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European Signal processing Conference (EUSIPCO)

作者： Michael G. Strintzis Sotiris Malassiotis Nikolaos V. Boulgouris Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki 54006 Greece Informatics and Telematics Institute 1 Kyvernidou str. Thessaloniki 546 39 Greece

Optimal mechanisms are determined for the hierarchical decomposition of wire-frame surfaces. A family of box-splines with compact support, suitable for the approximation of wire-frames is defined, generated by arbitrary sampling matrices with integer eigenvalues. Criterion of optimality is the minimization of the variance of the error difference between the original surface and its representation at each resolution level. This is needed so as to ensure that the wire mesh produces at each resolution as close a replica of the original surface as possible.

关键词： Splines (mathematics) Image coding Surface treatment Image resolution Surface waves Signal resolution Surface reconstruction

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Unsupervised hyperspectral image analysis using independent component analysis

Unsupervised hyperspectral image analysis using independent ...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Shao-Shan Chiang Chein-I Chang I.W. Ginsberg Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA Department of Energy Remote Sensing Laboratories Las Vegas NV USA

In this paper, an ICA-based approach is proposed for hyperspectral image analysis. It can be viewed as a random version of the commonly used linear spectral mixture analysis, in which the abundance fractions in a linear mixture model are considered to be unknown independent signal sources. It does not require the full rank of the separating matrix or orthogonality as most ICA methods do. More importantly, the learning algorithm is designed based on the independency of the material abundance vector rather than the independency of the separating matrix generally used to constrain the standard ICA. As a result, the learning algorithm is able to converge to non-orthogonal independent components. This is particularly useful in hyperspectral image analysis since many materials extracted from a hyperspectral image may have similar spectral signatures and may not be orthogonal. The AVIRIS experiments have demonstrated that the proposed ICA provides an effective unsupervised technique for hyperspectral image classification.

关键词： Hyperspectral imaging Image analysis Independent component analysis Hyperspectral sensors Principal component analysis Vectors Laboratories Spectral analysis Pixel Composite materials

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A linear mixture analysis-based compression for hyperspectral image analysis

A linear mixture analysis-based compression for hyperspectra...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Q. Du Chein-I Chang D.C. Heinz M.L.G. Althouse I.W. Ginsberg Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA Department of Energy Remote Sensing Laboratories Las Vegas NV USA

The authors present a fully constrained least squares linear spectral mixture analysis-based compression technique for hyperspectral image analysis, particularly, target detection and classification. Unlike most compression techniques that directly deal with image gray levels, the proposed compression approach generates the abundance fractional images of potential targets present in an image scene and then encodes these fractional images so as to achieve data compression. Since the vital information used for image analysis is generally preserved and retained in the abundance fractional images, the loss of information may have very little impact on image analysis. In some occasions, it even improves analysis performance. AVIRIS data experiments demonstrate that it can effectively detect and classify targets while achieving very high compression ratios.

关键词： Image analysis Image coding Hyperspectral imaging Hyperspectral sensors Layout Object detection Spectral analysis Performance analysis Feature extraction Pixel

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A novel rigid object segmentation method based on multiresolution 3-D motion and luminance analysis

A novel rigid object segmentation method based on multiresol...

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IEEE International Conference on Image processing

作者： T. Papadimitriou K.I. Diamantaras M.G. Strintzis M. Roumeliotis Educational Technology Laboratory University of Macedonia Thessaloniki Greece Department of Informatics Technological Educational Institute of Thessaloniki Sindos Greece Information Processing Laboratory Department Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece Department Applied Informatics University of Macedonia Thessaloniki Greece

ISBN: (纸本)0780362977

We present a new image sequence segmentation method which combines both spatial and temporal information in a multiresolution framework. A region growing technique in a multiresolution scheme outputs an over-segmented partition of the image scene. Pure temporal information is collected for each region using a feature extraction/feature tracking technique. Motion information is further processed in a pyramidal robust motion estimation scheme, in order to calculate more complex motion parameters for each region. Regions obtained from the first step are clustered according to their motion models. This ensures that rigid objects with luminance discontinuities can be segmented correctly. The method has been successfully tested in real imagery and typical examples are presented.

关键词： Object segmentation Spatial resolution Image segmentation Image resolution Feature extraction Image sequences Layout Robustness Motion estimation Testing

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New approach to fast calculation of moments of 3-D gray level images

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Parallel Computing 2000年第6期26卷 805-815页

作者： Liu, J.G. Chan, F.H.Y. Lam, F.K. Li, H.F. Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology China Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Department of Computer Science University of Concordia Canada State Education Ministry Laboratory for Image Processing and Intelligent Control China

Fast computation of three-dimensional (3-D) moments is an important and pragmatic problem. In this paper, we propose a new algorithm together with suitable systolic structure for the fast computation of 3-D moments, extending our method for fast computation of 2-D moments. A scalable systolic structure, consisting of adders and latches, fully exploits parallelism of the network architecture and is very suitable for hardware implementation. Our new method, which also dispenses with the need for multiplication, is suitable for both binary images and gray level images. We also extend our method to efficient computation of k-dimensional (k-D) moments (k > 3).

