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A novel classifier for handwritten numeral recognition

A novel classifier for handwritten numeral recognition

引用

International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Ying Wen Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China

This paper presents a novel pattern classification approach- a kernel and Bhattacharyya distance based classifier which utilizes the distribution characteristics of the samples in each class. Bhattacharyya distance in the subspace spanned by the eigenvectors which are associated with the smaller eigenvalues in each class is adopted as the classification criterion. The smaller eigenvalues are substituted by a small value threshold in such a way that the classification error in a given database is minimized. Application of the proposed classifier to the issue of handwritten numeral recognition demonstrates that it is promising in practical applications.

关键词： Handwriting recognition Kernel Covariance matrix Eigenvalues and eigenfunctions Principal component analysis pattern classification Databases Gaussian distribution Character recognition pattern recognition

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Deformable surface stereo tracking-by-detection using Second Order Cone Programming.

Deformable surface stereo tracking-by-detection using Second...

引用

International Conference on pattern recognition

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

ISBN: (纸本)9781424421749

We present a method for tracking deformable surfaces in 3D using a stereo rig. Different from traditional recursive tracking approaches that provide a strong prior on the pose for each new frame, the proposed method tracks deformable surfaces by detecting them in individual frames. In our method, the model of the surface is represented by a triangulated mesh. The constraints for model to image keypoint correspondences, together with the constraints that preserve the lengths of mesh edges, are formulated as second order cone programming (SOCP) constraints, leading this tracking-by-detection method to be an SOCP problem that can be effectively solved. Experiments on a piece of deformed paper demonstrate the capability of the proposed tracking-by-detection method.

关键词： image edge detection Deformable models image processing pattern recognition Visual servoing Augmented reality image sequences image reconstruction Shape Layout

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From manual to automated optical recognition of ancient coins

引用

13th International Conference on Virtual Systems and Multimedia, VSMM 2007

作者： Zaharieva, Maia Kampel, Martin Vondrovec, Klaus Vienna University of Technology Pattern Recognition and Image Processing Favoritenstr 9/1832 Vienna A-1040 Austria Museum of Fine Arts Department of Coin and Medals Burgring 5 Vienna A-1010 Austria

ISBN: (纸本)3540785655

Illegal trade and theft of coins appears to be a major part of the illegal antiques market. image based recognition of coins could substantially contribute to fight against it. Central component in the permanent identification and traceability of coins is the underlying classification and identification technology. However, currently available algorithms focus basically on the recognition of modern coins. To date, no optical recognition system for ancient coins has been researched successfully. In this paper, we give an overview over the challenges faced by optical recognition algorithms. Furthermore, we show that image based recognition can assist the manual process of coin classification and identification by restricting the range of possible coins of interest. © 2008 Springer-Verlag Berlin Heidelberg.

关键词： image recognition

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Practical multi-camera calibration algorithm with 1D objects for virtual environments

Practical multi-camera calibration algorithm with 1D objects...

引用

IEEE International Conference on Multimedia and Expo (ICME)

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

A new calibration algorithm for multi-camera systems using the 1D calibration objects is proposed. The algorithm integrates the rank-4 factorization with Zhangpsilas method. The intrinsic parameters as well as the extrinsic parameters are recovered only by capturing with cameras the 1D objectpsilas rotations around a fixed point. The algorithm is based on factorization of the scaled measurement matrix, the projective depths of which is estimated in an analytic equation instead of a recursive form. For the conditions that there are more than 3 points on the 1D object, our algorithm may solve them by extending the scaled measurement matrix. The obtained parameters are finally refined through the maximum likelihood inference. The validity of the proposed technique was verified through simulation and experiments with real images.

关键词： Cameras Calibration Transmission line matrix methods Equations Matrix decomposition Mathematical model Shape

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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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Probability Evolutionary Algorithm based human motion tracking using voxel data

Probability Evolutionary Algorithm based human motion tracki...

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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 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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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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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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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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