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Multimodality image registration and fusion using neural network

Multimodality image registration and fusion using neural net...

引用

3rd International Conference on Information Fusion, FUSION 2000

作者： Mostafa, Mostafa G. Farag, Aly A. Essock, Edward Computer Vision and Image Processing Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY 40292 United States Department of Psychology University of Louisville Louisville KY 40292 United States

ISBN: (纸本)2725700000

Multi-modality image registration and fusion are essential steps in building 3D models from remote sensing data. In this paper, we present a neural network technique for the registration and fusion of multi-modality remote sensing data for the reconstruction of 3D models of terrain regions. A feedforward neural network is used to fuse the intensity data sets with the spatial data set after learning its geometry. Results on real data are presented. Human performance evaluation is assessed on several perceptual tests in order to evaluate the fusion results. © 2000 Int. Soc. Inf. Fusion.

关键词： Image fusion

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A Java graphical user interface for large-scale scientific computations in distributed systems 4

A Java graphical user interface for large-scale scientific c...

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4th International Conference/Exhibition on High Performance Computing in the Asia-Pacific Region, HPC-Asia 2000

作者： Shen, X. Thiruvathukal, G. Liao, W. Choudhary, A. Singh, A. Center for Parallel and Distributed Computing Department of Electrical and Computer Engineering Northwestern University EvanstonIL60208 United States School of Computing Telecommunications and Information Sciences JHPC Laboratory DePaul University United States

ISBN: (纸本)0769505902

Large-scale scientific applications present great challenges to computational scientists in terms of obtaining high performance and in managing large datasets. These applications (most of which are simulations) may employ multiple techniques and resources in a heterogeneously distributed environment. Effective working in such an environment is crucial for modern large-scale simulations. In this paper, we present an integrated Java graphical user interface (IJ-GUI) that provides a control platform for managing complex programs and their large datasets easily. As far as performance is concerned, we present and evaluate our initial implementation of two optimization schemes: data replication and data prediction. Data replication can take advantage of 'temporal locality' by caching the remote datasets on local disks;data prediction, on the other hand, provides prefetch hints based on the datasets' past activities that are kept in databases. We first introduce the data contiguity concept in such an environment that guides data prediction. The relationship between the two approaches is discussed. © 2000 IEEE.

关键词： Forecasting

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Variable- and fixed-structure augmented ZMM algorithms using coordinated turn model

Variable- and fixed-structure augmented ZMM algorithms using...

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3rd International Conference on Information Fusion, FUSION 2000

作者： Semerdjiev, Emil Mihaylova, Ludmila Li, X. Rong Bulgarian Academy of Sciences Central Laboratory for Parallel Processing Acad. G. Bonchev Str. B1.25-A 1113 Sofia Bulgaria University of New Orleans Department of Electrical Engineering New Orleans LA 70148 United States

ISBN: (纸本)2725700000

A new variable-structure (VS) Augmented Interacting Multiple Model (AIMM) technique is developed in the paper. Fixed-structure (FS) and VS AIMM algorithms using augmented constant velocity and augmented coordinated turn (ACT) models, are proposed. The ACT model includes the difference between the unknown current turn rate and its value assumed in the IMM models. Due to the estimated turn rate, significant self-adjusting abilities are provided to the designed AIMM algorithms, which give very good overall accuracy and consistency. Both AIMM algorithms are compared to a particular VS adaptive grid IMM algorithm. It is shown that the VS IMM algorithms possess better mobility, while the FS AIMM algorithm possesses better consistency. The VS AIMM algorithm provides the best estimation of the turn rate. © 2000 Int. Soc. Inf. Fusion.

关键词： Target tracking

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Hierarchical coding of 3-D surfaces using box splines 10

Hierarchical coding of 3-D surfaces using box splines

引用

2000 10th European Signal processing Conference, EUSIPCO 2000

作者： Strintzis, Michael G. Malassiotis, Sotiris Boulgouris, Nikolaos V. Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki54006 Greece Informatics and Telematics Institute 1 Kyvernidou str. Thessaloniki546 39 Greece

ISBN: (纸本)9789521504433

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. © 2000 EUSIPCO.

关键词： Eigenvalues and eigenfunctions

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Wavelet compression of 3D medical images using conditional arithmetic coding

Wavelet compression of 3D medical images using conditional a...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： N.V. Boulgouris A. Leontaris M.G. Strintzis Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

In this paper we investigate the coding of 3D medical images using three-dimensional wavelet decomposition and adaptive arithmetic coding. A highly efficient context arithmetic coding scheme is used in conjunction with classical lifting-based wavelet decompositions. The resulting coder is shown to attain superior performance in comparison to other compression schemes for 3D medical image coding.

