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Improved neural network based manifold learning method for face recognition with less face images per individual

Improved neural network based manifold learning method for f...

引用

2007 International Conference on image processing, computer Vision, and Pattern Recognition, IPCV 2007

作者： Du, Chunhua Yang, Jie Wu, Zheng Yuan, Quan Wu, Qiang Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Department of Computer Systems University of Technology Sydney Sydney Australia

ISBN: (纸本)9781601320438

In this paper, a novel neural network based manifold learning method(NNBML)[1] recently appeared in the Journal of Science is introduced. It can effectively convert high-dimensional data into low-dimensional codes, which are then used for classification. However, it performs not well while dealing with small size face database used for face recognition. We propose a solution generating more samples data based on the existing data. The proposed method is implemented on two well-known face databases, viz. ORL and Yale face databases. The experimental results show that NNBML is able to deal with the task of face recognition after more data samples generated using the proposed method, and also that NNBML outperforms LDA in terms of recognition rate.

关键词： Neural networks

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Active segmentation and adaptive tracking using level sets

Active segmentation and adaptive tracking using level sets

引用

2007 18th British Machine Vision Conference, BMVC 2007

作者： Chen, Zezhi Wallace, Andrew M. School of Mathematics and Computer Sciences United Kingdom School of Engineering and Physical Sciences Joint Research Institute in Signal and Image Processing Heriot-Watt University Edinburgh EH14 4AS United Kingdom

ISBN: (纸本)1901725340

We describe algorithms for active segmentation (AS) of the first frame, and subsequent, adaptive object tracking through succeeding frames, in a video sequence. Object boundaries that include different known colours are segmented against complex backgrounds;it is not necessary for the object to be homogeneous. As the object moves, we develop a tracking algorithm that adaptively changes the colour space model (CSM) according to measures of similarity between object and background. We employ a kernel weighted by the normalized Chamfer distance transform, that changes shape according to a level set definition, to correspond to changes in the perceived 2D contour as the object rotates or deforms. This improves target representation and localisation. Experiments conducted on various synthetic and real colour images illustrate the segmentation and tracking capability and versatility of the algorithmin comparison with results using previously publishedmethods.

关键词： Color

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Propagation of uncertainty in landmark based self-localization of autonomous mobile robots

Propagation of uncertainty in landmark based self-localizati...

引用

10th IAPR Conference on Machine Vision Applications, MVA 2007

作者： Bais, Abdul Sablatnig, Robert Khawaja, Yahya M. Novak, Gregor Institute of Computer Technology Vienna University of Technology Vienna Austria Pattern Recognition and Image Processing Group Institute of Computer Aided Automation ViennaUniversity of Technology Vienna Austria Department of Electrical Engineering NWFP University of Engineering and Technology Peshawar Pakistan

ISBN: (纸本)9784901122078

This paper presents uncertainty propagation in landmark based position estimation methods. Analysis of two methods has been carried out where robot position is estimated by detecting one or two globally distinct features using a pivoted stereo vision system. We make a basic assumption about error in estimating point features in camera images and propagate it into robot position estimate using first order approximation of non-linear functions. Simulation results illustrate the performance of the method.

关键词： Stereo image processing

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View-dependent visibility estimation for tree models

View-dependent visibility estimation for tree models

引用

IEEE International Conference onMultimedia and Expo, ICME 2007

作者： Lee, Jessy Peng, Jingliang Kuo, C.-C. Jay Ming Hsieh Department of Electrical Engineering Signal and Image Processing Institute University of Southern California Los Angeles CA 90089-2564 United States Department of Computer Science Sun Yat-sen University Guangzhou 510275 China

ISBN: (纸本)1424410177

A view-dependent visibility estimation technique for tree models is proposed in this work. While most previous work focused on visibility estimation of large objects in architectural walkthroughs, we consider the visibility estimation problem of tree leaves in complex natural scenes such as forests. Exact calculation of how each leaf object blocks another from a given viewpoint is difficult due to the large amount of computational cost. To address this issue, we propose three simple yet effective methods for efficient visibility estimation of tree leaves: the distance-based, the normal-based, and the layer-plus-normal-based methods. Experimental results show that the distance-based method always produces the best analytical performance, the normal-based method works better in preserving volumetric visual quality at low budget constraints, and the layer-plus-normal-based method preserves volumetric visual quality while yielding excellent analytical performance. © 2007 IEEE.

关键词： Budget control

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The simulation models for rayleigh fading channels

The simulation models for rayleigh fading channels

引用

2007 2nd International Conference on Communications and Networking in China, ChinaCom 2007

作者： Zhinian, Luo Wenjun, Zhang Institute of Image Communication and Information Processing Department of Electronic Engineering Shanghai Jiao Tong University Shanghai 200240 China School of Computer and Communication Hunan University ChangSha 410082 China Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424410095

Rayleigh fading channel is the foundation of mobile radio channel modeling. This paper summarizes four classes of the simulation models for Rayleigh fading channels based on sum-of-sinusoids by a uniform expression, according to the different definition of the assumed parameters in the expression. Among these parameters, the initial phases should be set as random variables and we conclude three cases of phases' definition. With the help of these discussions, it can be seen that the ergodicity and the stationary can not exist simultaneously when the number of multipath wave is finite. Based on this conclusion, some conditions on an effective channel model are proposed, and these conclusions are useful to model the new effective mobile radio channels.

