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Better Foreground Segmentation for Static Cameras via New Energy Form and Dynamic Graph-cut

Better Foreground Segmentation for Static Cameras via New En...

引用

International conference on pattern recognition

作者： Yunda Sun Bo Li Baozong Yuan Zhenjiang Miao Chengkai Wan Beijing Jiaotong University Beijing Beijing CN

In this paper, we propose a new foreground segmentation method for applications using static cameras. It formulates foreground segmentation as an energy minimization problem, and produces much better results than conventional background subtraction methods. Due to the integration of better likelihood term, shadow elimination term and contrast term into energy function, it also achieves more accurate segmentation than existing method of the same type. Furthermore, real-time performance is made possible by employing dynamic graph-cut algorithm. Quantitative and qualitative experiments on real videos demonstrate our improvements

关键词： Cameras Videos Pixel Image segmentation Minimization methods Heuristic algorithms Sun Information science computer vision Surveillance

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Differential-Algebraic Multiview Constraints

Differential-Algebraic Multiview Constraints

引用

International conference on pattern recognition

作者： A. Heyden Applied Mathematics Group School of Technology and Society Malmö University Sweden

In this paper we present a novel type of multiview constraints, called differential-algebraic multiview constraints. These constraints are based on both corresponding feature points and the motion of these feature points, thus combining the discrete multiview constraints with the continuous multiview constraints. The main usage of these constraints is as a theoretical basis for filtering approaches to structure and motion recovery, enabling an update of a current motion estimate when a new image becomes available. One important feature is that the update formula becomes linear in the motion parameters in the calibrated case, which is a major improvement compared to the standard discrete approach. Another advantage is that fewer points are needed in the update formula then when calculating the motion without using a prior estimate

关键词： Motion estimation Tensile stress Cameras Layout Image sequences Mathematics Constraint theory computer vision Surface texture Sparse matrices

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Integrating EMD and Gradient for Generating Primal Sketch of Natural Images

Integrating EMD and Gradient for Generating Primal Sketch of...

引用

International conference on pattern recognition

作者： Fang Dai Nanning Zheng Jianru Xue School of Science Xi''an University of Technology Xi'an China Institute of Artificial Intelligence and Robotics Xi''an Jiaotong University Xi'an China

ISBN: (纸本)0769525210

Primal sketch performs an important role in early vision. In this paper, we propose a novel method to obtain the primal sketch of natural images by integrating empirical mode decomposition (EMD) techniques and image gradient. 2D EMD approach can decompose the image into a finite number of intrinsic mode functions (IMF), and each one represents the original image in a different scale, with the 1st IMF representing the finest scale. To enhance the information represented by the IMF, we multiply the 1st IMF by the image gradient. This enhanced IMF highlights intensity changes in the image. By linking all the maximal points in the enhanced IMF, we obtain a primal sketch of the original image. Compared with the existed primal sketch extraction methods, our method is fully driven by the image data, and it needs neither to choose filters nor to learn the image bases. The experiment results show that our method is fast and effective

关键词： Filters Dictionaries Artificial intelligence Intelligent robots Joining processes Data mining computer vision Video compression Image recognition Psychology

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Bijective Image Registration using Thin-Plate Splines.

Bijective Image Registration using Thin-Plate Splines.

引用

International conference on pattern recognition

作者： A.P. Eriksson K. Astrom Centre for Mathematical Sciences Lund University Lund Sweden

Image registration is the process of geometrically aligning two or more images. In this paper we describe a method for registering pairs of images based on thin-plate spline mappings. The proposed algorithm minimizes the difference in gray-level intensity over bijective deformations. By using quadratic sufficient constraints for bijectivity and a least squares formulation this optimization problem can be addressed using quadratic programming and a modified Gauss-Newton method. This approach also results in a very computationally efficient algorithm. Example results from the algorithm on three different types of images are also presented

关键词： Image registration computer vision Least squares methods Constraint optimization Quadratic programming Newton method Recursive estimation Remote sensing Biomedical imaging Deformable models

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Generalizing inverse compositional image alignment

Generalizing inverse compositional image alignment

引用

International conference on pattern recognition

作者： R. Brooks T. Arbel McGill University Montreal QUE Canada

The inverse compositional (IC) approach to image alignment uses characteristics of the alignment problem to improve optimization speed. While a number of authors have noted its usefulness, to date it has only been explored for least-squares type image difference measures using Gauss-Newton optimization schemes. We extend the IC approach to general difference measures, and a wider class of optimization approaches, with specific development for normalized correlation and mutual information using the BFGS optimizer. We present alignment experiments on image pairs of several different classes that demonstrate performance improvements for the general case

关键词： Optimized production technology Gaussian processes Mutual information computer vision Application software Surgery Computational efficiency Newton method Least squares methods Recursive estimation

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Using Specularities to Recover Multiple Light Sources in the Presence of Texture

Using Specularities to Recover Multiple Light Sources in the...

引用

International conference on pattern recognition

作者： P. Lagger P. Fua Computer Vision Laboratory EPF Lausanne Switzerland

Recovering multiple point light sources from a sparse set of photographs in which objects of unknown texture can move is challenging. This is because both diffuse and specular reflections appear to slide across surfaces. What is seldom demonstrated, however, is that it can be taken advantage of to address the light-source recovery problem. In this paper, we therefore show that, if 3D models of the moving objects are available or can be computed from the images, we can solve the problem without any a priori constraints on the number of sources, on their color, or on the surface albedos. Our approach involves finding local maxima in individual images, checking them for consistency across images, retaining the apparently specular ones, and having them vote in a Hough-like scheme for potential light source directions. The precise directions of the sources and their relative power are then obtained by optimizing a standard lighting model. As a byproduct we also obtain an estimate of various material parameters such as the unlighted texture and specular properties. We show that the resulting algorithm can operate in presence of arbitrary textures and an unknown number of light sources of possibly different unknown colors. We also estimate its accuracy using ground-truth data

关键词： Light sources Layout computer vision Laboratories Optical reflection Surface texture Voting Cameras Software packages Image reconstruction

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Facial Authentication System Based on Real-Time 3D Facial Imaging By Using Correlation Image Sensor

Facial Authentication System Based on Real-Time 3D Facial Im...

