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26th Annual International Symposium on Computer and Information Science, ISCIS 2011

作者： Özgüz, Mete Eskil, M. Taner Department of Computer Science and Engineering Pattern Recognition and Machine Intelligence Laboratory ISIK University Istanbul Turkey

The dynamics of a face are often implemented as a system of connected particles with various forces acting upon them. Animation of such a system requires the approximation of velocity and position of each particle through numerical integration. There are many numerical integrators that are commonly used in the literature. We conducted experiments to determine the suitability of numerical integration methods in approximating the particular dynamics of mass-spring-damper systems. Among Euler, semi-implicit Euler, Runge-Kutta and Leapfrog, we found that simulation with Leapfrog numerical integration characterizes a mass-spring-damper system best in terms of the energy loss of the overall system. © 2012 Springer-Verlag London Limited.

关键词： Energy dissipation

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Palmprint verification using SIFT majority voting

Palmprint verification using SIFT majority voting

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26th Annual International Symposium on Computer and Information Science, ISCIS 2011

作者： Abeysundera, H. Pasindu Eskil, M. Taner Department of Computer Science and Engineering Pattern Recognition and Machine Intelligence Laboratory ISIK University Istanbul Turkey

In this paper we illustrate the implementation of a robust, real-time biometric system for identity verification based on palmprint images. The palmprint images are preprocessed to align the major axes of hand shapes and to extract the palm region. We extract features using Scale Invariant Feature Transform (SIFT). Classification of individual SIFT features is done through KNN. The class of the hand image is decided by a majority based voting among its classified SIFT features. We demonstrate on the CASIA and PolyU datasets that the proposed system achieves authentication accuracy comparable to other state of the art algorithms. © 2012 Springer-Verlag London Limited.

关键词： Anthropometry

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Semi-automatic adaptation of high-polygon wireframe face models through inverse perspective projection

Semi-automatic adaptation of high-polygon wireframe face mod...

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26th Annual International Symposium on Computer and Information Science, ISCIS 2011

作者： Benli, Kristin S. Aǧdoǧan, Didem Özgüz, Mete Eskil, M. Taner Department of Computer Science and Engineering Pattern Recognition and Machine Intelligence Laboratory ISIK University Istanbul Turkey

Precise registration of a generic 3D face model with a subject's face is a critical stage for model based analysis of facial expressions. In this study we propose a semi-automatic model fitting algorithm to fit a high-polygon wireframe model to a single image of a face. We manually mark important landmark points both on the wireframe model and the face image. We carry out an initial alignment by translating and scaling the wireframe model. We then translate the landmark vertices in the 3D wireframe model so that they coincide with inverse perspective projections of image landmark points. The vertices that are not manually labeled as landmark are translated with a weighted sum of vectorial displacement of k neighboring landmark vertices, inversely weighted by their 3D distances to the vertex under consideration. Our experiments indicate that we can fit a high-polygon model to the subject's face with modest computational complexity. © 2012 Springer-Verlag London Limited.

关键词： Geometry

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Arabic handwritten text line extraction by applying an adaptive mask to morphological dilation

Arabic handwritten text line extraction by applying an adapt...

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10th IAPR International Workshop on Document Analysis Systems, DAS 2012

作者： Khayyat, Muna Lam, Louisa Suen, Ching Y. Yin, Fei Liu, Cheng-Lin Concordia University Center for Pattern Recognition and Machine Intelligence Montreal QC H3G 1M8 Canada Institute of Automation of Chinese Academy of Science National Laboratory of Pattern Recognition Beijing 100190 China

ISBN: (纸本)9780769546612

This paper presents a robust method for handwritten text line extraction. We use morphological dilation with a dynamic adaptive mask for line extraction. Line separation occurs because of the repulsion and attraction between connected components. The characteristics of the Arabic script are considered to ensure a high performance of the algorithm. Our method is evaluated on the CENPARMI Arabic handwritten documents database which contains multi-skewed and touching lines. With a matching score of 0.95, our method achieved precision and recall rates of 96:3% and 96:7% respectively, which demonstrate the effectiveness of our approach. © 2012 IEEE.

关键词： Extraction

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Arabic Handwritten Text Line Extraction by Applying an Adaptive Mask to Morphological Dilation

Arabic Handwritten Text Line Extraction by Applying an Adapt...

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IAPR International Workshop on Document Analysis Systems, DAS

作者： Muna Khayyat Louisa Lam Ching Y. Suen Fei Yin Cheng-Lin Liu Center for Pattern Recognition and Machine Intelligence Concordia University Montreal QUE Canada Institute of Automation National Laboratory of Pattern Recognition Chinese Academy of Sciences Beijing China

关键词： Heuristic algorithms Databases Clustering algorithms Text analysis Layout Shape

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Image super-resolution reconstruction based on self-similarity and neural networks

Image super-resolution reconstruction based on self-similari...

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2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012

作者： Xu, Yan Li, Xue M. Gao, Tian Suen, Ching Y. Beijing Key Laboratory of Network System and Network Culture University of Posts and Telecommunications Beijing 100876 China Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal QC H3G 1M8 Canada School of Computer Shandong Jianzhu University Jinan 250101 China

ISBN: (纸本)9781467303828

A novel super-resolution approach is presented. An image pyramid has been built based on the framework of wavelet transform, and the detailed coefficients are explored for training the neural networks. The initial high resolution image is estimated by the trained networks and the inverse wavelet transform, and then is constrained with prior knowledge of the error function by iteration. For a factor of 2n, repeat this process and update the networks. The experimental results show that our method reconstructs the more reliable image without obvious visual artifacts. © 2012 IEEE.