关键词： Fading channels

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Video Object Tracking Based on a Chamfer Distance Transform

Video Object Tracking Based on a Chamfer Distance Transform

引用

IEEE International Conference on image processing

作者： Zezhi Chen Zsolt L Husz Iain Wallace Andrew M Wallace Joint Research Institute in Signal and Image Processing School of Mathematics and Computer Science Heriot-Watt University Edinburgh UK Joint Research Institute in Signal and Image Processing School of Engineering and Physical Sciences Heriot-Watt University Edinburgh UK

This paper describes the use of variable kernels based on the normalized Chamfer distance transform (NCDT) for mean shift, object tracking in colour video sequences. This replaces the more usual Epanechnikov kernel, improving target representation and localization without increasing the processing time, minimising the distance between successive frame RGB distributions using the Bhattacharya coefficient. The target shape which defines the NCDT is found either by regional segmentation or background-difference imaging, dependent on the nature of the video sequence. The improved performance is demonstrated on a number of colour video sequences.

关键词： Kernel Video sequences image segmentation Histograms Target tracking Robust stability Signal processing image processing mathematics computer science

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Four-Dimensional Wavelet Compression of 4-D Medical images Using Scalable 4-D SBHP

Four-Dimensional Wavelet Compression of 4-D Medical Images U...

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Data Compression Conference (DCC)

作者： Ying Liu William A. Pearlman Center for Image Processing ResearchElectrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy NY USA

This paper proposes a low-complexity wavelet-based method for progressive lossy-to-lossless compression of four dimensional (4-D) medical images. The subband block hierarchal partitioning (SBHP) algorithm is modified and extended to four dimensions, and applied to every code block independently. The resultant algorithm, 4D-SBHP, efficiently encodes 4D image data by the exploitation of the dependencies in all dimensions, while enabling progressive SNR and resolution decompression. The resolution scalable and lossy-to-lossless performances are empirically investigated. The experimental results show that our 4-D scheme achieves better compression performance on 4-D medical images when compared with 3-D volumetric compression schemes

关键词： image coding Biomedical imaging Medical diagnostic imaging Scalability Discrete wavelet transforms Wavelet transforms Decoding Partitioning algorithms image resolution Computed tomography

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High Resolution image Reconstruction in Shape from Focus

High Resolution Image Reconstruction in Shape from Focus

引用

IEEE International Conference on image processing

作者： R. R. Sahay A. N. Rajagopalan Image Processing and Computer Vision Lab Department of Electrical Engineering Indian Institute of Technology Madras Chennai India

In the Shape from Focus (SFF) method, a sequence of images of a 3D object is captured for computing its depth profile. However, it is useful in several applications to also derive a high resolution focused image of the 3D object. Given the space-variantly blurred frames and the depth map, we propose a method to optimally estimate a high resolution image of the object within the SFF framework.

关键词： image resolution image reconstruction Shape Focusing Cameras Apertures Pixel computer vision image processing Application software

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Multistage Lattice Vector Quantization for Hyperspectral image Compression

Multistage Lattice Vector Quantization for Hyperspectral Ima...

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Asilomar Conference on Signals, Systems & computers

作者： Ying Liu William A. Pearlman Center for Image Processing Research Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy NY USA

Lattice vector quantization (LVQ) offers substantial reduction in computational load and design complexity due to the lattice regular structure [1]. In this paper, we extended the SPIHT [2] coding algorithm with lattice vector quantization to code hyperspectral images. In the proposed algorithm, multistage lattice vector quantization (MLVQ) is used to exploit correlations between image slices, while offering successive refinement with low coding complexity and computation. Different four-dimensional lattices and significance metrics are considered. Their rate-distortion performance is compared with other 2D and 3D wavelet-based image compression algorithms.

关键词： Lattices Vector quantization Hyperspectral imaging image coding Partitioning algorithms Bit rate image processing Design engineering Systems engineering and theory Rate-distortion

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On Cluster Validity Indexes in Fuzzy and Hard Clustering Algorithms for image Segmentation

On Cluster Validity Indexes in Fuzzy and Hard Clustering Alg...

引用

IEEE International Conference on image processing

作者： Moumen El-Melegy E.A. Zanaty Walaa M. Abd-Elhafiez Aly Farag Electrical Department Assiut University Asyut Egypt Computer Science Department Taif University Saudi Arabia Mathematics Department Sohag University Sohag Egypt Computer Vision and Image Processing Laboratory University of Louisville KY USA

This paper addresses the issue of assessing the quality of the clusters found by fuzzy and hard clustering algorithms. In particular, it seeks an answer to the question on how well cluster validity indexes can automatically determine the appropriate number of clusters that represent the data. The paper surveys several key existing solutions for cluster validity in the domain of image segmentation. In addition, it suggests two new indexes. The first one is based on Akaike's information criterion (AIC). While AIC was devoted to other domains such as statistical estimation of model fitting, it is implemented here for the first time as a validation index. The second index is developed from the well-established idea of cross-validation. The existing and new indexes are evaluated and compared on several synthetic images corrupted with noise of varying levels and volumetric MR data.

关键词： Clustering algorithms image segmentation Partitioning algorithms Biomedical imaging Clustering methods computer science Information systems computer vision image processing Fuzzy systems

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