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2009 17th European Signal Processing Conference最新文献

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Image interpolation using optimized color transforms 图像插值使用优化的颜色变换
2009 17th European Signal Processing Conference Pub Date : 2009-08-24 DOI: 10.5281/ZENODO.41427
E. Gershikov, M. Porat
{"title":"Image interpolation using optimized color transforms","authors":"E. Gershikov, M. Porat","doi":"10.5281/ZENODO.41427","DOIUrl":"https://doi.org/10.5281/ZENODO.41427","url":null,"abstract":"In many demosaicing algorithms the red and the blue colors are reconstructed based on the interpolated green. Although additional information such as the statistics of the color components could be easily obtained, these algorithms are not optimized according to the available data. In this work we propose optimized color transforms for the reconstruction of the red and blue colors, based on properties of the input image. When comparing the results of the optimized algorithms to existing known techniques, we show improvement in the reconstructed images both visually and according to the SCIELAB quality measure. Based on extensive simulation results, we show and conclude that the proposed optimization techniques could be useful and instrumental in digital photography.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114138850","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
Impostor detection using facial stereoscopic images 利用面部立体图像检测冒名顶替者
2009 17th European Signal Processing Conference Pub Date : 2009-08-24 DOI: 10.5281/ZENODO.41625
Abdelaali Benaiss, Usman Saeed, J. Dugelay, M. Jedra
{"title":"Impostor detection using facial stereoscopic images","authors":"Abdelaali Benaiss, Usman Saeed, J. Dugelay, M. Jedra","doi":"10.5281/ZENODO.41625","DOIUrl":"https://doi.org/10.5281/ZENODO.41625","url":null,"abstract":"Biometric systems are prone to impostor attacks, which in case of high security applications could be critical. These attacks range from simple attacks consisting of stealing someone's password or complex as cryptographic attacks on the transmission channel. In this study we have focused on combating replay attacks, in which an impostor uses a prerecorded image of the client. The system captures stereoscopic images of the face and then decides if the images belong to a real face or a poster from depth calculated using triangulation.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114570847","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
From BOLD-fMRI signals to the prediction of subjective pain perception through a regularization algorithm 从BOLD-fMRI信号到通过正则化算法预测主观疼痛感知
2009 17th European Signal Processing Conference Pub Date : 2009-08-24 DOI: 10.5281/ZENODO.41444
M. Prato, S. Favilla, P. Baraldi, C. Porro, L. Zanni
{"title":"From BOLD-fMRI signals to the prediction of subjective pain perception through a regularization algorithm","authors":"M. Prato, S. Favilla, P. Baraldi, C. Porro, L. Zanni","doi":"10.5281/ZENODO.41444","DOIUrl":"https://doi.org/10.5281/ZENODO.41444","url":null,"abstract":"Functional magnetic resonance imaging, in particular the BOLD-fMRI technique, plays a dominant role in human brain mapping studies, mostly because of its non-invasiveness and relatively high spatio-temporal resolution. The main goal of fMRI data analysis has been to reveal the distributed patterns of brain areas involved in specific functions, by applying a variety of statistical methods with model-based or data-driven approaches. In the last years, several studies have taken a different approach, where the direction of analysis is reversed in order to probe whether fMRI signals can be used to predict perceptual or cognitive states. In this study we test the feasibility of predicting the perceived pain intensity in healthy volunteers, based on fMRI signals collected during an experimental pain paradigm lasting several minutes. In particular, we introduce a methodological approach based on new regularization learning algorithms for regression problems.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116945674","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: 0
A new channel order estimation algorithm for FIR SIMO channels 一种新的FIR SIMO信道阶数估计算法
2009 17th European Signal Processing Conference Pub Date : 2009-08-24 DOI: 10.5281/ZENODO.41614
S. Karakütük, T. E. Tuncer
{"title":"A new channel order estimation algorithm for FIR SIMO channels","authors":"S. Karakütük, T. E. Tuncer","doi":"10.5281/ZENODO.41614","DOIUrl":"https://doi.org/10.5281/ZENODO.41614","url":null,"abstract":"Channel order estimation problem is considered for FIR (Finite Impulse Response) modeled single-input multi-output (SIMO) communication systems. The performance of the channel estimation algorithms depends on the accuracy and robustness of the channel order estimation. A new channel order estimation algorithm with high accuracy and robustness is proposed for SIMO systems. The proposed algorithm is based on the least squares smoothing (LSS) algorithm for channel estimation. It is guaranteed to find the true channel order from finite number of samples for noise free case. Several experiments are performed and it is shown that the proposed algorithm significantly enhances the performance in channel order estimation in noisy observations. The comparisons with the alternative techniques show that the proposed method is very effective for the channel order estimation.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114802937","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