关键词： Parallel processing systems

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Factorization method for multiple perspective views via iterative depth estimation

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Systems and computers in Japan 2000年第13期31卷 87-95页

作者： Ueshiba, Toshio Tomita, Fumiaki Electrotechnical Laboratory Tsukuba 305-8568 Japan Department of Electrical Engineering University of Tokyo Electrotechnical Laboratory Min. of Intl. Trade and Industry Intelligent Systems Division Canada Nat. Inf. Eng. Lab. Information Processing Society Robotics Society of Japan Soc. of Instrum. Control Engineers Department of Control Engineering Osaka University CMU Department of Computer Science Information Processing Society Robotics Society of Japan

This paper proposes a factorization method that reconstructs camera motion and scene shape based on the matching of multiple images under the condition that the camera captures a perspective view. Starting from the affine projection camera model, the projection depth is iteratively estimated until the measurement matrix has rank 4. Then, the obtained measurement matrix is factorized to restore the three-dimensional information of the scene in the projection space. This approach eliminates noise sensitive processes, such as the calculation of the fundamental matrix, that are required in the factorization for the conventional perspective projection image, and a stable reconstruction is realized. Furthermore, the metric constraint in the conventional affine model is extended, and the metric constraint in the perspective projection condition is derived. It is shown that the reconstruction in Euclidean space is realized if the internal parameters of the camera are given.

关键词： Image reconstruction

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Kalman filtering approach to multispectral/hyperspectral image classification

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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 1999年第1期35卷 319-330页

作者： Chang, CI Brumbley, C Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA Department of Defense Fort Meade MD USA

Linear unmixing is a widely used remote sensing image processing technique for subpixel classification and detection where a scene pixel is generally modeled by a linear mixture of spectral signatures of materials present within the pixel. tin approach, called linear unmixing Kalman filtering (LUKF), is presented which incorporates the concept of linear unmixing into Kalman filtering so as to achieve signature abundance estimation, subpixel detection and classification for remotely sensed images. Zn this case, the linear mixture model used in linear unmixing is implemented as the measurement equation in Kalman filtering. The state equation which is required for Kalman filtering but absent in linear unmixing is then used to model the signature abundance. By utilizing these two equations the proposed LUKF not only can detect abrupt change in various signature abundances within pixels, but also can detect and classify desired target signatures. The performance of effectiveness and robustness of the LUKF is demonstrated through simulated data and real scene images, Satellite Pour l'Observation de la Terra (SPOT) and Hyperspectral Digital Imagery Collection (HYDICE) data.

关键词： Kalman filters Filtering Hyperspectral imaging Nonlinear filters Equations Hyperspectral sensors Layout Pixel Remote sensing Image processing

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Sprite generation and coding of multiview image sequences

Sprite generation and coding of multiview image sequences

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10th International Conference on Image Analysis and processing, ICIAP 1999

作者： Grammalidis, Nikos Beletsiotis, Dimitris Strintzis, Michael G. Department of Electrical and Computer Engineering Information Processing Laboratory University of Thessaloniki Thessaloniki 54006 Greece

ISBN: (纸本)0769500404

An algorithm to generate background sprite images from multiview image sequences is presented. A dynamic programming algorithm, using a multiview matching cost as well as pure geometrical constraints, is used to provide an estimate of the disparity field and to identify occluded areas. By combining motion, disparity and occlusion information, a sprite image corresponding to the first (main) view at the first time instant is generated. Image pixels from other views that are occluded in the main view are added to the sprite. The sprite coding method defined by MPEG-4 is extended for multiview image sequences, based on the generated sprite. Experimental results are presented, demonstrating the performance of the proposed technique and comparing it with methods using sprite generation from monoscopic sequences. © 1999 IEEE.

关键词： Dynamic programming

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Object articulation based on local 3D motion estimation 4th

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4th European Conference on Multimedia Applications, Services and Techniques, ECMAST 1999

作者： Kompatsiaris, Ioannis Tzovaras, Dimitrios Strintzis, Michael G. Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki54006 Greece

ISBN: (纸本)3540660828

This paper describes a 3D model-based unsupervised procedure for the segmentation of multiview image sequences using multiple sources of information. Using multiview information a 3D model representation of the scene is constructed. The articulation procedure is based on the homogeneity of parameters, such as rigid 3D motion, color and depth, estimated for each sub-object, which consists of a number of interconnected triangles of the 3D model. The rigid 3D motion of each sub-object for subsequent frames is estimated using a Kalman filtering algorithm taking into account the temporal correlation between consecutive frames. Information from all cameras is combined during the formation of the equations for the rigid 3D motion parameters. The parameter estimation for each sub-object and the 3D model segmentation procedures are interleaved and repeated iteratively until a satisfactory object segmentation emerges. The performance of the resulting segmentation method is evaluated experimentally. © Springer-Verlag Berlin Heidelberg 1999.

关键词： Parameter estimation

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Three dimensional model adaptation and tracking of a human face 4th

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4th European Conference on Multimedia Applications, Services and Techniques, ECMAST 1999

作者： Sarris, Nikolaos Tzanetos, Georgios Strintzis, Michael G. Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki54006 Greece

ISBN: (纸本)3540660828

This paper develops a methodology consisting of improved previously known methods and novel techniques for the model based coding of a human face. An image scene is analysed to locate the position of human faces and transform a generic three dimensional face model to reflect the characteristics extracted from the particular image. A set of feature points necessary to define the position and posture of the face is tracked through the image sequence and the three dimensional model is continuously adapted to the facial image of every subsequent frame. Results are shown for every individual module, while on going work aims to the integration of the component modules. © Springer-Verlag Berlin Heidelberg 1999.

关键词： Artificial intelligence

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