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检索条件"机构=Institute of Image Processing & Pattern Recognition"

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A New image Quality Approach Based on Decision Fusion

A New Image Quality Approach Based on Decision Fusion

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Mingna Liu Xin Yang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

image quality evaluation is becoming essential in many image processing problems. This paper proposes a new image quality evaluation approach based on decision fusion method of canonical correlation analysis (CCA). By exploring several diverse visual models, we constructed a comprehensive quality metric which can deal with complicated image distortion problem with increasing accuracy and robustness. Validation by comparing the proposed metric against other image quality metrics (IQMs) demonstrates that its fidelity prediction performs better across wide distortion range and types.

关键词： image quality image processing Robustness image databases image analysis Testing Spatial databases Visual databases Accuracy Fuzzy systems

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A Novel Approach to Forecast Weakly Regular Traffic Status

A Novel Approach to Forecast Weakly Regular Traffic Status

引用

International Conference on Intelligent Transportation

作者： Yang Zhang Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

How to accurately predict traffic data with weak regularity is difficult for various forecasting models. In this paper, least squares support vector machines (LS-SVMs) are proposed to deal with such a problem. It is the first time to apply the technique and analyze the forecast performance in the field. For comparison purpose, other three baseline predictors are selected because of their effectiveness proved in past research. Having good generalization ability and guaranteeing global minima, LS-SVMs perform better than the others. Providing sufficient improvement in stability and robustness reveals that the approach is practically promising.

关键词： Traffic control Telecommunication traffic Intelligent transportation systems Predictive models Least squares methods Support vector machines Performance analysis Quadratic programming Training data Robust stability

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Probability Evolutionary Algorithm based human motion tracking using voxel data

Probability Evolutionary Algorithm based human motion tracki...

引用

Congress on Evolutionary Computation

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

A novel evolutionary algorithm called probability evolutionary algorithm (PEA), and a method based on PEA for visual tracking of human body using voxel data are presented. PEA is inspired by the quantum computation and the quantum-inspired evolutionary algorithm, and it has a good balance between exploration and exploitation with very fast computation speed. The individual in PEA is encoded by the probabilistic compound bit, defined as the smallest unit of information, for the probabilistic representation. The observation step is used in PEA to obtain the observed states of the individual, and the update operator is used to evolve the individual. In the PEA based human tracking framework, tracking is considered to be a function optimization problem, so the aim is to optimize the matching function between the model and the image observation. Since the matching function is a very complex function in high-dimensional space, PEA is used to optimize it. Experiments on 3D human motion tracking using voxel data demonstrate the effectiveness, significance and computation efficiency of the proposed human tracking method.

关键词： Humans Tracking Probabilistic logic Three dimensional displays Evolutionary computation Solid modeling Computational modeling

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A hybrid approach to gender classification from face images

A hybrid approach to gender classification from face images

引用

International Conference on pattern recognition

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

ISBN: (纸本)9781424421749

Recently, gender classification from face images has attracted a great deal of attention. It can be useful in many places. In this paper, a novel hybrid face coding method by fusing appearance features and geometry features is presented. We choose Haar wavelets to represent the appearance features and use AdaBoost algorithm to select stronger features. Geometry features are regarded as apriori knowledge to help improve the classification performance. In this work, active appearance model (AAM) locates 83 landmarks, Thus we can get 3403 geometry features, from which 10 most significant features are picked, normalized and fused with the appearance features. Experimental results show the effectiveness and robustness of the proposed approach regarding expression, illumination and pose variation in some degree.

关键词： Geometry Feature extraction Face Active appearance model Nose Data mining image processing pattern recognition image coding Robustness

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Integrating camera calibration and hand-eye calibration into robot vision

Integrating camera calibration and hand-eye calibration into...

引用

World Congress on Intelligent Control and Automation (WCICA)

作者： Zijian Zhao Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

In conventional techniques of robot vision system calibration, camera parameters and robot hand-eye parameters are computed separately, i.e., first performing camera calibration and then carrying out hand-eye calibration based on the calibrated parameters of the cameras. In this paper, we propose a joint algorithm that combines the camera calibration and the hand-eye calibration together. The proposed algorithm gives the solutions of the cameraspsila parameters and the hand-eye parameters simultaneously by using nonlinear optimization. Both simulations and real experiments show the superiority of our algorithm.

关键词： Cameras Calibration Robot vision systems Robots Robot kinematics Mathematical model Three dimensional displays

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An Efficient Multiple Faces Tracking System

An Efficient Multiple Faces Tracking System

引用

Congress on image and Signal processing, CISP

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

A multiple faces tracking system was presented based on Relevance Vector Machine (RVM) and Boosting learning. In this system, a face detector based on Boosting learning is used to detect faces at the first frame, and the face motion model and color model are created. In the tracking process different tracking methods are used according to different states of faces, and the states are changed according to the tracking results. When the full image search condition is satisfied, a full image search is started in order to find new coming faces and former occluded faces. In the full image search and local search, the similarity matrix is introduced to help matching faces efficiently. Experimental results demonstrate the capability and efficiency of the proposed system.

关键词： Face detection Target tracking Boosting Support vector machines Support vector machine classification image databases Motion detection Detectors Facial features Signal processing

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Another way of looking at monocular circle pose estimation

Another way of looking at monocular circle pose estimation

引用

IEEE International Conference on image processing

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

It is well known that there are generally two possible sets of pose parameters from one calibrated perspective view of a circle. What is the relation between these two possible sets? Where does this ambiguity arise from? In which case can this ambiguity be resolved? Considering these questions, we suggest a novel viewpoint toward circle pose estimation from a single view. Different from existing methods on the basis of analytical geometry, we originally develop the projective equation of a circle, based on which a closed form solution is developed and a brand new geometric explanation for the ambiguity of solutions is presented. Experimental results verify the correctness of our proposed method.

关键词： Cameras Transmission line matrix methods Geometry Closed-form solution Parameter estimation image processing pattern recognition Differential equations Computer vision Navigation

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A novel fragments-based tracking algorithm using mean shift

A novel fragments-based tracking algorithm using mean shift

引用

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

作者： Fanglin Wang Shengyang Yu Jie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

Multiple image fragments have been used to represent the target for tracking in a video sequence. It is proved to be able to maintain spatial information of the target. In this paper, following the idea that represents the target with multiple image fragments, we propose a framework that can efficiently combine multiple spatially distributed fragment histograms for robust tracking. The framework ranks the importance of each fragment adaptively, which can increase the robustness to partial occlusions and pose variation. We derive a mean shift type algorithm for the framework that allows efficient target tracking with very low computational overhead. Extensive experiments on challenging real video sequences clearly demonstrate the benefits of our tracker.

关键词： Target tracking Histograms Robustness Video sequences Robotics and automation Automatic control Robot control Robot vision systems image processing pattern recognition

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Probability evolutionary algorithm for functional and combinatorial optimization

Probability evolutionary algorithm for functional and combin...

引用

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

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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

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