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IEEE International Conference on image processing

作者： Wei Li Lei Zhang David Zhang Jingqi Yan Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Biometrics Research Center Department of Computing Hong Kong Polytechnic University Hong Kong China

image alignment is a crucial step in palmprint verification. However, most of the existing palmprint alignment methods use only some key points between fingers or in palm boundary to extract the region of interest (ROI), which is consequently used for feature extraction and matching. Such alignment methods can only give a coarse alignment of the palmprint images. This paper presents a new effective refinement method for palmprint alignment by adapting the iterative closest point (ICP) method to the palmprint principal lines. The proposed method offers a more accurate alignment of palmprints by correcting efficiently the shifting, rotation and scaling variations introduced in data acquisition. The experimental results show that the proposed method can greatly improve the palmprint verification accuracy in real time.

关键词： Iterative closest point algorithm Biometrics Fingers Feature extraction Data mining Iterative methods Authentication Shape image processing pattern recognition

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Approach to face recognition based on common vector and 2DPCA

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Zidonghua Xuebao/ Acta Automatica Sinica 2009年第2期35卷 202-205页

作者： Wen, Ying Shi, Peng-Fei Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China

A novel approach to face recognition based on the common vector combined with 2-dimensional principal component analysis (2DPCA) is proposed in this paper. The common vector of one class is obtained by face images of the class processed by the Gram-Schmidt orthogonalization to represent the common invariant properties of the class. recognition results are obtained by 2DPCA procedure and distance test of the difference vectors between the original image and the common vector of the class. Experiments are performed on ORL and Yale face databases and the results indicate that the proposed approach achieves good recognition results.

关键词： Principal component analysis

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Kalman filtering based watermarking algorithm

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Journal of Information and Computational Science 2009年第6期6卷 2193-2198页

作者： Zhang, Fan Ding, Aiping Shang, Dongfang Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 China College of Computer and Information Engineering Henan University Kaifeng 475001 China Department of Information Engineering Yellow River Conservancy Technical Institute Kaifeng 475001 China

A digital watermark algorithm based on Kalman filter and image fusion is proposed. Digital watermarking is considered as a process of image fusion. Watermark image and original image are unified in a new state equation, and then the corresponding measurement equation is built. Digital watermark is embedded into original image according to the optimal estimation in the case of minimum estimation error variance. Experimental results show that the proposed algorithm has a good robustness and invisibility. © 2009 Binary Information Press.

关键词： Kalman filters

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Classifier-Based Feature Fusion for Texture Discrimination

Classifier-Based Feature Fusion for Texture Discrimination

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International Conference on Information Engineering and Computer Science (ICIECS)

作者： Jianglin Ma Zhouwei Zhang Chengyi Wang Zhong Chen Remote Sensing Image Processing Laboratory Institute of Remote Sensing Applications Chinese Academy and Sciences Beijing China Institute for Pattern Recognition & Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424449934

A classifier-based method to select and fuse grey level co-occurrence matrix (GLCM), Gaussian Markov random field (GMRF) and discrete wavelet transform (DWT) features to improve texture discrimination is presented. Feature selection via wrapper approaches is applied to find the optimal combination of texture features. The fused features have obtained higher discrimination accuracy compared with individual features. The curse of dimensionality is shown to affect discrimination accuracy, and feature selection and reduction helps obtain higher accuracy. Overall our proposed classifier-based method obtains the highest discrimination accuracy compared to other feature reduction methods such as principal component analysis (PCA) and linear discriminant analysis (LDA). Meanwhile GLCM features are found to produce higher discrimination accuracy than GMRF and DWT, and LDA is demonstrated to obtain higher discrimination accuracy than PCA.

关键词： Discrete wavelet transforms Linear discriminant analysis Signal processing algorithms Feature extraction Remote sensing Markov random fields Principal component analysis Classification algorithms Fuses Wavelet analysis

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A framework for craniofacial surgery simulation based on pre-specified target face configurations

A framework for craniofacial surgery simulation based on pre...

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IEEE International Symposium on Biomedical Imaging

作者： Shengzheng Wang James C. Gee Jie Yang Merchant Marine College Shanghai Maritime University Shanghai China Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China Department of Radiology University of Pennsylvania PA USA

ISBN: (纸本)9781424439317

This paper presents a novel method for assisting surgeons in automatically computing an optimal surgical plan by directly specifying the desired correction to a facial outline. First, the desired facial appearance is prescribed using a 3D sculpturing tool, while the cut regions of the skull are defined based on facial anatomy. Then, the deformation of the face meshes is performed using an improved biomechanical model in which virtual external forces are driven by the displacements corresponding to the differences of node coordinates between the original and specified face meshes, and free nodes and fixed nodes are defined in terms of the contact surfaces between the soft tissues and the bones within the cut regions. Finally, the shape of the contact surfaces is updated following the deformation of the soft tissues. After registering the deformable contact surfaces and the cut surfaces, the final positions of the cut bones are estimated. Evaluation of preliminary experimental results quantitatively demonstrates the effectiveness of the proposed approach.

