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2016 6th European Workshop on Visual Information Processing (EUVIP)最新文献

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An improved 3-step contactless fingerprint image enhancement approach for minutiae detection 一种改进的3步非接触式指纹图像增强方法用于细节检测
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764594
Xinwei Liu, Marius Pedersen, C. Charrier, F. A. Cheikh, Patrick A. H. Bours
{"title":"An improved 3-step contactless fingerprint image enhancement approach for minutiae detection","authors":"Xinwei Liu, Marius Pedersen, C. Charrier, F. A. Cheikh, Patrick A. H. Bours","doi":"10.1109/EUVIP.2016.7764594","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764594","url":null,"abstract":"Fingerprint enhancement is a critical step in fingerprint recognition systems. There are many existing contact-based fingerprint image enhancement methods and they have their own strengths and weaknesses. However, image enhancement approaches that can be used for contactless fingerprints are rarely considered and the number of such approaches is limited. Furthermore, the performance of existing contact-based fingerprint enhancement methods on the contactless fingerprint samples are unsatisfactory. Therefore, in this paper we propose an improved 3-step fingerprint image quality enhancement approach, which can be used for enhancing contactless fingerprint samples. The evaluation results show that, the proposed enhancement method significantly increases the number of detected minutiae, and improves the performance of fingerprint recognition system by reducing 7% and 15% EER compared to existing methods, respectively.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134644226","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: 13
Multispectral image denoising in wavelet domain with unsupervised tensor subspace-based method 基于无监督张量子空间的小波域多光谱图像去噪方法
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764599
A. Zidi, K. Spinnler, J. Marot, S. Bourennane
{"title":"Multispectral image denoising in wavelet domain with unsupervised tensor subspace-based method","authors":"A. Zidi, K. Spinnler, J. Marot, S. Bourennane","doi":"10.1109/EUVIP.2016.7764599","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764599","url":null,"abstract":"Multiway Wiener filtering has been inserted in a wavelet framework to enhance spatial details while denoising multidimensional images. An elevated number of rank values is required. A solution is to retrieve the best rank values while minimizing a mean square criterion. In this paper, we justify the adaptation for this purpose of a stochastic optimization method, and we evaluate comparatively a genetic algorithm and particle swarm optimization. Results obtained on multispectral images in terms of signal to noise ratio and perceptual image quality permit to emphasize the performance of the obtained unsupervised method for realistic noise magnitudes.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133388275","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
Reverse facial ageing model for youthful appearance restoration from adult face images 从成人面部图像中恢复年轻外观的反向面部衰老模型
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764603
E. Farazdaghi, Farnaz Majid Zadeh Heravi, Laurent Chatelain, A. Naït-Ali
{"title":"Reverse facial ageing model for youthful appearance restoration from adult face images","authors":"E. Farazdaghi, Farnaz Majid Zadeh Heravi, Laurent Chatelain, A. Naït-Ali","doi":"10.1109/EUVIP.2016.7764603","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764603","url":null,"abstract":"Dealing with a reliable face-ageing model has been an interesting topic with many envisioned applications such as those are related to investigation and forensics. Contrary to most previous works which deal with predictive face models, in this work, we propose a model that can estimate one's appearance in his youth down to it being in the age of 3-4 years. In this proposed approach, the youth face is estimated by mapping a reference face texture to an estimated geometrical model. This is demonstrated on a created database of 34 adult face images. We have then used two subjective and objective criteria to evaluate the results. The most promising results have been achieved which will be presented afterwards.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130406603","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
Local descriptors and tensor local preserving projection in face recognition 局部描述子和张量局部保持投影在人脸识别中的应用
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764608
M. Belahcene, M. Laid, A. Chouchane, A. Ouamane, S. Bourennane
{"title":"Local descriptors and tensor local preserving projection in face recognition","authors":"M. Belahcene, M. Laid, A. Chouchane, A. Ouamane, S. Bourennane","doi":"10.1109/EUVIP.2016.7764608","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764608","url":null,"abstract":"In this paper, a new multi-dimensional facial recognition system is proposed. A new technique for data reduction for multidimensional biometric facial analysis to improve face recognition performance in real environments is implemented. For this the tensorial methods are adopted, the sample of the face must be reshaped by natural tensor representations into vectors of very large dimensions. This remodeling breaks the natural structure of the correlations existing in the original tensor data, involving high costs and the need to evaluate a large number of parameters. Firstly, we give an overview and generalities on facial recognition systems, and then we present some techniques to n Dimensional Face Recognition System (nDFRS). The Tensor Local Preserving Projection (TLPP) is proposed as a new method of reducing and implemented to obtain our Nearest Neighbor classification. TLPP is used to reduce features vectors obtained by local descriptors LBP, LPQ and BSI. Many experiments on ORL, YALE and FERET Databases show that our methods are not only more effective but also more robust.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122727069","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: 8
Artifacts removal in NEVI medical images based on moving frame domain texture analysis 基于动帧域纹理分析的NEVI医学图像伪影去除
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764609
S. Colonnese, M. Biagi, R. Cusani, G. Scarano
{"title":"Artifacts removal in NEVI medical images based on moving frame domain texture analysis","authors":"S. Colonnese, M. Biagi, R. Cusani, G. Scarano","doi":"10.1109/EUVIP.2016.7764609","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764609","url":null,"abstract":"This paper presents a procedure for user-assisted artifact removal from medical images, namely photographic images of nevi and melanomas. Specifically, we propose an artifact removal procedure based on image representation in the moving frame domain. This domain has been recently introduced in the literature for denoising purposes. We show that in this domain the artifacts are well distinguished from the image signal and can be removed; besides, interpolation of the removed points is highly effective since it preserves relevant image feature useful for diagnostic purposes.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127264797","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
