Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396)最新文献_第2页

Identity verification using audio-visual features 使用视听特征进行身份验证

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396) Pub Date : 2000-02-22 DOI: 10.1109/NRSC.2000.838939

Oilv Abdel Alim, Neamal Elboughdadly, Chaimaa ElMorchedi, Safwat, Gehan Abouelseoud, Nadia El badry, Nevin Mohsen

引用次数: 4

NNFRM: neuro-new fuzzy reasoning model interpreted as general case of fuzzy reasoning model NNFRM:将模糊推理模型解释为模糊推理模型的一般情况的神经新模糊推理模型

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396) Pub Date : 2000-02-22 DOI: 10.1109/NRSC.2000.838958

M. Tayel, Marwah Abd Elmonem

引用次数: 4

Solution of the non-uniformly spaced array problem using neural networks 用神经网络求解非均匀间隔阵列问题

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396) Pub Date : 2000-02-22 DOI: 10.1109/NRSC.2000.838917

H. Elkamchouchi, G.A. Saleh

引用次数: 2

A novel technique for improving the performance of Salisbury screen 一种改进索尔兹伯里屏性能的新技术

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396) Pub Date : 2000-02-22 DOI: 10.1109/NRSC.2000.838956

A. A. Abdelaziz

引用次数: 26

Integrating Fourier descriptors and PCA with neural networks for face recognition 将傅里叶描述子和PCA与神经网络相结合用于人脸识别

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396) Pub Date : 2000-02-22 DOI: 10.1109/NRSC.2000.838951

H. El-Bakry, M. Abo-Elsoud, M. Kamel

{"title":"Integrating Fourier descriptors and PCA with neural networks for face recognition","authors":"H. El-Bakry, M. Abo-Elsoud, M. Kamel","doi":"10.1109/NRSC.2000.838951","DOIUrl":"https://doi.org/10.1109/NRSC.2000.838951","url":null,"abstract":"A new approach to the face recognition problem is presented through combining Fourier descriptors with principal component analysis (PCA) and neural networks. Here the faces are vertically oriented frontal view with scaling, orientation, expression, and illumination changes. There are many research activities on face recognition using the face space which is described by a set of eigenfaces. Each face is efficiently represented by its projection onto the space expanded by the eigenfaces and has a new descriptor. Previous work on eigenface has shown that it performs well only with changes in expression, but results are poor in the case of rotating, or scaling the input face. In order to enhance the performance of the eigenfaces technique to accommodate other variations of the input face, the Fourier vector of each face is projected in the eigenspace. Neural networks are used to recognize the face through learning the correct classification of these new descriptors. A real-time system has been created which combines the face detection and recognition techniques. A recognition rate of 91% has been achieved over real tests. It is also shown that our proposed system behaves accurately in the case of rotated or scaled faces as well as for changes in expression.","PeriodicalId":211510,"journal":{"name":"Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125271604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Synthesis of self-timed FIFO circuit from signal transition graphs (STGs) 基于信号转换图的自定时FIFO电路的合成

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396) Pub Date : 2000-02-22 DOI: 10.1109/NRSC.2000.838934

H. T. Bahbouh, A. Salama

引用次数: 0

Heat generated by a circular ultrasound phased array for deep seated tumor treatments 由圆形超声相控阵产生的热用于深部肿瘤治疗

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396) Pub Date : 2000-02-22 DOI: 10.1109/NRSC.2000.838981

N. Ismail

引用次数: 3

Modular neural networks for face detection 用于人脸检测的模块化神经网络

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396) Pub Date : 2000-02-22 DOI: 10.1109/NRSC.2000.838925

H. El-Bakry, M. Abo-Elsoud, M.S. Kanel

{"title":"Modular neural networks for face detection","authors":"H. El-Bakry, M. Abo-Elsoud, M.S. Kanel","doi":"10.1109/NRSC.2000.838925","DOIUrl":"https://doi.org/10.1109/NRSC.2000.838925","url":null,"abstract":"A new concept for detection of human faces is presented. An efficient approach to reduce the computation time taken by neural networks for the searching process is introduced. We combine both Fourier and wavelet transforms with cooperative modular neural networks (MNNs) to enhance the performance of the detection process. Such an approach is applied to identify human faces automatically in cluttered scenes. Here, neural networks are used to test whether a window of 20/spl times/20 pixels contains a face or not. The major difficulty in the learning process comes from the large database required for face/nonface images. A simple design for cooperative MNNs is presented to solve this problem by dividing these data into some groups. Such division results in reduction of computational complexity and thus decreasing the time and memory needed during the test of an image. In order to have a faster detection algorithm, a combination of the FFT and the wavelet transform is made in order to reduce the elapsed time during the test phase and enhance the detection performance. Feature measurements of the input faces are made through Fourier descriptors which are insensitive to rotation, translation and scaling. Such a feature is modified to reduce the number of neurons in the hidden layer. The second stage extracts wavelet coefficients that have been shown to provide advantages in terms of better representation for a given data to be compressed. Finally, the resulting vector is fed to one of five neural networks for face detection. Compared to previous work in face detection, the use of this combination reduces the number of neurons required for neural networks. Simulation results for the proposed algorithm show good performance on detecting faces with rotation, occlusion, noise, or change in illumination.","PeriodicalId":211510,"journal":{"name":"Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132881995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Exact generalized polynomial array synthesis 精确广义多项式阵列合成

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396) Pub Date : 2000-02-22 DOI: 10.1109/NRSC.2000.838915

H. El-Kamchouchi, N. El-Araby

引用次数: 0

Shape signature for recognition process 用于识别过程的形状签名

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396) Pub Date : 2000-02-22 DOI: 10.1109/NRSC.2000.838946

I.H. Khalifa, M.S.H. Fahmi, A.-E. Hassanien, H.A.R.M. Elsalamony

引用次数: 2