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检索条件"机构=Computer Graphics and Image Processing Research Laboratory"

共 360 条记录，以下是281-290 订阅

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Elastic wave propagation modeling on emulated digital CNN-UM architecture

Elastic wave propagation modeling on emulated digital CNN-UM...

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

作者： P. Kozma P. Sonkoly P. Szolgay Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary Department of Image Processing and Neurocomputing University of Veszprém Hungary Analogic and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary

The synthetic seismogram has seen many years of widespread and successful application in geophysical prospecting. It is used to simulate the normal incidence reflectivity of a heterogeneous medium and has been employed more recently to obtain the responses of subsurface structural and stratigraphic configurations. The propagation of seismic waves has to be modeled to create synthetic seismograms. The solution of the partial differential equations of motion describing the propagation of stress waves in an elastic medium requires enormous computation power. In this paper a solution of seismic wave propagation will be presented on CNN-UM architecture. Unfortunately the space-dependent equations and the low computational precision do not make it possible to utilize the huge computing power of the analog CNN-UM chips so the Falcon emulated digital CNN-UM architecture is used to implement our solution.

关键词： Partial differential equations computer architecture Cellular neural networks Geophysics computing Seismic waves Stress Analog computers image processing Very large scale integration Numerical models

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A low-level approach to semantic classification of mobile multimedia content

A low-level approach to semantic classification of mobile mu...

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The 2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, 2005. EWIMT 2005. (Ref. No. 2005/11099)

作者： A. Mariappan M. Igarta C. Taskiran B. Gandhi E.J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Multimedia Research Lab Motorola Research Laboratories Schaumburg IL USA

Pseudo-semantic labeling is a novel approach to organize mobile multimedia content such as images and videos. We have developed low-complexity algorithms to derive labels, such as "indoor/outdoor", "face/not face", that can be run on the mobile device. "Indoor/outdoor" classification is done based on the presence of sky in the images. Skin like pixels are detected based on the color information and if present they are matched to a pre-defined "facetemplate" to detect the presence of faces in images. We have developed an initial framework for finding the degree of blurriness in an image, which can be used for labels like "blurry/not blurry".

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Using a Free-Parts Representation for Visual Speech Recognition

Using a Free-Parts Representation for Visual Speech Recognit...

引用

Proceedings of the Digital image Computing: Technqiues and Applications (DICTA)

作者： P. Lucey S. Lucey S. Sridharan Queensland University of Technology Speech Audio Image and Video Research Laboratory Brisbane Australia Advanced Multimedia Processing Laboratory Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA

Motivated by the success of free-parts based representations in face recognition, we have attempted to address some of the problems associated with applying such a philosophy to the task of speaker-independent visual speech recognition. A major problem with canonical area-based approaches in automatic visual speech recognition is the dependence these approaches have on locating and tracking the speaker’s region of interest (ROI) correctly. By employing a free-parts representation,we assume that the position/structure of patches within the mouth image can be relaxed so they can "freely" move to varying extents, hence reducing the influence of the front-end effect. In this paper, we show that by using a free-parts representation we gain some robustness against the problem of ROI localisation and tracking compared to current area-based feature extraction techniques such as the discrete cosine transform (DCT). Also in this paper, we expose the importance of representation for the task of visual speech recognition highlighted by the poor results current representations yield.

关键词： Speech recognition Mouth Hidden Markov models Laboratories Face recognition Feature extraction Discrete cosine transforms Robustness Automatic speech recognition Pixel

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Clustering by principal curve with tree structure

Clustering by principal curve with tree structure

引用

International Symposium on Signals, Circuits and Systems (ISSCS)

作者： I. Cleju P. Franti Xiaolin Wu Multimedia Signal Processing Group Department of Computer and Information Science University of Karlsruhe Konstanz Germany Speech and Image Processing Research Group Department of Computer Science University of Joensuu Joensuu Finland Multimedia Computing and Comucations Laboratory Department of Etectrical and Computer Engineering McMaster University Hamilton ONT Canada

Data clustering is intensively used in signal processing in tasks such as multimedia compression, segmentation and pattern matching. In this work we extend the use of principal curves in clustering to complex multidimensional datasets. The use of principal curve in clustering is limited for high complexity data. Automatic parameterization of the principal curve to assure good results for different datasets is a difficult task. We propose to use the tree structure to capture the general settlement of the data. Using this topology, regions of the dataset can be extracted, individually clustered using the principal curve and then optimally recombined. The experiments show the improvement of the new method over the principal curve based clustering and the good performance compared to other clustering methods.

关键词： Tree data structures Clustering algorithms Partitioning algorithms Multimedia computing Quantization computer science Pattern matching Data mining Application software Information science

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Radar backscattering model for multilayer mixed-species forests

Radar backscattering model for multilayer mixed-species fore...

