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2013 International Conference on Wavelet Analysis and Pattern Recognition最新文献

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A novel multi-pose face recognition via robust SIFT feature 一种基于鲁棒SIFT特征的多姿态人脸识别方法
2013 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2013-07-14 DOI: 10.1109/ICWAPR.2013.6599288
Xinao-Bing Xian, Huajuan Wu, Mingxi Zhang, Jin-Long Zhang, Xv-Sheng Zhan
{"title":"A novel multi-pose face recognition via robust SIFT feature","authors":"Xinao-Bing Xian, Huajuan Wu, Mingxi Zhang, Jin-Long Zhang, Xv-Sheng Zhan","doi":"10.1109/ICWAPR.2013.6599288","DOIUrl":"https://doi.org/10.1109/ICWAPR.2013.6599288","url":null,"abstract":"The performance of face recognition algorithm significantly degrades when the pose of probe face is different from gallery face, especially when the angular difference between them is larger than 45°. One of the possible solutions is that not only using frontal face but combining frontal and profile face images as gallery images. According to this idea, this paper proposes a simple, efficient robust SIFT feature method, which generates the face feature database (FFD) with multi-pose face images. The feature vectors are extracted from multiple poses of each person's face by using SIFT algorithm. Then, by computing the dot product of each feature vector with all others, the robust features which constitute the FFD could be identified. Meanwhile, in the proposed scheme, the importance of features is considered by assigning different weights, which improves accuracy. Experimental results on the PEI and the CMU PIE database demonstrate the effectiveness of the proposed method.","PeriodicalId":236156,"journal":{"name":"2013 International Conference on Wavelet Analysis and Pattern Recognition","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126706674","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: 4
A wavelet theory about online wavelets denoising based on Moving Window and Principal Component Analysis (PCA) 基于移动窗和主成分分析的在线小波去噪理论
2013 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2013-07-14 DOI: 10.1109/ICWAPR.2013.6599292
Jin Qibing, Sajid Khursheed
{"title":"A wavelet theory about online wavelets denoising based on Moving Window and Principal Component Analysis (PCA)","authors":"Jin Qibing, Sajid Khursheed","doi":"10.1109/ICWAPR.2013.6599292","DOIUrl":"https://doi.org/10.1109/ICWAPR.2013.6599292","url":null,"abstract":"In this paper, we have described a general wavelet theory about online wavelet denoising based on Moving Window and Principal Component Analysis (PCA). Using the online lifting scheme of signals and wavelet thresholding in a moving window of dyadic length, we can remove unpleasant or noise errors in the data. Insufficiency of traditional Wavelet denoising in real-time signal processing is discussed. Requirements of online denoising are studied, and a moving window is introduced into traditional Wavelet transform. Genuine images are frequently corrupted by noise from various sources. It has been confirmed to have a better edge-preserving quality than linear filters in certain applications. By using the moving window, an online Wavelet denoising method is recommended. Many different developments are described by the signal extensively used in denoising domain. The simulation results show the success of these improvements for fault diagnosis.","PeriodicalId":236156,"journal":{"name":"2013 International Conference on Wavelet Analysis and Pattern Recognition","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123453089","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: 4
An affine invariant weighted approach for estimating parameters under affine distortions 仿射畸变下参数估计的一种仿射不变加权方法
2013 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2013-07-14 DOI: 10.1109/ICWAPR.2013.6599294
Xiao Bai, Yong-dong Huang, Jianwei Yang
{"title":"An affine invariant weighted approach for estimating parameters under affine distortions","authors":"Xiao Bai, Yong-dong Huang, Jianwei Yang","doi":"10.1109/ICWAPR.2013.6599294","DOIUrl":"https://doi.org/10.1109/ICWAPR.2013.6599294","url":null,"abstract":"In this paper, an affine invariant weighted method is proposed to estimate affine transformation parameters. Affine covariant images are constructed from the original image by assigning an affine invariant weight to each point in the image. Based on the first order moment of these affine covariant images, a system of linear equations is constructed to estimate the affine transformation parameters. The affine covariant images are derived in polar coordinate system, and weights of points on the same radial direction can be calculated together. In compare with the cross-weighted moment method, the proposed method yields a smaller computation burden. Experimental results also show that the proposed method can be used for the recovery of affine transformation parameters by a proper selection of parameters.","PeriodicalId":236156,"journal":{"name":"2013 International Conference on Wavelet Analysis and Pattern Recognition","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121512025","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: 3
