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检索条件"机构=Image processing and Neurocomputing"

共 75 条记录，以下是41-50 订阅

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image inpainting methods by using cellular neural networks

Image inpainting methods by using cellular neural networks

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： A. Gacsadi P. Szolgay Electronics Department University of Oradea Oradea Romania Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Image Processing and Neurocomputing Department Veszprem University Veszprem Hungary

Some CNN methods are presented that can be used for the reconstruction of damaged or partially known images. The proposed methods take the possibility of direct implementation on an existing CNN chip into account, in a single step, by using 3*3 dimensional linear reaction templates. Due to complete parallel processing, computational time reduction is achieved. Efficiency of these methods can be increased by combining them with nonlinear template that ensures the growth of the local properties spreading area along with regional ones.

关键词： Cellular neural networks image processing image restoration Partial differential equations image reconstruction Parallel processing Concurrent computing Cost function Gray-scale Laboratories

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Multimedia and virtual reality in the rehabilitation of autistic children

Multimedia and virtual reality in the rehabilitation of auti...

引用

9th International Conference on Computers Helping People with Special Needs, ICCHP 2004

作者： Lányi, Cecília Sik Tilinger, Ádám Department of Image Processing and Neurocomputing University of Veszprém Egyetem u. 10 VeszprémH-8200 Hungary

ISBN: (纸本)3540223347

At present autism is beyond recovery, thus the only way that autistic children can adapt themselves to grown-up life is rehabilitation. As the application of computers becomes more and more general in teaching healthy children so does it in teaching children with learning disabilities. Thence a multimedia and virtual reality software package was designed for the rehabilitation of autistic children. This paper presents the developed programs and the results of their usability test. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Patient rehabilitation

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Emulated digital CNN-UM implementation of a barotropic ocean model

Emulated digital CNN-UM implementation of a barotropic ocean...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Z. Nagy P. Szolgay Department of Image Processing and Neurocomputing University of Veszprem Veszprem Hungary

The solution of partial differential equations (PDE) has long been one of the most important fields of mathematics, due to the frequent occurrence of spatio-temporal dynamics in many branches of physics, engineering and other sciences. One of the most exciting area is the simulation of compressible and incompressible fluids which appears in many important applications in aerodynamics, meteorology and oceanography. On the other hand the solution of these equations requires enormous computing power. In this paper a CNN-UM simulation of ocean currents is presented. Unfortunately the non-linearity of the governing equations does not make possible to utilize the huge computing power of the analog CNN-UM chips. To improve the performance of our solution an emulated digital CNN-UM is used where the cell model of the architecture is modified to handle the non-linearity of the model.

关键词： Oceans Aerodynamics Computational modeling Nonlinear equations Partial differential equations Mathematics Fluid dynamics Physics Power engineering and energy Meteorology

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Morphological and wave segmentation by cellular neural networks

Morphological and wave segmentation by cellular neural netwo...

引用

Seminar on Neural Network Applications in Electrical Engineering

作者： T. Szabo P. Szolgay Neurocomputing and Image Processing Department University of Veszprém Veszprem Hungary Analogical and Neural Computing Laboratory Hungarian Academy of Sciences Hungary

This paper aims to carry out region-based segmentation in medical images. The main goal is to separate regions with the image features of a stroke, and moreover to develop algorithms for a special type of neural netwo... 详细信息

关键词： Cellular neural networks image segmentation Smoothing methods Biomedical imaging Analog computers Computer networks Concurrent computing Neural networks Anatomical structure Gaussian processes

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Hand gesture recognition in camera-projector system

引用

8th European Conference on Computer Vision, ECCV 2004 and International Workshop on Human-Computer Interaction, HCI 2004

作者： Licsár, Attila Szirányi, Tamás University of Veszprém Department of Image Processing and Neurocomputing Egyetem u. 10 VeszprémH-8200 Hungary Analogical and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kendeu. 13-17 BudapestH-1111 Hungary

ISBN: (纸本)3540220127

Our paper proposes a vision-based hand gesture recognition system. It is implemented in a camera-projector system to achieve an augmented reality tool. In this configuration the main problem is that the hand surface reflects the projected background, thus we apply a robust hand segmentation method. Hand localizing is based on a background subtraction method, which adapts to the changes of the projected background. Hand poses are described by a method based on modified Fourier descriptors, which involves distance metric for the nearest neighbor classification. The proposed classification method is compared to other feature extraction methods. We also conducted tests on several users. Finally, the recognition efficiency is improved by the recognition probabilities of the consecutive detected gestures by maximum likelihood approach. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Augmented reality