引用

International conference on Intelligent Systems Design and Applications (ISDA)

作者： Shu Zhan Toru Kurihara Shigeru Ando School of Computer and Information Hefei University of Technology Hefei Anhui China Department of Information Physics and Computing The University of Tokyo Tokyo Japan

Biometrics is one hot and challenging area in computer vision, pattern recognition and real-time image sensing. Facial image recognition system based on real-time 3D facial imaging is rising and potential research direction in biometrics. We designed a facial image recognition system based on 3D real-time facial imaging by using correlation image sensor. Based on the normal vector map and intensity image obtained by three-phase correlation image sensor, the differential geometry theory was employed to find the key points of face image, according to curvature feature of facial image and these key points, the 3D facial image in different pose was corrected. The eigenface algorithm was implemented to get the authentication result. The experiments result shows that the performance for our test datasets is very satisfactory

关键词： Authentication Real time systems Image sensors Face recognition Biometrics Computational Intelligence Society computer vision Image recognition Lighting Robustness

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Palmprint recognition Based on 2-Dimension PCA

Palmprint Recognition Based on 2-Dimension PCA

引用

International conference on Innovative computering, Information and Control

作者： Junwei Tao Wei Jiang Zan Gao Shuang Chen Chao Wang School of Information Science & Engineering Shandong University Jinan China

ISBN: (纸本)0769526160

PCA (principal component analysis) is a successful feature detection method for pattern recognition. It is the optimal dimension compression technique based on second-order information, in the sense of mean-square error. It deals with image vector whose dimension is usually high. 2DPCA is a novel PCA method for image matrix, and it can calculate the covariance matrix more precise. In this paper we combined the new 2DPCA method and PCA to palmprint recognition, and first we apply 2DPCA to the image matrix and we make an improvement in the selection of principal components. We select the principal component that is better for classification. Then we apply 1DPCA to the projected vectors for dimension reduction. At last we apply the method to PolyU Palmprint Database. The experiment result shows that our method got more recognition rate with lower dimensions.

关键词： Principal component analysis Covariance matrix pattern recognition Vectors Image recognition computer vision Image coding Image databases Feature extraction Scattering

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Stroke Segmentation of Chinese Characters Using Markov Random Fields

Stroke Segmentation of Chinese Characters Using Markov Rando...

引用

International conference on pattern recognition

作者： Jia Zeng Zhi-Qiang Liu School of Creative Media City University of Hong Kong Hong Kong China

ISBN: (纸本)0769525210

This paper presents Markov random fields (MRFs) to segment strokes of Chinese characters. The distortions caused by the thinning process make the thinning-based stroke segmentation difficult to extract continuous strokes and handle the ambiguous intersection regions. The MRFs reflect the local statistical dependencies at neighboring sites of the stroke skeleton, where the likelihood clique potential describes the statistical variations of directional observations at each site, and the smoothness prior clique potential describes the interactions among observations at neighboring sites. Based on the cyclic directional observations by Gabor filters, we formulate the stroke segmentation as an optimal labeling problem by the maximum a posteriori (MAP) criterion. The results of stroke segmentation on the ETL-9B character database are encouraging

关键词： Markov random fields Labeling Pixel Skeleton Character recognition computer vision Random media Gabor filters Databases Computational complexity

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Development of Novel Fast Block Based Trace Mean Correspondence Algorithm for Face Tracking

Development of Novel Fast Block Based Trace Mean Corresponde...

引用

International conference on Advanced Computing and Communications (ADCOM)

作者： Y P Gowramma C N RaviKumar Professor & HOD Dept. of CSE Kalpataru Institute of Tech Tiptur-572202 Karnataka India. gowriyp@yahoo.co.in Department of CSE S J College of Engineering Mysore Karnataka India

We propose a novel computationally efficient correspondence algorithm to identify the correspondence of similar features of the reference frame to search frame in the dynamic image sequence analysis for face tracking. The correspondence of the features between the set of images is the central problem in computer vision(CV), image analysis(IA) and pattern recognition(PR). In these areas correspondence of features is the combinatorial explosion problem or NP-hard, because of their exhaustive searching for features in the sequence of image frames. This correspondence has three major steps such as segmentation, feature extraction and matching. In this paper we propose block-based segmentation in which the frame which contains the face to be track can be segmented as window of size 20*20 which covers the face. Here we consider the window trace mean is the feature since this is rotation invariant and it covers all the rows and columns of the window and it reduces the dimensionality and finally for matching we used the minimum absolute difference method which does not involves more computations since no multiplication operation is involved. We restrict the searching space to [-3,+3] pixels horizontally and vertically in the search image. Experimental results show that this novel algorithm could achieve much higher computational reduction as compared with full search (FS), diamond search (DS) (Tham et al., 1998 ), cross diamond search (CDS)(Cheung & Po, 2002) and area based correspondence (Gowramma & Kumar, 2006) algorithm for face tracking image sequence while similar prediction accuracy is maintained and it is especially suitable for video conferencing and slow moving dynamic image sequence.

关键词： Image segmentation Image sequences Image sequence analysis computer vision Image analysis pattern analysis pattern recognition Image recognition Explosions Feature extraction

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