Improved active shape model for facial feature localization using poem descriptor 基于诗歌描述符的面部特征定位改进主动形状模型
2013 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2013-07-14 DOI: 10.1109/ICWAPR.2013.6599314
Lifang Zhou, Bin Fang, Weisheng Li, Peng Lai
{"title":"Improved active shape model for facial feature localization using poem descriptor","authors":"Lifang Zhou, Bin Fang, Weisheng Li, Peng Lai","doi":"10.1109/ICWAPR.2013.6599314","DOIUrl":"https://doi.org/10.1109/ICWAPR.2013.6599314","url":null,"abstract":"Aiming at the problem in facial feature location, the Active Shape Models algorithm suffers from variations of poses, illumination and expressions. In this paper, we first introduce the patterns of oriented edge magnitudes descriptor to represent the local appearances of landmarks. It can provide more robust and accurate guidance for search than grey-level profiles. Moreover, the vector of shape parameters is improved by defining the rotation factor. Experimental results show that the proposed method significantly outperforms the original ASM and ASM+LBP method under attitude and illumination variation.","PeriodicalId":236156,"journal":{"name":"2013 International Conference on Wavelet Analysis and Pattern Recognition","volume":"514 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131593622","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
Image edge detection algorithm based on improved Canny operator 基于改进Canny算子的图像边缘检测算法
2013 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2013-07-14 DOI: 10.1109/ICWAPR.2013.6599311
Caixia Deng, Guibin Wang, Xinrui Yang
{"title":"Image edge detection algorithm based on improved Canny operator","authors":"Caixia Deng, Guibin Wang, Xinrui Yang","doi":"10.1109/ICWAPR.2013.6599311","DOIUrl":"https://doi.org/10.1109/ICWAPR.2013.6599311","url":null,"abstract":"The traditional Canny operator does not have the adaptive ability in the selection of the variance of the Gaussian filtering. Filtering requires human intervention, and the selection of the variance of Gaussian filtering affects the edge preserving and denoising effect. An improved edge detection algorithm is proposed in this paper. The Gaussian filtering is replaced with the morphological filtering. Experimental results show that the improved Canny operator can filter the salt & pepper noise effectively, improve the accuracy of edge detection, and achieve an ideal effect of edge detection. The experiment results show that the objective evaluation and visual effect are good.","PeriodicalId":236156,"journal":{"name":"2013 International Conference on Wavelet Analysis and Pattern Recognition","volume":"86 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126278615","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: 73
Correlation theorems for type II quaternion Fourier transform II型四元数傅里叶变换的相关定理
2013 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2013-07-14 DOI: 10.1109/ICWAPR.2013.6599305
M. Bahri, R. Ashino
{"title":"Correlation theorems for type II quaternion Fourier transform","authors":"M. Bahri, R. Ashino","doi":"10.1109/ICWAPR.2013.6599305","DOIUrl":"https://doi.org/10.1109/ICWAPR.2013.6599305","url":null,"abstract":"We present the correlation within the framework of the quaternion algebra. We establish the correlation theorem for type II quaternion Fourier transform (QFT) and obtain some important properties of the relationship between the quaternion correlation and the type II QFT.","PeriodicalId":236156,"journal":{"name":"2013 International Conference on Wavelet Analysis and Pattern Recognition","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121463398","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: 4
Muscle activity prediction using wavelet neural network 基于小波神经网络的肌肉活动预测
2013 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2013-07-14 DOI: 10.1109/ICWAPR.2013.6599324
Marzieh Mosafavizadeh, Ling Wang, Q. Lian, Yaxiong Liu, Jiankang He, Dichen Li, Zhongmin Jin
{"title":"Muscle activity prediction using wavelet neural network","authors":"Marzieh Mosafavizadeh, Ling Wang, Q. Lian, Yaxiong Liu, Jiankang He, Dichen Li, Zhongmin Jin","doi":"10.1109/ICWAPR.2013.6599324","DOIUrl":"https://doi.org/10.1109/ICWAPR.2013.6599324","url":null,"abstract":"The purpose of this study was to develop a multi dimensional wavelet neural network (WNN) approach in order to predict human lower extremity muscle activities based on ground reaction forces (GRF) and joint angles. For this purpose, four healthy subjects were taken from a previous study. The proposed approach consisted of two main parts: 1) input variable selection (IVS) and 2) network training. First, mutual information (MI) method was used to determine nine inputs including three dimensional GRFs and six joint angles as WNN inputs to predict seven number of outputs. The network was trained based on batch descent gradient algorithm using inter subject data space which provided by leave-one-out (LOO) technique. The WNN predictions for the left-out subject were compared with inverse dynamics calculations based on root mean square error (RMSE) and its percentage as well as Pearson correlation analysis (p). Results showed that multi dimensional WNN was capable to model the highly nonlinear relationship between GRF and joint angles as inputs and muscle activities as outputs.","PeriodicalId":236156,"journal":{"name":"2013 International Conference on Wavelet Analysis and Pattern Recognition","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133302304","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: 5