关键词： Surgery Biological tissues Deformable models Bones Content addressable storage Skin Computational modeling Finite element methods Material properties Biological materials

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A Novel Method for Boundary Condition Computation in Soft Tissue Deformation

A Novel Method for Boundary Condition Computation in Soft Ti...

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Computer Science and Information Engineering, CSIE, WRI World Congress on FLAGGED

作者： Shengzheng Wang Jie Yang Kai Xie Merchant Marine College Shanghai Maritime University Shanghai China Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China The Methodist Hospital Research Institute Cornell university Houston TX USA

Simulating the soft tissue deformation based on bone-related planning is one of the most difficult issues in generating realistic motion of soft tissues. The difficulty of this problem arises from unclear boundary conditions. In facial soft tissue deformation, the boundary conditions of the finite element modeling are related to the bone movements. In order to better map the bone movements to the soft tissue model, a fast and robust computational strategy for boundary conditions is presented in this paper. First, a collision detection algorithm is employed to query contact position after repositioning of bones. Then, an improved 3D discrete distance field algorithm is proposed to perform imposed displacement computation of contact vertices. Finally, boundary conditions are calculated in terms of the imposed displacements. This approach can automatically handle boundary conditions of the complex geometrical modeling without prior assumption or knowledge about the position of contacts. The effectiveness of our method is demonstrated on complex soft tissue deformation.

关键词： Boundary conditions Biological tissues Deformable models Computational modeling Finite element methods Bones Surgery Detection algorithms Solid modeling Skull

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Prediction of protein folding rates from primary sequence by fusing multiple sequential features

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Journal of Biomedical Science and Engineering 2009年第3期2卷 136-143页

作者： Hong-Bin Shen Jiang-Ning Song Kuo-Chen Chou Bioinformatics Center Institute for Chemical Research Kyoto University Gokasho Uji Kyoto 611-0011 Japan Gordon Life Science Institute 13784 Torrey Del Mar Drive San Diego California 92130 USA. Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University 800 Dongchuan Road Shanghai 200240 China

We have developed a web-server for predicting the folding rate of a protein based on its amino acid sequence information alone. The web- server is called Pred-PFR (Predicting Protein Folding Rate). Pred-PFR is featured by fusing multiple individual predictors, each of which is established based on one special feature derived from the protein sequence. The ensemble pre-dictor thus formed is superior to the individual ones, as demonstrated by achieving higher correlation coefficient and lower root mean square deviation between the predicted and observed results when examined by the jack-knife cross-validation on a benchmark dataset constructed recently. As a user-friendly web- server, Pred-PFR is freely accessible to the public at ***/bioinf/Folding Rate/.

关键词： Protein Folding Rate Ensemble Predictor Fusion Approach Web-Server Pred-PFR

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A New Method of Color Edge Detection Based on Local Structure Analysis

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Journal of Donghua University(English Edition) 2008年第6期25卷 718-725页

作者：江舒周越朱巍巍 Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University

Human's real life is within a colorful world. Compared to the gray images, color images contain more information and have better visual effects. In today's digital image processing, image segmentation is an important section for computers to "understand" images and edge detection is always one of the most important methods in the field of image segmentation. Edges in color images are considered as local discontinuities both in color and spatial domains. Despite the intensive study based on integration of single-channel edge detection results, and on vector space analysis, edge detection in color images remains as a challenging issue.

关键词： color edge detection local structure analysis local homogeneity color difference vector

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Elliptical Splats Based Isosurface Visualization for Volume Data

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Journal of Shanghai Jiaotong university(Science) 2008年第5期13卷 533-537页

作者：秦红星石峰郭律杨杰 Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University

Elliptical splats are used to represent and render the isosurface of volume data. The method consists of two steps. The first step is to extract points on the isosurface by looking up the case table. In the second step, properties of splats are computed based on local geometry. Rendering is achieved using surface splatting algorithm. The obtained results show that the extraction time of isosurfaces can be reduced by a factor of three. So our approach is more appropriate for interactive visualization of large medical data than the classical marching cubes (MC) technique.

关键词： volume visualization elliptical splats isosurface extraction differential geometry

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Three-phase Pupil Localization Method in Non-ideal Eye images

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Journal of Donghua University(English Edition) 2008年第1期25卷 101-105页

作者：袁晓燕施鹏飞 Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University

Pupil localization is a very important preprocessing step in many reel applications. Accurate and robust pupil localization in non-ideal eye images is a challenging task. A detailed method of pupil localization in non-ideal eye images is proposed. This method is implemented in three main phases： first, segment the rough pupil region based on Gaussian Mixture Model： then modify the rough segmentation result using morphological method to minimize the influence of some disturbing factors; last estimate the pupil parameters based on minimizing the least square error. The proposed method is first tested on CASIA iris image dataset, and then on our self-captured iris dataset which contains a wider variety of iris images. Experiments show that the proposed method can perform well for nonideal eye images of various qualities.

关键词： biometrics pupillocalization

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