Investigation of parameter effects and truncated multistatic data matrix in decomposition of time reversal operator method 时间反转算子分解中参数效应及截短多静态数据矩阵的研究
2009 17th European Signal Processing Conference Pub Date : 2009-08-24 DOI: 10.5281/ZENODO.41359
Dinh-Quy Nguyen, XueXin Yap, W. Gan, Y. Chong
{"title":"Investigation of parameter effects and truncated multistatic data matrix in decomposition of time reversal operator method","authors":"Dinh-Quy Nguyen, XueXin Yap, W. Gan, Y. Chong","doi":"10.5281/ZENODO.41359","DOIUrl":"https://doi.org/10.5281/ZENODO.41359","url":null,"abstract":"Acoustic waves are commonly used in the detection, localization and focusing fields. DORT, a French acronym for decomposition of time reversal operator, is a novel method in which active detection and focusing of acoustic waves using arrays of transceivers is performed. The DORT method extracts relevant information from collected data and forms a multistatic data matrix (MDM) that enables the detection and focusing of signals on scattering objects. In this paper, the parameters of the DORT method are studied and their effects on the focusing performance are investigated. In addition, a truncated MDM method, which achieves both time and storage saving over the full MDM method, is proposed.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115645912","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
Multivariable statistical classification of 3D bone microarchitecture using morphological and mechanical features 基于形态学和力学特征的三维骨微结构多变量统计分类
2009 17th European Signal Processing Conference Pub Date : 2009-08-24 DOI: 10.5281/ZENODO.41542
R. Jennane, G. Aufort, H. Lheritier, C. Benhamou
{"title":"Multivariable statistical classification of 3D bone microarchitecture using morphological and mechanical features","authors":"R. Jennane, G. Aufort, H. Lheritier, C. Benhamou","doi":"10.5281/ZENODO.41542","DOIUrl":"https://doi.org/10.5281/ZENODO.41542","url":null,"abstract":"Evaluating trabecular bone microarchitecture is not possible in the clinical routine nowadays. Based on simplified skeleton and Finite Element models, we have developed different image processing and simulation techniques to investigate bone microarchitecture and its mechanical stiffness. This work defines improved models for 3D bone architecture that generates multiple features. These parameters can be combined in a statistical discriminant analysis in order to study bone diseases such as osteoporosis. A clinical study is led on 2 populations of arthritic and osteoporotic bone samples. The results show the ability of our improved techniques to discriminate the 2 populations.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116898102","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: 2
Making better biometric decisions with quality and cohort information: A case study in fingerprint verification 利用质量和群体信息做出更好的生物识别决策:指纹验证的案例研究
2009 17th European Signal Processing Conference Pub Date : 2009-08-24 DOI: 10.5281/ZENODO.41648
N. Poh, A. Merati, J. Kittler
{"title":"Making better biometric decisions with quality and cohort information: A case study in fingerprint verification","authors":"N. Poh, A. Merati, J. Kittler","doi":"10.5281/ZENODO.41648","DOIUrl":"https://doi.org/10.5281/ZENODO.41648","url":null,"abstract":"Automatically recognizing humans using their biometric traits such as face and fingerprint will have very important implications in our daily lives. This problem is challenging because biometric traits can be affected by the acquisition process which is sensitive to the environmental conditions (e.g., lighting) and the user interaction. It has been shown that post-processing the classifier output, so called score normalization, is an important mechanism to counteract the above problem. In the literature, two dominant research directions have been explored: cohort normalization and quality-based normalization. The first approach relies on a set of competing cohort models, essentially making use of the resultant cohort scores. A well-established example is the T-norm. In the second approach, the normalization is based on deriving the quality information from the raw biometric signal. We propose to combine both the cohort score- and signal-derived information via logistic regression. Based on 12 independent fingerprint experiments, our proposal is found to be significantly better than the T-norm and two recently proposed cohort-based normalization methods.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114705704","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: 20
