检索结果-内蒙古大学图书馆

2007年

作者： Gerhard X Ritter Mark Steven Schmalz Junior Barrera Jaakko T Astola

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Generation of lattice independent vector sets for pattern recognition applications

Generation of lattice independent vector sets for pattern re...

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Conference on mathematics of data/image pattern Recongnition, compression, Coding, and encryption X, with applications

作者： Urcid-S., Gonzalo Valdiviezo-N., Juan-Carlos INAOE Dept Opt Puebla 72000 Mexico

ISBN: (纸本)9780819468482

Lattice independence and strong lattice independence of a set of pattern vectors are fundamental mathematical proper-ties that lie at the core of pattern recognition applications based on lattice theory. Specifically, the development of morphological associative memories robust to inputs corrupted by random noise are based on strong lattice independent sets, and real world problems, such as, autonomous endmember detection in hyperspectral imagery, use auto-associative morphological memories as detectors of lattice independence. In this paper, we present a unified mathematical framework that-develops the relationship between different notions of lattice independence currently used in the literature. Computational procedures are provided to test if a given set of pattern vectors is lattice independent or strongly lattice independent;in addition, different techniques are fully described that can be used to generate sets of vectors with the aforementioned lattice properties.

关键词： lattice associative memories lattice independence morphological neural networks

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recognition of Compton scattering patterns in advanced Compton telescopes

Recognition of Compton scattering patterns in advanced Compt...

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Conference on mathematics of data/image pattern Recongnition, compression, Coding, and encryption X, with applications

作者： Zoglauer, Andreas Boggs, Steven E. Andritschke, Robert Kanbach, Gottfried Univ Calif Berkeley Space Sci Lab 7 Gauss Way Berkeley CA 94720 USA Max Planck Inst Halbleiterlab Munich Germany Max Planck Inst Extraterr Phys Garching Germany

ISBN: (纸本)9780819468482

The next generation of Compton telescopes (such as MEGA or NCT) will detect impinging gamma rays by measuring one or more Compton interactions, possibly electron tracks, and a final photo absorption. However, the recovery of the original parameters of the photon, especially its energy and direction, is a challenging task, since the measured data only consists of a set of energy and position measurements and their ordering, i.e. the path of the photon, is unknown. Thus the main tasks of the pattern recognition algorithm are to identify the interaction sequence of the photon (i.e. which hit is the start point) and distinguish the pattern from background signatures, especially incompletely absorbed events. The most promising approach up to now is based on Bayesian statistics: The Compton interactions are parameterized in a multi-dimensional data space, which contains the interaction information of the Compton sequence as well as geometry information of the detector. For each data space cell the probability that the corresponding interaction sequence is one of a correctly ordered, completely absorbed source photon can be determined by Bayesian statistics and detailed simulations. This probability can then be used to distinguish source photons from incompletely absorbed photons. Simulations show that the Bayesian approach can improve the 68% event containment of the ARM distribution by up to 40%, and results in a much better separation between '' good '' and '' bad '' events. In addition, sensitivity improvements up to a factor 1.7 can be achieved.

关键词： pattern recognition event reconstruction Compton scattering Compton telescope Bayes' law

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Bit plane encoding and encryption

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2nd International Conference on pattern recognition and Machine Intelligence

作者： Yekkala, Anil Madhavan, C. E. Veni Philips Elect India Ltd Bangalore Karnataka India Indian Inst Sci Bangalore Karnataka India

ISBN: (纸本)9783540770459

The rapid growth in multimedia based Internet systems and applications like video telephony, video on demand and also tele-medicine has created a great need for multimedia security. One of the important requirements for multimedia security is encryption. Owing to the size of multimedia data and real time requirements, lightweight encryption schemes are important. Lightweight encryption schemes are based on taking the structure of multimedia data into consideration and partially encrypting the content. Even though several lightweight encryption schemes are existing for lossy compression schemes, their do not exist any lightweight encryption scheme for lossless compression. In this paper we present a lossless compression scheme for image, and we show how this scheme can be also used for supporting scalable lightweight encryption.

