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10th IEEE Singapore International Conference on Communications Systems, ICCS 2006

作者： Ngo, Hau T. Asari, Vijayan K. Computational Intelligence and Machine Vision Laboratory Department of Electrical and Computer Engineering Old Dominion University Norfolk VA 23529 United States

ISBN: (纸本)1424404118

Design of a low power Multiply-and-Accumulator (MAC) unit for video processing systems exploiting the similarity of neighboring pixels in video streams is presented in this paper. The proposed technique minimizes dynamic power consumption by analyzing the bit patterns in the input data to reduce switching activities. Special values of the pixels in the video streams such as zero, one, repeated values or repeated bit combinations are detected and control signals are generated to bypass the data and to reuse the results in the MAC unit. It is observed that the proposed scheme helps to reduce operations and switching activities in the MAC unit up to 30% which results in lower power consumption with minimal hardware overhead. © 2006 IEEE.

关键词： Pixels

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Gabor wavelet based modular PCA approach for expression and illumination invariant face recognition

Gabor wavelet based modular PCA approach for expression and ...

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35th applied Imagery and Pattern Recognition Workshop, AIPR 2006

作者： Gudur, Neeharika Asari, Vijayan Computational Intelligence and Machine Vision Laboratory Department of Electrical and Computer Engineering Old Dominion University Norfolk VA 23529-0246 United States

ISBN: (纸本)0769527396

A Gabor wavelet based Modular PCA approach for face recognition is proposed in this paper. The proposed technique improves the efficiency of face recognition, under varying illumination and expression conditions for face images when compared to traditional PCA techniques. In this algorithm the face images are divided into smaller sub-images called modules and a series of Gabor wavelets at different scales and orientations are applied on these localized modules for feature extraction. A modified PCA approach is then applied for dimensionality reduction. Due to the extraction of localized features using Gabor wavelets, the proposed algorithm is expected to give improved recognition rate when compared to other traditional techniques. The performance of the proposed technique is evaluated under conditions of varying illumination, expression and variation in pose up to a certain range using standard face databases. © 2006 IEEE.

关键词： Face recognition

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IEEE International Conference on engineering of Intelligent Systems

作者： Qaiser, Naeem Hussain, Mutawarra Hussain, Amir Iqbal, Nabeel Qaiser, Nadeem Department of Computer and Information Sciences Pakistan Institute of Engineering and Applied Sciences Pakistan Computational Intelligence Research Group University of Stirling United Kingdom Centre for Advanced Studies in Engineering Islamabad Pakistan Department of Electrical Engineering Pakistan Institute of Engineering and Applied Sciences Pakistan

ISBN: (纸本)9781424404568

As can be observed from the literature survey, there is no commonly accepted quantitative definition of visual texture. As a consequence, researchers seeking a quantitative texture measure have been forced to search intuitively for texture features, and then attempt to evaluate their performance by different techniques. Dissimilarity analysis is one of the main requirements from the classifier design point of view and provides information of significant importance - regarding feature extraction and selection strategies. This paper explores several texture features of historical and practical significance and presents their comprehensive dissimilarity analysis. An improved post processing scheme has also been proposed for Law's filter based feature extraction technique. Results show a substantial improvement over existing scheme. Cross validation of the results has been accomplished through supervised classification using Probabilistic Neural Network.

关键词： Image classification

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Gene Expression Data for DLBCL Cancer Survival Prediction with A Combination of Machine Learning Technologies

Gene Expression Data for DLBCL Cancer Survival Prediction wi...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Rui Xu Xindi Cai D.C. Wunsch Applied Computational Intelligence Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA

Gene expression profiles have become an important and promising way for cancer prognosis and treatment. In addition to their application in cancer class prediction and discovery, gene expression data can be used for the prediction of patient survival. Here, we use particle swarm optimization (PSO) to address one of the major challenges in gene expression data analysis, the curse of dimensionality, in order to discriminate high risk patients from low risk patients. A discrete binary version of PSO is used for gene selection and dimensionality reduction, and a probabilistic neural network (PNN) is implemented as the classifier. The experimental results on the diffuse large B-cell lymphoma data set demonstrate the effectiveness of PSO/PNN system in survival prediction

关键词： Gene expression Cancer Machine learning computational intelligence Laboratories USA Councils Biomedical engineering Logistics Error correction Equations

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Autonomous learning of object appearances using colour contour frames

Autonomous learning of object appearances using colour conto...

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3rd Canadian Conference on computer and Robot Vision, CRV 2006

作者： Forssén, Per-Erik Moe, Anders Laboratory for Computational Intelligence Department of Computer Science 2366 Main Mall BC V6T 1Z4 Canada Computer Vision Laboratory Department of Electrical Engineering Linköping University SE-581 83 Linköping Sweden

ISBN: (纸本)0769525423

In this paper we make use of the idea that a robot can autonomously discover objects and learn their appearances by poking and prodding at interesting parts of a scene. In order to make the resultant object recognition ability more robust, and discriminative, we replace earlier used colour histogram features with an invariant texture-patch method. The texture patches are extracted in a similarity invariant frame which is constructed from short colour contour segments. We demonstrate the robustness of our invariant frames with a repeatability test under general homography transformations of a planar scene. Through the repeatability test, we find that defining the frame using using ellipse segments instead of lines where this is appropriate improves repeatability. We also apply the developed features to autonomous learning of object appearances, and show how the learned objects can be recognised under out-of-plane rotation and scale changes. © 2006 IEEE.