Alternative approach for computing the activation factor of the PNLMS algorithm 计算PNLMS算法激活因子的替代方法
2009 17th European Signal Processing Conference Pub Date : 2009-08-24 DOI: 10.5281/ZENODO.41586
Francisco das Chagas de Souza, O. J. Tobias, R. Seara, D. Morgan
{"title":"Alternative approach for computing the activation factor of the PNLMS algorithm","authors":"Francisco das Chagas de Souza, O. J. Tobias, R. Seara, D. Morgan","doi":"10.5281/ZENODO.41586","DOIUrl":"https://doi.org/10.5281/ZENODO.41586","url":null,"abstract":"This paper presents a proportionate normalized least-mean-square (PNLMS) algorithm using an individual activation factor for each adaptive filter coefficient. Such strategy is used instead of a global activation factor as in the standard PNLMS algorithm. The proposed individual activation factors, determined in terms of the corresponding adaptive filter coefficients, lead to a better distribution of the adaptation energy over the filter coefficients than the standard PNLMS does. Thereby, for impulse responses exhibiting high sparseness, the proposed algorithm achieves faster convergence, outperforming both the PNLMS and improved PNLMS (IPNLMS) algorithms.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115456971","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: 20
A construction of compact MFCC-type features using short-time statistics for applications in audio segmentation 基于短时统计的紧凑mfcc型特征的构建，用于音频分割
2009 17th European Signal Processing Conference Pub Date : 2009-08-24 DOI: 10.5281/ZENODO.41364
Dirk von Zeddelmann, F. Kurth
{"title":"A construction of compact MFCC-type features using short-time statistics for applications in audio segmentation","authors":"Dirk von Zeddelmann, F. Kurth","doi":"10.5281/ZENODO.41364","DOIUrl":"https://doi.org/10.5281/ZENODO.41364","url":null,"abstract":"In this paper, we propose a new class of audio feature that is derived from the well-known mel frequency cepstral coefficients (MFCCs) which are widely used in speech processing. More precisely, we calculate suitable short-time statistics during the MFCC computation to obtain smoothed features with a temporal resolution that may be adjusted depending on the application. The approach was motivated by the task of audio segmentation where the classical MFCCs, having a fine temporal resolution, may result in a high amount of fluctuations and, consequently, an unstable segmentation. As a main contribution, our proposed MFCC-ENS (MFCC-Energy Normalized Statistics) features may be adapted to have a lower, and more suitable, temporal resolution while summarizing the essential information contained in the MFCCs. Our experiments on the segmentation of radio programmes demonstrate the benefits of the newly proposed features.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114849290","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
New accept/reject methods for independent sampling from posterior probability distributions 从后验概率分布中独立抽样的新接受/拒绝方法
2009 17th European Signal Processing Conference Pub Date : 2009-08-24 DOI: 10.5281/ZENODO.41808
Luca Martino, J. Míguez
{"title":"New accept/reject methods for independent sampling from posterior probability distributions","authors":"Luca Martino, J. Míguez","doi":"10.5281/ZENODO.41808","DOIUrl":"https://doi.org/10.5281/ZENODO.41808","url":null,"abstract":"Rejection sampling (RS) is a well-known method to generate (pseudo-)random samples from arbitrary probability distributions that enjoys important applications, either by itself or as a tool in more sophisticated Monte Carlo techniques. Unfortunately, the use of RS techniques demands the calculation of tight upper bounds for the ratio of the target probability density function (pdf) over the proposal density from which candidate samples are drawn. Except for the class of log-concave target pdf's, for which an efficient algorithm exists, there are no general methods to analytically determine this bound, which has to be derived from scratch for each specific case. In this paper, we tackle the general problem of applying RS to draw from an arbitrary posterior pdf using the prior density as a proposal function. This is a scenario that appears frequently in Bayesian signal processing methods. We derive a general geometric procedure for the calculation of upper bounds that can be used with a broad class of target pdf's, including scenarios with correlated observations, multimodal and/or mixture measurement noises. We provide some simple numerical examples to illustrate the application of the proposed techniques.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"271 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121358155","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: 0
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