关键词： image coding

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The synaptic morphological perceptron

The synaptic morphological perceptron

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Conference on mathematics of data/image pattern recognition, compression and encryption with Application ix

作者： Myers, Daniel S. Sandia Natl Labs Albuquerque NM 87185 USA

ISBN: (纸本)0819463949

In recent years, several researchers have constructed novel neural network models based on lattice algebra. Because of computational similarities to operations in the system of image morphology, these models are often called morphological neural networks. One neural model that has been successfully applied to many pattern recognition problems is the single-layer morphological perceptron with dendritic structure (SLMP). In this model, the fundamental computations are performed at dendrites connected to the body of a single neuron. Current training algorithms for the SLMP work by enclosing the target patterns in a set of hyperboxes orthogonal to the axes of the data space. This work introduces an alternate model of the SLMP, dubbed the synaptic morphological perceptron (SMP). In this model, each dendrite has one or more synapses that receive connections from inputs. The SMP can learn any region of space deter-mined by an arbitrary configuration of hyperplanes, and is not restricted to forming hyperboxes during training. Thus, it represents a more general form of the morphological perceptron than previous architectures.

关键词： morphological neural network morphological perceptron lattice algebra pattern recognition

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Maximizing reading: pattern analysis to describe points of gaze

Maximizing reading: pattern analysis to describe points of g...

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Conference on mathematics of data/image pattern recognition, compression and encryption with Application ix

作者： Paeglis, Roberts Bagucka, Kristine Sjakste, Nikolajs Lacis, Ivars Latvian Univ Dept Vis Sci 8 Kengaraga Str LV-1063 Riga Latvia Univ Latvia Fac Med LV-1001 Riga Latvia

ISBN: (纸本)0819463949

As people read texts, their points of gaze can be described either as a sequence or as a pattern of dots. If reading fixations are visualized as a pattern and their duration is graphically attributed to the 3(rd) dimension, image processing techniques can be employed to describe individual reading styles. Two reader groups of text editors and of University students were matching according to parametric tests. Yet they appeared to have marked inter-subject variability of fixation distribution when individual cases were considered. To illustrate this, we applied a simple "Coulomb law"- like model that takes both fixation duration and spacing into account. Further the image entropy filter was shown to distinguish the readers by the extreme value points. Statistical averaging can level out differences in reading patterns that appear by image processing techniques.

关键词： skilled reader eye movements fixation texture MATLAB iViewX

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Three-dimensional imaging and processing using computational holographic imaging

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PROCEEDINGS OF THE IEEE 2006年第3期94卷 636-653页

作者： Frauel, Y Naughton, TJ Matoba, O Tajahuerce, E Javidi, B Univ Nacl Autonoma Mexico Dept Comp Sci Mexico City 04510 DF Mexico Natl Univ Ireland Dept Comp Sci Maynooth Kildare Ireland Kobe Univ Dept Comp & Syst Engn Kobe Hyogo 6578501 Japan Univ Jaume 1 Dept Ciencias Expt Castellon de La Plana Spain Univ Connecticut Elect & Comp Engn Dept Storrs CT 06269 USA

Digital holography is a technique that permits digital capture of holograms and subsequent processing on a digital computer. This paper reviews various applications of this technique. The presented applications cover three-dimensional (3-D) imaging as well as several associated problems. For the case of 3-D imaging, optical and digital methods to reconstruct and visualize the recorded objects are described. In addition, techniques to compress and encrypt 3-D information in the form of digital holograms are presented. Lastly, 3-D pattern recognition applications of digital holography are discussed. The described techniques constitute a comprehensive approach to 3-D imaging and processing.

关键词： computational holographic imaging three-dimensional data compression three-dimensional image encryption three-dimensional image processing three-dimensional object recognition

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Capture, encryption, compression, and display of digital holograms of three-dimensional objects

Capture, encryption, compression, and display of digital hol...

