plane *** experimental result shows that the 3D model of asphalt pavement recovered by photometric stereo technique is efficiency to reveal the pavement surface topography both in macro-scale and micro-scale.

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AN IMPROVED MODAL ANALYSIS FOR THREE-DIMENSIONAL PROBLEMS USING FACE-BASED SMOOTHED FINITE ELEMENT METHOD

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Acta Mechanica Solida Sinica 2013年第2期26卷 140-150页

作者： Zhicheng He Guangyao Li Zhihua Zhong Aiguo Cheng Guiyong Zhang Eric Li State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Intelligent Systems for Medicine Laboratory School of Mechanical and Chemical EngineeringThe University of Western Australia35 Stirling HighwayCrawley WA 6009Australia Department of Mechanical Engineering National University of Singapore9 Engineering Drive 1117576Singapore

In this work, we further extended the face-based smoothed finite element method （FS-FEM） for modal analysis of three-dimensional solids using four-node tetrahedron elements. The FS-FEM is formulated based on the smoothed Calerkin weak form which employs smoothed strains obtained using the gradient smoothing operation on face-based smoothing domains. This strain smoothing operation can provide softening effect to the system stiffness and make the FSFEM provide more accurate eigenfrequency prediction than the FEM does. Numerical studies have verified this attractive property of FS-FEM as well as its ability and effectiveness on providing reliable eigenfrequency and eigenmode prediction in practical engineering application.

关键词： numerical method meshfree method modal analysis face-based smoothed finiteelement method （FS-FEM）

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A novel robust digital image watermarking using LPM and HVS

A novel robust digital image watermarking using LPM and HVS

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The 2013 3rd International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013)

作者： Qiang Zhang Mingli Zhang Xiaopeng Wei Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Ministry of EducationDalian University

ISBN: (纸本)9780819495587

To resist on general attacks, such as compression, noising and geometric distortion attacks is a common requirement for digital image watermarking or data hiding techniques comparing with rotation, scaling and translation(RST) attacks which are considered to be more challenging. Based on invariant centroid and LPM which is also used to analyze the angle of rotation and ratio of scaling influence after attacks of watermarked image combining with chaotic system and a novel adaptive coefficient α, this paper presents a robust and invisible digital image watermarking technology. The experiment results show that this method has high invisibility and robust, especially withstand RST attacks.

关键词： watermarking LPM α mix-chaotic system invariant centroid

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Facial expression recognition based on adaptive weighted fusion histograms 1

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9th International Conference on intelligent computing, ICIC 2013

作者： Hu, Min Xu, Yanxia Xu, Liangfeng Wang, Xiaohua College of Computer and Information Hefei University of Technology Hefei 230009 China Affective Computing and Advanced Intelligent Machines AnHui Key Laboratory Hefei 230009 China

ISBN: (数字)9783642394829

ISBN: (纸本)9783642394812

In order to improve the performance of expression recognition, this paper proposes a facial expression recognition method based on adaptive weighted fusion histograms. Firstly, the method obtains expression sub-regions by pretreatment, and calculates the contribution maps (CM) of each expression sub-region. Secondly, this method extracts Histograms of Oriented Gradient by the Kirsch operator and extracts histograms of intensity by centralized binary pattern (CBP), then the paper fuses the Histograms by parallel manner and the fused histograms are weighted by CMs. At last, the weighted fused histograms are used to classify by the Euclidean Distance and the nearest neighbor method. Experimental results which are obtained by applying the proposed algorithm and the Gabor wavelet, LBP, LBP+LPP, Local Gabor and AAM on JAFFE face expression dataset show that the proposed method achieves better performance for the face expression recognition. © 2013 Springer-Verlag.

关键词： Graphic methods

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Facial animation based on feature points

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Telkomnika - Indonesian Journal of Electrical Engineering 2013年第3期11卷 1697-1706页

作者： Li, Beibei Zhang, Qiang Zhou, Dongsheng Wei, Xiaopeng Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Liaoning Dalian China

This paper presents a hybrid method for synthesizing natural animation of facial expression with data from motion capture. The captured expression was transferred from the space of source performance to that of a 3D target face using an accurate mapping process in order to realize the reuse of motion data. The transferred animation was then applied to synthesize the expression of the target model through a framework of two-stage deformation. A local deformation technique preliminarily considered a set of neighbor feature points for every vertex and their impact on the vertex. Furthermore, the global deformation was exploited to ensure the smoothness of the whole facial mesh. The experimental results show our hybrid mesh deformation strategy was effective, which could animate different target face without complicated manual efforts required by most of facial animation approaches. © 2013 Universitas Ahmad Dahlan.

关键词： Animation

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Attribute reduction based on approximation dependency degree

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Journal of Computers (Finland) 2013年第4期8卷 920-928页

作者： Li, Min Deng, ShaoBo Feng, Shengzhong Fan, Jianping NanChang Institute of Technology Nanchang Jiangxi 330099 China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong 518055 China Key laboratory of intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

Attribute reduction is one of the core research content of Rough sets theory. Many existing algorithms mainly are aimed at the reduction of consistency decision table, and very little work has been done for attribute reduction aimed at inconsistency decision table. In fact, the methods finding Pawlak reduction from consistent decision table are not suitable for inconsistency decision table. In this paper, we introduce the approximation dependency reduction modal and present the Quick Attribution Reduction based on Approximation Dependency Degree (Quick-ARADD), which can retain the original boundary region and the original positive region unchanged, and keep the approximation accuracy unchanged for all decision equivalence classes (the partition of universe on decision attributes) of a decision table. Theoretical analysis and experimental results show that the Quick-ARADD algorithm is effective and feasible. © 2013 ACADEMY PUBLISHER.