关键词： Image coding Biomedical imaging Filter bank Wavelet transforms Image reconstruction Image storage Wavelet analysis Wavelet coefficients Digital arithmetic Information processing

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Three dimensional facial model adaptation

Three dimensional facial model adaptation

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IEEE International Conference on Image processing

作者： N. Sarris M.G. Strintzis Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

This paper addresses the problem of adapting a generic 3D face model to a human face of which the frontal and profile views are given. Assuming that a set of feature points have been detected on both views the adaptation procedure initializes with a rigid transformation of the model aiming to minimize the distances of the 3D model feature nodes from the calculated 3D coordinates of the 2D feature points. Then, a non-rigid transformation ensures that the feature nodes are displaced optimally close to their exact calculated positions, dragging their neighbors in a way that does not deform the facial model in an unnatural way.

关键词： Adaptation model Deformable models Biological system modeling Solid modeling Humans Facial features Eyes Face detection Geometrical optics Spline

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Optimal hierarchical adaptive mesh construction using FCO sampling

Optimal hierarchical adaptive mesh construction using FCO sa...

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International Conference on Information Visualisation (IV)

作者： P. Dafas I. Kompatsiaris M.G. Strintzis Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

This paper introduces an optimal hierarchical adaptive mesh construction algorithm using the face-centered orthorhombic lattice (FCO) sampling which is a natural extension of the quincunx lattice to the 3-dimensional case. A scheme for construction of adaptive meshes is presented. Initially, a highly detailed and densely sampled regular mesh is obtained from geometry scanning or from a nonoptimal polygon mesh. The adaptive triangle mesh is constructed by using fixed position vertices along with an efficient adaptive triangulation technique. The decimation is based on FCO sampling and surface estimation filters. The result is a progressive sequence of meshes consisting of more triangles wherever sharp edges exist and fewer in uniform plane regions. Experimental results demonstrate the usage and performance of the algorithm.

关键词： Sampling methods Image coding Lattices Signal processing algorithms Information processing Laboratories Personal digital assistants Face Geometry Topology

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A novel neural network technique for the detection of human faces in visual scenes

A novel neural network technique for the detection of human ...

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Seminar on Neural Network Applications in electrical engineering

作者： N. Sarris N. Grammalidis M.G. Strintzis Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (纸本)0780355121

This paper presents a user interactive system that manages, with minimum user interaction, to locate a set of characteristic feature points in the frontal view of a person's face. Our method is user adaptive and is implemented as a combination of a classification-based facial region extraction technique with a transition based facial feature extraction method. First, we allow the system to be trained to recognize image blocks belonging to the facial area by proper training of a feedforward neural network. Then, we initialize the feature detection algorithm with a blink of the user's eyes, which localizes the exact contours of the eyes. Finally, we locate the remaining facial features (face contour, eyebrows, mouth and nose) by adaptively thresholding the facial area and utilizing knowledge of the geometrical structure of the face.

关键词： Face detection Neural networks Humans Facial features Eyes Interactive systems Face recognition Image recognition Feedforward neural networks computer vision

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Spatiotemporal segmentation and tracking of objects in color image sequences

Spatiotemporal segmentation and tracking of objects in color...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： I. Kompatsiaris G. Mantzaras M.G. Strintzis Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

In this paper a procedure is described for the segmentation and tracking of objects in color image sequences. For this purpose, we propose the novel procedure of K-Means with a connectivity constraint algorithm as a general segmentation algorithm combining several types of information including color, motion and compactness. In this algorithm, the use of spatiotemporal regions is introduced since a number of frames is analyzed simultaneously and as a result the same region is present in consequent frames. Experimental results in real image sequences evaluate the performance of the algorithm.

关键词： Spatiotemporal phenomena Image segmentation Color Image sequences MPEG 4 Standard Clustering algorithms Streaming media Standards development Layout Information processing

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Variable- and fixed-structure augmented ZMM algorithms using coordinated turn model

Variable- and fixed-structure augmented ZMM algorithms using...

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International Conference on Information Fusion

作者： E. Semerdjiev L. Mihaylova X.R. Li Central Laboratory for Parallel Processing Bulgarian Academy of Sciences Sofia Bulgaria Department of Electrical Engineering University of New Orleans New Orleans USA

关键词： Inference algorithms Algorithm design and analysis Target tracking Electronic mail Uncertainty Control systems Military aircraft Laboratories parallel processing Testing

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