关键词： Wavelet transforms

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Color Image Segmentation by Edge Linking and Region Grouping

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Journal of Shanghai Jiaotong university(Science) 2011年第4期16卷 412-419页

作者：王宁杨杰 Key Laboratory of Pattern Recognition and Machine Intelligence of Ministry of Education Shanghai Jiaotong University

A novel method toward color image segmentation is proposed based on edge linking and region grouping. Firstly,the edges extracted by the Canny detector are linked to form *** of the end points of edges is connected by a direct line to the nearest pixel on another edge segment within a sub-window.A new distance is defined based on the feature that the edge tends to preserve its original *** sampling the lines to the image,the image is over-segmented to labeled ***,the labeled regions are grouped both locally and globally.A decision tree is constructed to decide the importance of properties that affect the merging ***,the result is refined by user’s selection of regions that compose the desired object. Experiments show that the method can effectively segment the object and is much faster than the state-of-the-art color image segmentation methods.

关键词： color image segmentation edge linking region grouping

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Extraction of affine invariant features for shape recognition based on ant colony optimization

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Journal of Systems Engineering and Electronics 2011年第6期22卷 1003-1009页

作者： Yuxing Mao Ching Y. Suen Wei He State Key Laboratory of Power Transmission Equipment ＆ System Security and New Technology Chongqing University Chongqing 400044 E R. China Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal QC H3G 1M8 Canada

A new approach to extraction of affine invariant features of contour image and matching strategy is proposed for shape ***,the centroid distance and azimuth angle of each boundary point are ***,with a prior-defined angle interval,all the points in the neighbor region of the sample point are considered to calculate the average distance for eliminating *** that,the centroid distance ratios（CDRs） of any two opposite contour points to the barycenter are achieved as the representation of the shape,which will be invariant to affine *** the angles of contour points will change non-linearly among affine related images,the CDRs should be resampled and combined sequentially to build one-by-one matching pairs of the corresponding *** core issue is how to determine the angle positions for sampling,which can be regarded as an optimization problem of path *** ant colony optimization（ACO）-based path planning model with some constraints is presented to address this ***,the Euclidean distance is adopted to evaluate the similarity of shape features in different *** experimental results demonstrate the efficiency of the proposed method in shape recognition with translation,scaling,rotation and distortion.

关键词： shape recognition affine transformation centroid distance ratio（CDR） ant colony optimization（ACO） path planning.

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Image super-resolution based wavelet framework with gradient prior

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Lecture Notes in Computer Science

作者： Xu, Yan Li, Xueming M. Suen, Chingyi Y. Beijing Key Laboratory of Network System and Network Culture Beijing University of Posts and Telecommunications Beijing 100876 China Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal QC H3G 1M8 Canada

ISBN: (纸本)9783642236778

A novel super-resolution approach is presented. It is based on the local Lipschitz regularity of wavelet transform along scales to predict the new detailed coefficients and their gradients from the horizontal, vertical and diagonal directions after extrapolation. They form inputs of a synthesis wavelet filter to perform the undecimated inverse wavelet transform without registration error, to obtain the output image and its gradient map respectively. Finally, the gradient descent algorithm is applied to the output image combined with the newly generated gradient map. Experiments show that our method improves in both the objective evaluation of peak signal-to-noise ratio (PSNR) with the greatest improvement of 1.32 dB and the average of 0.56 dB, and the subjective evaluation in the edge pixels and even in the texture regions, compared to the "bicubic" interpolation algorithm. © 2011 Springer-Verlag.

关键词： Wavelet transforms

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EXTRACTION OF AFFINE INVARIANT FEATURES FOR SHAPE recognition BASED ON ANT COLONY OPTIMIZATION

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Journal of Systems Engineering and Electronics 2011年第6期000卷

作者： Yuxing Mao 1 * Ching Y.Suen 2 and Wei He 1 1.State Key laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing 400044 P.R.China 2.Centre for pattern recognition and machine intelligence Concordia University Montreal QC H3G 1M8 Canada State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing 400044 P. R. China Centre for Pattern Recognition and Machine Intelligence Concordia University MontrealQC H3G IM8 Canada

A new approach to extraction of affine invariant features of contour image and matching strategy is proposed for shape ***,the centroid distance and azimuth angle of each boundary point are ***,with a prior-defined angle interval,all the points in the neighbor region of the sample point are considered to calculate the average distance for eliminating *** that,the centroid distance ratios (CDRs) of any two opposite contour points to the barycenter are achieved as the representation of the shape,which will be invariant to affine *** the angles of contour points will change non-linearly among affine related images,the CDRs should be resampled and combined sequentially to build one-by-one matching pairs of the corresponding *** core issue is how to determine the angle positions for sampling,which can be regarded as an optimization problem of path *** ant colony optimization (ACO)-based path planning model with some constraints is presented to address this ***,the Euclidean distance is adopted to evaluate the similarity of shape features in different *** experimental results demonstrate the efficiency of the proposed method in shape recognition with translation,scaling,rotation and distortion.

关键词： shape recognition affine transformation centroid distance ratio (CDR) ant colony optimization (ACO) path planning

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