Musical applications using perfect-translation-invariant variable-density complex discrete wavelet transform 音乐应用中使用完美平移不变变密度复离散小波变换
2013 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2013-07-14 DOI: 10.1109/ICWAPR.2013.6599325
H. Toda, Zhong Zhang, T. Imamura
{"title":"Musical applications using perfect-translation-invariant variable-density complex discrete wavelet transform","authors":"H. Toda, Zhong Zhang, T. Imamura","doi":"10.1109/ICWAPR.2013.6599325","DOIUrl":"https://doi.org/10.1109/ICWAPR.2013.6599325","url":null,"abstract":"In this paper, firstly, we introduce our proposed complex discrete wavelet transform achieving variable wavelet density in the frequency and time domains with perfect translation invariance. Next, using it, we introduce three musical applications “High-precision frequency detection”, “Time stretch” and “Pitch shift”. The time stretch is the process of changing the speed of an audio signal without affecting its pitch, and the pitch shift is the process of changing the pitch without affecting the speed.","PeriodicalId":236156,"journal":{"name":"2013 International Conference on Wavelet Analysis and Pattern Recognition","volume":"369 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132949903","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
A fusion edge detection method based on wavelet transform and differential 一种基于小波变换和差分的融合边缘检测方法
2013 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2013-07-14 DOI: 10.1109/ICWAPR.2013.6599285
Zuoxian Fu, Caixia Deng, Yuanyan Tang
{"title":"A fusion edge detection method based on wavelet transform and differential","authors":"Zuoxian Fu, Caixia Deng, Yuanyan Tang","doi":"10.1109/ICWAPR.2013.6599285","DOIUrl":"https://doi.org/10.1109/ICWAPR.2013.6599285","url":null,"abstract":"Comparing the two improved methods, which are improved Sobel operator and improved wavelet transform using the multi-scale morphological filtering, subjective visual have achieved better results. However there are advantages and disadvantages in objective evaluations. So this paper makes the gained edges image fusion with the two improved methods using the wavelet transform fusion technology. The experimental results show that the fused image has increased significantly in information entropy and the average gradient compared to the improved Sobel operator, and it also has improved the peak signal to noise ratio and the distortion degree compared to the improved wavelet edge detection method. The fused image can concentrate the advantages of the two improved methods together and make complementary advantages. Eventually, the good de-noising effect and complete edge are achieved.","PeriodicalId":236156,"journal":{"name":"2013 International Conference on Wavelet Analysis and Pattern Recognition","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125572300","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: 5
Ear recognition based on Gabor scale information 基于Gabor尺度信息的人耳识别
2013 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2013-07-14 DOI: 10.1109/ICWAPR.2013.6599308
Baoqing Zhang, Zhichun Mu, Hui Zeng, Hong-bo Huang
{"title":"Ear recognition based on Gabor scale information","authors":"Baoqing Zhang, Zhichun Mu, Hui Zeng, Hong-bo Huang","doi":"10.1109/ICWAPR.2013.6599308","DOIUrl":"https://doi.org/10.1109/ICWAPR.2013.6599308","url":null,"abstract":"As a promising biometrics, ear recognition is attracting increasing research interests among researchers in recent years. It has a wide range of civilian and law-enforcement applications. In this paper, a new feature extraction approach is investigated for ear recognition by using scale information of multi-scale Gabor filters. Compared with augmented Gabor features defined via concatenation of the Gabor filtering coefficients, the proposed Gabor scale feature will not only avoid too much redundancy but also tend to extract more precise structural information. So, the proposed feature is more robust to ear image variations. Rigorous experimental results on the ear image dataset of UND and USTB database III show the effectiveness of the proposed Gabor scale feature for ear recognition.","PeriodicalId":236156,"journal":{"name":"2013 International Conference on Wavelet Analysis and Pattern Recognition","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129659169","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: 3
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