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Dynamic training of hand gesture recognition system

Dynamic training of hand gesture recognition system

引用

International Conference on Pattern Recognition

作者： A. Licsar T. Sziranyi Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary Analogical & Neural Computing Laboratory Computer & Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

We developed an augmented reality tool for vision-based hand gesture recognition in a camera-projector system. Our recognition method uses modified Fourier descriptors for the classification of static hand gestures. Hand segmentation is based on a background subtraction method, which is improved to handle background changes. Most of the recognition methods are trained and tested by the same service-person, and training phase occurs only preceding the interaction. However, there are numerous situations when several untrained users would like to use gestures for the interaction. In our new practical approach the correction of faulty detected gestures is done during the recognition itself. Our main result is the quick on-line adaptation to the gestures of a new user to achieve user-independent gesture recognition.

关键词： Computer displays Cameras Fault detection Mice Hardware Phase detection System testing Feedback Auditory displays image processing

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Depth-based indexing and retrieval of photographic images1

引用

8th International Workshop on Visual Content processing and Representation, VLBV 2003

作者： Czúni, László Csordás, Dezso Department of Image Processing and Neurocomputing University of Veszprém Egyetem u. 10 Veszprém8200 Hungary

ISBN: (纸本)3540200819

This paper proposes a new technique for image capture, indexing, and retrieval to implement a content-based image retrieval (CBIR) system more similar to the way people remember the real world [2]. The introduced technique uses range from focus technique to gather 3D information of a scene. The obtained depth-map is segmented and stored together with each individual image in database files. During retrieval the user can describe the query image not only in a conventional way but also with a layered representation where a few (typically 3) depth layers define the distance from the camera. This paper describes the beginning of our research with some preliminary results showing that depth information can be efficiently used in CBIR systems. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Query processing

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Measuring the motion similarity in video indexing

Measuring the motion similarity in video indexing

引用

IEEE Region 8 International Symposium on Video/image processing and Multimedia Communications (EURASIP)

作者： A. Hanis T. Sziranyi Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary

Recent growth in the number of digital videos available motivates the development of video databases for the efficient management of these videos. Common video databases use image information calculated from key frames such as color, texture, shape to index videos, and only few of them are capable to store and retrieve motion information. In this paper we present a method for automatic motion based video indexing and retrieval. A prototype system has been developed, which automatically splits a video into shorter unit called shots, extract representative frames from each shot and estimates motion information in the neighborhood of the r-frame with the phase correlation method. A query can be an extracted motion information of a short sample image sequence, or a quantitatively given motion intensity in five region of the frame.

关键词： Motion measurement Indexing image databases Data mining Shape Indexes Information retrieval image retrieval Prototypes Motion estimation

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Configurable multi-layer CNN-UM emulator on FPGA using distributed arithmetic

Configurable multi-layer CNN-UM emulator on FPGA using distr...

引用

9th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2002

作者： Nagy, Zoltán Szolgay, Péter Department of Image Processing and Neurocomputing University of Veszprém Egyetem u. 10 H-8200 Veszprém Hungary

ISBN: (纸本)0780375963

A new emulated digital multi-layer CNN-UM chip architecture called Falcon has been developed. Simulation runtimes can be hundred times shorter using the Falcon processor array compared to the software simulation. This huge computing power makes real time image processing possible. In this paper the main steps of the FPGA implementation and optimization are introduced. The Distributed Arithmetic technique is used to optimize the architecture on FPGAs. Using this technique, smaller and faster arithmetic units can be designed than the conventional approach where multiplier cores and adder trees are used to compute the state equation of the CNN array. © 2002 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Configurable multi-layer CNN-UM emulator on FPGA using distributed arithmetic

Configurable multi-layer CNN-UM emulator on FPGA using distr...

引用

IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Z. Nagy P. Szolgay Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary

A new emulated digital multi-layer CNN-UM (cellular neural network universal machine) chip architecture called Falcon has been developed. Simulation runtimes can be a hundred times shorter using the Falcon processor array compared to the software simulation. This huge computing power makes real time image processing possible. In this paper, the main steps of the FPGA implementation and optimization are introduced. A distributed arithmetic technique is used to optimize the architecture on FPGAs. Using this technique, smaller and faster arithmetic units can be designed than the conventional approach where multiplier cores and adder trees are used to compute the state equation of the CNN array.

关键词： Field programmable gate arrays Arithmetic Cellular neural networks Equations Finite impulse response filter Computer architecture image processing Computational modeling Runtime Analog computers

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