Near real-time local stereo matching algorithm based on fast guided image filtering 基于快速引导图像滤波的近实时局部立体匹配算法
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764595
Gwang-Soo Hong, Jong-Kweon Park, Byung-Gyu Kim
{"title":"Near real-time local stereo matching algorithm based on fast guided image filtering","authors":"Gwang-Soo Hong, Jong-Kweon Park, Byung-Gyu Kim","doi":"10.1109/EUVIP.2016.7764595","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764595","url":null,"abstract":"Accuracy and computational complexity are challenges of stereo matching algorithm. Much research has been devoted to stereo matching based on cost volume filtering of matching costs. Local stereo matching based guided image filtering (GIF) has a computational complexity of O(N). A proposed algorithm focuses on reduction of computational complexity using the concept of fast guided image filter, which increase the speed up to O(N=s2) with a sub-sampling ratio s. Experimental results using the Middlebury benchmark indicated the proposed algorithm achieved effective local stereo matching with a fast execution time.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125810118","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: 6
Cloud-assisted individual l1-pca face recognition using wavelet-domain compressed images 基于小波域压缩图像的云辅助个体11 -pca人脸识别
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764600
Federica Maritato, Y. Liu, S. Colonnese, D. Pados
{"title":"Cloud-assisted individual l1-pca face recognition using wavelet-domain compressed images","authors":"Federica Maritato, Y. Liu, S. Colonnese, D. Pados","doi":"10.1109/EUVIP.2016.7764600","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764600","url":null,"abstract":"Face recognition has been an active research field for a long time, and recently new challenges have arisen in designing cloud-assisted face recognition algorithms. In a cloud assisted face recognition system, mobile devices acquire the data images; then, in order to unbind the cloud face recognition algorithm from the particular features extracted at the mobile device, the images are encoded and uploladed into the cloud. In this framework, it is important to understand and control the effect of the image compression stage performed at the mobile device on the performances of the face recognition algorithms realized within the cloud. Here, we analyze the impact of wavelet domain image compression on the Individual Adaptive (IA) L1-PCA subspace computation and assess the performance of a classifier operating on data characterized by increasing compactness and accordingly decreasing accuracy.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127288475","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: 7
A comprehensive performance evaluation of objective quality metrics for contrast enhancement techniques 对比增强技术客观质量指标的综合性能评价
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764589
M. A. Qureshi, Azeddine Beghdadi, Bilel Sdiri, Mohamed Deriche, F. A. Cheikh
{"title":"A comprehensive performance evaluation of objective quality metrics for contrast enhancement techniques","authors":"M. A. Qureshi, Azeddine Beghdadi, Bilel Sdiri, Mohamed Deriche, F. A. Cheikh","doi":"10.1109/EUVIP.2016.7764589","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764589","url":null,"abstract":"In this paper, we present a comprehensive analysis and comparison of state-of-the-art Contrast Enhancement (CE) evaluation metrics. In this work, we developed a new database consisting of 182 images. The subjective experiments were performed to obtain a preference rating from different observers for the enhanced images using six CE methods selected from different representative categories. The quality of the enhanced images is measured with most commonly used CE evaluation metrics. We provide the ranking of images based on perceptual preference as well as objective quality metrics scores. We show that some of the metrics used for the enhancement evaluation are not consistent with the human subjective scores. This new database, named as Contrast Enhancement Evaluation Database (CEED2016), is made publicly available to the research community at http://wwwl2ti.univ-paris13.fr/site/index.php/en/CEED2016/ and is expected to be a contribution to the area of Image Quality Assessment (IQA) and particularly for image quality enhancement evaluation.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128034302","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: 10
Multispectral palmprint recognition based on local binary pattern histogram fourier features and gabor filter 基于局部二值模式直方图傅立叶特征和gabor滤波器的多光谱掌纹识别
2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI: 10.1109/EUVIP.2016.7764610
Wafa El-Tarhouni, L. Boubchir, Noor Al-Máadeed, Mosa Elbendak, A. Bouridane
{"title":"Multispectral palmprint recognition based on local binary pattern histogram fourier features and gabor filter","authors":"Wafa El-Tarhouni, L. Boubchir, Noor Al-Máadeed, Mosa Elbendak, A. Bouridane","doi":"10.1109/EUVIP.2016.7764610","DOIUrl":"https://doi.org/10.1109/EUVIP.2016.7764610","url":null,"abstract":"Fusing multiple features within one biometric modality has attracted increasing attention and interest among researchers during recent decades because the concept is useful in addressing a wide range of real world problems. In this paper, we propose a novel fusion approach that combines two feature extraction algorithms: Local Binary Pattern Histogram Fourier Features (LBP-HF) and Gabor filter technique for use as one feature extraction. The fused features are applied to improve the performance of palmprint recognition. However, the main problem associated with this approach is the extremely large number of features, which can result in an overfitting problem for classification. To overcome this difficulty, spectral regression kernel discriminant analysis (SR-KDA) is applied as a dimensionality reduction technique. When designing the proposed recognition system, the k-nearest neighbour (KNN) classifier is used for the final decision. The performance of the proposed approach was evaluated using the challenging multispectral palmprint PolyU database. From the experimental results, it can be suggested that the system presented consistently yields significant performance gains compared to the state-of-the art methods.","PeriodicalId":136980,"journal":{"name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122263094","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
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