关键词： Decision tables

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Forward non-rigid motion tracking for facial MoCap

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The Visual Computer 2013年第2期30卷 139-157页

作者： Xiaoyong Fang Xiaopeng Wei Qiang Zhang Dongsheng Zhou Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Ministry of Education Dalian China School of Computer and Information Science Hunan Institute of Technology Hengyang China

For the existing motion capture (MoCap) data processing methods, manual interventions are always inevitable, most of which are derived from the data tracking process. This paper addresses the problem of tracking non-rigid 3D facial motions from sequences of raw MoCap data in the presence of noise, outliers and long time missing. We present a novel dynamic spatiotemporal framework to automatically solve the problem. First, based on a 3D facial topological structure, a sophisticated non-rigid motion interpreter (SNRMI) is put forward; together with a dynamic searching scheme, it cannot only track the non-missing data to the maximum extent but recover missing data (it can accurately recover more than five adjacent markers under long time (about 5 seconds) missing) accurately. To rule out wrong tracks of the markers labeled in open structures (such as mouth, eyes), a semantic-based heuristic checking method was raised. Second, since the existing methods have not taken the noise propagation problem into account, a forward processing framework is presented to solve the problem. Another contribution is the proposed method could track facial non-rigid motions automatically and forward, and is believed to greatly reduce even eliminate the requirements of human interventions during the facial MoCap data processing. Experimental results proved the effectiveness, robustness and accuracy of our system.

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Mining Semantic Orientation of Multiword Expression from Chinese Microblogging with Discriminative Latent Model

Mining Semantic Orientation of Multiword Expression from Chi...

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International Conference on Asian Language Processing (IALP)

作者： Xiao Sun Chengcheng Li Chenyi Tang Fuji Ren Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei China

Extracting semantic orientation of Multiword Expression, especially some newly generated Multiword Expression from internet, is an important task for sentiment analysis of web texts or other real word text as some Multiword Expressions can express more integrative sentiments than words units. This paper proposes a method contains a novel latent discriminative algorithm, which attempts to attack this problem by integrating discriminative model and latent value model. Although Chinese Multiword Expressions consist of multiple words, the semantic orientation of the Multiword Expression is not just simple integration of orientations of the component words, as some words can invert the affective orientation so the Multiword Expressions can have totally opposite semantic orientation. In order to capture the property of such Multiword Expressions, hidden semi-CRF which includes a latent valuable layer, which can be used to address dual-sequence labeling tasks synchronously, is adopted. The method is tested experimentally by adopting a manually labeled set of positive and negative Multiword Expressions from microblog or other internet resources, and the experiments have shown very promising results, which is comparable to the best value ever reported.

关键词： Semantics Dictionaries Feature extraction Computational modeling Labeling Tagging Educational institutions

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Application of Hopfield Neural Networks Approach in Solar Energy Product Conceptual design

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Computer Aided Drafting,design and Manufacturing 2013年第2期23卷 48-52页

作者： XIA Zhi-qiu WANG Ling REN Na WEI Xiao-peng ZHANG Qiang ZHAO Ting-ting Department of Computer Science Collage of EngineeringUniversity of Leicester The archives Dalian University Department of Information Engineering Shenyang Institute of Engineering Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education

A new product conceptual design approach is put forward based on Hopfield neural networks models. By research on the mechanisms of Hopfield neural networks, the associative simulation approaches are proposed. The approach is given by Hebb learn- ing law, Hopfield neural networks and crossover and mutation. The calculating models and the calculating formulas for the concep- tual design are put forward. Finally, an example for the conceptual design of a solar energy lamp is given. The better results are ob- tained in the conceptual design.

关键词： Hopfield neural networks conceptual design solar energy

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9th International Conference on intelligent computing, ICIC 2013

作者： Wang, Bing Ji, Zhiwei Advanced Research Institute of Intelligent Sensing Network Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China School of Electronics and Information Engineering Tongji University Shanghai 201804 China

ISBN: (数字)9783642394829

ISBN: (纸本)9783642394812

The development of novel high-throughput experimental techniques makes it possible to comprehensively analyze biological data in health and disease. However, a large amount of data generated results in dramatic data-analytic challenges in discovery of 'signature' molecules, which are specific to different biological conditions (e.g. normal vs. disease, treated vs. untreated). Current statistical methods are effective only in the case their hypothesis can be matched. In this paper, we apply an ensemble statistical method to infer significant molecules. In our approach, four well-done and well-understanding statistical techniques had been used for the analysis to the experimental data, and then the results will be collected into an ensemble framework to find the high confident "significant" molecules which can distinguish the different experimental conditions. We evaluate the performance of our approach on a test dataset which deposited on GEO database with an access number of GSE45114. © 2013 Springer-Verlag.

关键词： Molecules

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