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作者： Liang, Pan Moghaddam, Mahta Pierce, Leland E. Lucas, Richard M. IEEE Atmospheric and Environmental Research Inc. Lexington MA Department of Electrical Engineering and Computer Science Radiation Laboratpry University of Michigan Ann Arbor URSI Commission B Electromagnetics Academy Phi Kappa Phi Tau Beta Pi Eta Kappa Nu Microwave Image Processing Facility Within the Radiation Laboratory Electrical Engineering and Computer Science Department University of Michigan University of Wales Aberystwyth Aberystwyth United Kingdom Radiation Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109-2122 United States Institute of Geography and Earth Sciences University of Wales Aberystwyth SY23 3DB United Kingdom

A multilayer canopy scattering model is developed for mixed-species forests. The multilayer model provides a significantly enhanced representation of actual complex forest structures compared to the conventional canopy-trunk layer models. Multilayer Michigan Microwave Canopy Scattering model (Multi-MIMICS) allows overlapping layer configuration and a tapered trunk model applicable to forests of mixed species and/or mixed growth stages. The model is the first-order solution to a set of radiative transfer equations and includes layer interactions between overlapping layers. It simulates SAR backscattering coefficients based on input dimensional, geometrical, and dielectric variables of forest canopies. The Multi-MIMICS is an efficient realization of actual forest structures and can be shaped for specific interest of forest parameters. We present the model's application and validation in the paper. The model is parameterized using data collected from a 220 000-ha area of forests in central Queensland, Australia. Fifteen 50 × 50 m test sites representing the general forest diversity and growth stages are chosen as ground truth. Polarimetric backscattering Airborne SAR (AIRSAR) data of the same area are acquired to validate the model simulations. The model predicts SAR backscattering coefficients of the test areas. Simulation results show a good agreement with AIRSAR data at most frequencies and polarizations. The simulated backscattering coefficient from the multilayer model and the standard MIMICS are also compared and significant improvements are observed. © 2005 IEEE.

关键词： Mathematical models

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On Estimation Of 3D Hand Position Using Stereo Vision 19

On Estimation Of 3D Hand Position Using Stereo Vision

引用

19th International Conference on computers and Their Applications, CATA 2004

作者： Teruel, M.B. Kubushyna, O. El-Khater, R. Yfantis, E.A. Boyle, R. Computer Graphics and Image Processing Laboratory School of Computer Science University of Nevada Las Vegas Las VegasNV89154-4019 United States NASA Ames Research Center Moffett FieldCA94035-1000 United States

ISBN: (纸本)9781618395511

In this paper an approach for reconstructing the position of an object from a pair of stereo images that allows for a fast and effective hand tracking and 3D gesture reconstruction is presented. The algorithm will serve as a building block for more advanced tasks such as the reconstructing a complete 3D hand model from multiple views using feature extraction based on color and shape. Copyright © (2004) by the International Society for computers and Their Applications. All rights reserved.

关键词： Stereo image processing

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Adaptive lossless video compression using an integer wavelet transform

Adaptive lossless video compression using an integer wavelet...

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2004 International Conference on image processing, ICIP 2004

作者： Park, Sahng-Gyu Delp, Edward J. Yu, Haoping Video and Image Processing Laboratory School of Electrical and Computer Engineering Purdue University West Lafayette IN United States Corporate Research Group Thomson Indianapolis IN United States

ISBN: (纸本)0780385543

In this paper, we describe an adaptive lossless compression algorithm for color video sequences utilizing backward adaptive temporal prediction and an integer wavelet transform. We exploit two redundancies in color video sequences, specifically spatial and temporal redundancies. We show that an adaptive scheme exploiting the two redundancies has better compression performance than lossless compression of individual image frames. The result of the proposed scheme is compared to current video compression algorithms. ©2004 IEEE.

关键词： image compression

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Object recognition using local information content

Object recognition using local information content

引用

International Conference on Pattern Recognition

作者： G. Fritz L. Paletta H. Bischof Joanneum Research Institute of Digital Image Processing Graz Austria Institute of Computer Graphics and Vision Graz University of Technology Graz Austria

Object identification from local information has recently been investigated with respect to its potential for robust recognition, e.g., in case of partial object occlusions, scale variation, noise, and background clutter in detection tasks. This work contributes to this research by a thorough analysis of the discriminative power of local appearance patterns and by proposing to exploit local information content for object representation and recognition. In a first processing stage, we localize discriminative regions in the object views from a posterior entropy measure, and then derive object models from selected discriminative local patterns. Object recognition is then applied to test patterns with associated low entropy using an efficient voting process. The method is evaluated by various degrees of partial occlusion and Gaussian image noise, resulting in highly robust recognition even in the presence of severe occlusion effects.

关键词： Object recognition Noise robustness Entropy Background noise Object detection Information analysis Pattern analysis Pattern recognition Testing Voting

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Collaborative interactions on 3D display for multi-user game environments

引用

6th Asia Pacific Conference on computer Human Interaction, APCHI 2004

作者： Choi, Jeong-Dan Jang, Byung-Tae Hwang, Chi-Jeong Telematics Solution Research Team Telematics Research Department Electronic and Telecommunications Research Institute 161 Gajeong-dong Yuseong-gu Dajeon305-350 Korea Republic of Image Processing Laboratory Computer Engineering Department Chungnam National University 220 Gung-dong Yuseong-gu Daejeon305-764 Korea Republic of

ISBN: (纸本)3540223126

This paper describes a method to integrate VR interfaces on 3D display for multiuser game environments, which addresses the problem of synchronization and calibration multiple devices together to treat game events. The challenge we interest in is how to build and use a low cost 3D display that collaborative interact for multi-user immersive game requirements. In the multi-user VR game, 3D display is an important component that supports immersion to gamer. So our display system is supported by following two methods. Projection-based screen system makes it possible to display on large-sized surface. Stereo sea-through HMD is to produce private area as well as public area: a viewer-oriented and private information display. To accomplish this system, we concrete a multi-projector system for creating a seamless wide-area view, head mounted device to play game, and gesture recognition system for collaborative interactions. Our preliminary system is well suited for jungle hunting as game contents with surround displays running on a PC clusters. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Three dimensional displays

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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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