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International Conference on Holography, Optical Recording and Processing of Information

作者： Gopinathan, Unnikrishnan Monaghan, David S. Shortt, Alison E. Naughton, Thomas J. Sheridan, John T. Javidi, Bahram Univ Coll Dublin Dept Elect & Elect Engn Dublin 4 Ireland Natl Univ Ireland Dept Comp Sci Kildare Maynooth County Ireland Univ Connecticut Elect & Comp Engn Storrs CT 06269 USA

ISBN: (纸本)0819463116

Digital holography can be used to capture the whole Fresnel field from a reflective or transmissive object. applications include imaging and display of three-dimensional (3D) objects, and encryption and pattern recognition of two-dimensional (2D) and 3D objects. Often, these optical systems employ discrete spatial light modulators (SLMs) such as liquid-crystal displays. In the 2D case, SLMs can encode the inputs and keys during encryption and decryption. For 3D processing, the SLM can be used as part of an optical reconstruction technique for 3D objects, and can also represent the key during encryption and decryption. However, discrete SLMs can represent only discrete levels of data necessitating a quantisation of continuous valued analog information. To date, many such optical systems have been proposed in the literature, yet there has been relatively little experimental evaluation of the practical performance of discrete SLMs in these systems. In this paper, we characterise conventional phase-modulating liquid-crystal devices and examine their limitations (in terms of phase quantisation, alignment tolerances, and nonlinear response) for the encryption of 2D and 3D data. Finally, we highlight the practical importance of a highly controlled discretisation (optimal quantisation) for compression of digital holograms.

关键词： digital holography optical encryption quantization spatial light modulator image compression three-dimensional image processing

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Recovery of 3-D human posture from double views

Recovery of 3-D human posture from double views

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Conference on mathematics of data/image Coding, compression, and encryption VI, with applications

作者： Sun, Y Li, MH He, YH Dalian Univ Technol Sch Elect & Informat Engn Dalian 116024 Peoples R China

ISBN: (纸本)0819450812

The 3-D estimation of human motion captured by a video camera(s) is becoming a challenging scientific task. In this C, paper, two important problems are addressed: the acquisition of 3-D coordinates of human's body parts, and the key-frame-based human motion prediction. To the key frames, a fuzzy pattern matching method is adopted to detect and get 2-D image coordinates of the face in each image sequence. After stereo matching of the same feature point, we use a binocular imaging model to accomplish the acquisition of 3-D coordinates of the head. Out of the key frames, we use a Kalman estimator to predict the motion of human body parts. At the end of the paper, the experimental result and discussion are given.

关键词： key frame fuzzy pattern matching stereo imaging Kalman filter prediction

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Texture based steganalysis: results for color images

Texture based steganalysis: results for color images

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7th Conference on mathematics of data/image Coding, compression, and encryption

作者： Lafferty, P Ahmed, F Catholic Univ Amer Washington DC 20064 USA

ISBN: (纸本)0819454990

Steganographic and watermarking information inserted into a color image file, regardless of embedding algorithm, causes disturbances in the relationships between neighboring pixels. A method for steganalysis utilizing the local binary pattern (LBP) texture operator to examine the pixel texture patterns within neighborhoods across the color planes is presented. Providing the outputs of this simple algorithm to an artificial neural net capable of supervised learning results in the creation of a surprisingly reliable predictor of steganographic content, even with relatively small amounts of embedded data. Other tools for identifying images with steganographic content have been developed by forming a neural network input vector comprised of image statistics that respond to particular side effects of specific embedding algorithms. The neural net in our experiment is trained with general texture related statistics from clean images and images modified using only one embedding algorithm, and is able to correctly discriminate clean images from images altered by data embedded by one of various different watermarking and steganographic algorithms. Algorithms tested include various steganographic and watermarking programs and include spatial and transform domain image hiding techniques. The interesting result is that clean color images can be reliably distinguished from steganographically altered images based on texture alone, regardless of the embedding algorithm.

关键词： watermarking steganography steganalysis LBP local binary pattern texture analysis neural network

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