关键词： Object recognition

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Higher order FDTD schemes for waveguide and antenna structures

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Synthesis Lectures on computational Electromagnetics 2006年 3卷 1-226页

作者： Kantartzis, Nikolaos V. Tsiboukis, Theodoros D. Applied and Computational Electromagnetic Laboratory Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (纸本)1598290290

This publication provides a comprehensive and systematically organized coverage of higher order finite-difference time-domain or FDTD schemes, demonstrating their potential role as a powerful modeling tool in computational electromagnetics. Special emphasis is drawn on the analysis of contemporary waveguide and antenna structures. Acknowledged as a significant breakthrough in the evolution of the original Yee's algorithm, the higher order FDTD operators remain the subject of an ongoing scientific research. Among their indisputable merits, one can distinguish the enhanced levels of accuracy even for coarse grid resolutions, the fast convergence rates, and the adjustable stability. In fact, as the fabrication standards of modern systems get stricter, it is apparent that such properties become very appealing for the accomplishment of elaborate and credible designs. © Copyright 2006 by Morgan & Claypool.

关键词： Electromagnetism

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Autonomous Learning of Object Appearances using Colour Contour Frames

Autonomous Learning of Object Appearances using Colour Conto...

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Canadian Conference on computer and Robot Vision, CRV

作者： P. Forssen A. Moe Department of Computer Science Laboratory for Computational Intelligence BC Canada Computer Vision Laboratory Department of Electrical Engineering Linköping University Linkoping Sweden

关键词： Image segmentation computer vision Layout Testing Solid modeling Laboratories Robot vision systems Object recognition Robustness Histograms

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Low Power Arithmetic Units for Video Processing Systems

Low Power Arithmetic Units for Video Processing Systems

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International Conference on Communication Systems

作者： Hau T. Ngo Vijayan K. Asari Computational Intelligence and Machine Vision Laboratory Department of Electrical and Computer Engineering Old Dominion University Norfolk VA USA

Design of a low power multiply-and-accumulator (MAC) unit for video processing systems exploiting the similarity of neighboring pixels in video streams is presented in this paper. The proposed technique minimizes dynamic power consumption by analyzing the bit patterns in the input data to reduce switching activities. Special values of the pixels in the video streams such as zero, one, repeated values or repeated bit combinations are detected and control signals are generated to bypass the data and to reuse the results in the MAC unit. It is observed that the proposed scheme helps to reduce operations and switching activities in the MAC unit up to 30% which results in lower power consumption with minimal hardware overhead

关键词： Arithmetic Energy consumption Frequency Clocks Capacitance Streaming media Dynamic voltage scaling Adders Hardware Circuits

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Design of a High Performance Digital Architecture for Real-Time Correction of Radial Lens Distortion

Design of a High Performance Digital Architecture for Real-T...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Hau T. Ngo Vijayan K. Asari Computational Intelligence and Machine Vision Laboratory Department of Electrical and Computer Engineering Old Dominion University Norfolk VA USA

The radial lens distortion correction technique based on least squares estimation corrects a distorted image by expanding it nonlinearly so that straight lines in the object space remain straight in the image space. An absolute pipelined architecture is designed to correct radial lens distortion in images by partitioning the distortion correction algorithm into four main modules. The architecture includes a COKDIC based rectangular to polar coordinate transformation module, a back mapping module for nonlinear transformation of corrected image space to distorted image space, a COKDIC based polar to rectangular coordinate transformation module, and a linear interpolation module to calculate the intensities of four pixels simultaneously in the corrected image space. The system parameters include the expanded/corrected image size, distorted image size, the back mapping coefficients, distortion center and the center of the corrected image. The hardware architecture can sustain a high throughput rate of 30 4-MegaPixel (Mpixels) frames per second (total of 120 Mpixels). The pipelined architecture design will facilitate the use of dedicated hardware that can be mounted along with the camera unit.

关键词： Optical design Lenses Nonlinear distortion Hardware Least squares approximation Algorithm design and analysis Partitioning algorithms Simultaneous localization and mapping Interpolation Pixel

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Design of a Digital Architecture for Real-Time Video, Enhancement Based on Illuminance-Reflectance Model

Design of a Digital Architecture for Real-Time Video, Enhanc...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Hau T. Ngo Ming Z. Zhang Li Tao Vijayan K. Asari Computational Intelligence and Machine Vision Laboratory Department of Electrical and Computer Engineering Old Dominion University Norfolk VA USA

A design of a high performance digital architecture for a nonlinear image enhancement technique is presented in this paper. The image enhancement is based on illuminance-reflectance model which improves the visual quality of digital images and video captured under insufficient or non-uniform lighting conditions [1]. Systolic, pipelined and parallel design techniques are utilized effectively in the proposed FPGA-based architectural design to achieve real-time performance. Estimation and folding techniques are used in the hardware algorithmic design to achieve faster, simpler and more efficient architecture. The video enhancement system is implemented using Xilinx's multimedia development board that contains a VirtexII-X2000 FPGA and it is capable of processing approximately 66 Mega-pixels (Mpixels) per second.

关键词： Signal processing algorithms Image enhancement Field programmable gate arrays Digital signal processing computer architecture Image coding Streaming media Parallel processing Reflectivity Algorithm design and analysis

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