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2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)最新文献

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Facial Expression Recognition Using Decision Trees 基于决策树的面部表情识别
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.33
Fatima Zahra Salmam, Abdellah Madani, M. Kissi
{"title":"Facial Expression Recognition Using Decision Trees","authors":"Fatima Zahra Salmam, Abdellah Madani, M. Kissi","doi":"10.1109/CGIV.2016.33","DOIUrl":"https://doi.org/10.1109/CGIV.2016.33","url":null,"abstract":"Emotion recognition from facial expressions is generally performed in three steps: face detection, features extraction and classification of expressions. The present work focuses on two points: Firstly, a new extraction method is presented based on the geometric approach. This method consists of calculating six distances in order to measure parts of the face that better describe a facial expression. Secondly, an automatic supervised learning method called decision tree is applied on two databases (JAFEE and COHEN), in order to have a facial expressions classifying system with seven possible classes (six basic emotions plus neutral), this system uses as input the six distances previously calculated (using Euclidian, Manhattan or Minkowski distance) for each face. Our results achieved a recognition rate of 89.20% and 90.61% respectively in JAFFE and COHEN database.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123804768","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: 51
Diagnosis of Alzheimer Diseases in Early Step Using SVM (Support Vector Machine) 支持向量机在老年痴呆症早期诊断中的应用
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.76
Amira Ben Rabeh, F. Benzarti, H. Amiri
{"title":"Diagnosis of Alzheimer Diseases in Early Step Using SVM (Support Vector Machine)","authors":"Amira Ben Rabeh, F. Benzarti, H. Amiri","doi":"10.1109/CGIV.2016.76","DOIUrl":"https://doi.org/10.1109/CGIV.2016.76","url":null,"abstract":"Alzheimer is a disease that affects the brain. It causes degeneration of nerve cells (neurons) and in particular cells involved in memory and intellectual functions. Early diagnosis of Alzheimer Diseases (AD) raises ethical questions, since there is, at present, no cure to offer to patients and medicines from therapeutic trials appear to slow the progression of the disease as moderate, accompanying side effects sometimes severe. In this context, analysis of medical images became, for clinical applications, an essential tool because it provides effective assistance both at diagnosis therapeutic follow-up. Computer Assisted Diagnostic systems (CAD) is one of the possible solutions to efficiently manage these images. In our work, we proposed an application to detect Alzheimer's diseases. For detecting the disease in early stage we used the three sections: frontal to extract the Hippocampus (H), Sagittal to analysis the Corpus Callosum (CC) and axial to work with the variation features of the Cortex(C). Our method of classification is based on Support Vector Machine (SVM). The proposed system yields a 90.66% accuracy in the early diagnosis of the AD.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128606620","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: 34
Face Recognition Using a Fuzzy Approach and a Multi-agent System from Video Sequences 基于模糊方法和多智能体系统的视频序列人脸识别
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.91
H. Hatimi, M. Fakir, M. Chabi
{"title":"Face Recognition Using a Fuzzy Approach and a Multi-agent System from Video Sequences","authors":"H. Hatimi, M. Fakir, M. Chabi","doi":"10.1109/CGIV.2016.91","DOIUrl":"https://doi.org/10.1109/CGIV.2016.91","url":null,"abstract":"Face recognition systems in a video sequence constitute an essential technical tool in several domains. To classify the faces in minimal time, the classic methods of classification being inadequate, fuzzy logic is considered as an effective technique for solving a classification problem. This article proposes a fuzzy approach for detection and face recognition in video sequences using a multi-agent modeling. This method contains several steps to classify the faces detected in the video. The multi-agent approach that is adopted allows minimizing the complexity of the processing and getting to the result with minimal time. The tasks of detection and classification of face are realized in two steps. In the first step, faces are detected using texture color and geometrical face. In the second step, the multi-agent system and fuzzy approach are used in the recognition process to find the degrees of membership. The results obtained using this method demonstrates performance in terms of robustness, in the variations illumination and speed.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128421961","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
An Effective Soft Multiple-Assignments Strategies for Enhancing the Accuracy of the Content-Based Image Retrieval Systems 提高基于内容的图像检索系统精度的一种有效的软多重赋值策略
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.47
Zied Elleuch, K. Marzouki
{"title":"An Effective Soft Multiple-Assignments Strategies for Enhancing the Accuracy of the Content-Based Image Retrieval Systems","authors":"Zied Elleuch, K. Marzouki","doi":"10.1109/CGIV.2016.47","DOIUrl":"https://doi.org/10.1109/CGIV.2016.47","url":null,"abstract":"The multiple-assignments approach alleviates the quantization error and enhances the accuracy of the Content-Based Image Retrieval (CBIR) systems. It aims to hard assign each feature vector to k-nearest visual words. However, during the matching step, the k-nearest visual words are used independently and ignore the significant of the best visual word. In this paper, we present our CBIR system which encapsulates several approaches such Hamming embedding, soft-assignment, multiple-assignments and graph fusion. We particularly focus on the multiple-assignments strategy. We propose an efficient soft multiple-assignments strategy to highlight the best k-nearest visual word. To this end, we explore the SOM topology which proved its performance in so doing. Moreover, we use graph fusion approach to fuse multi-features ranking lists. Extensive experiments are conducted on Holiday and Ukbench public datasets. The experimental results are promising and outperform the state-of-the-art CBIR systems. In fact, we have reached a mAP = 85.6 on Holidays dataset and a KS score of 3.87 on Ukbench dataset.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121682858","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
Local Fog Detection Based on Saturation and RGB-Correlation 基于饱和和rgb相关的局部雾检测
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.10
Salma Alami, A. Ezzine, Fouad Elhassouni
{"title":"Local Fog Detection Based on Saturation and RGB-Correlation","authors":"Salma Alami, A. Ezzine, Fouad Elhassouni","doi":"10.1109/CGIV.2016.10","DOIUrl":"https://doi.org/10.1109/CGIV.2016.10","url":null,"abstract":"Fog is a natural and meteorological phenomenon that seems to be very dangerous for road driving. In its presence, the driver has a high perturbation in his field of view and must redouble vigilance. Therefore, it's primary to detect its presence to be able to adapt any advanced driver assistance system according to the density of fog. In this paper, we present a new local approach for detecting daytime fog based on the saturation and the correlation between the components of the RGB color space computed for a region around the picture vanishing point. Results show good fog detection for synthetic pictures and fast time-computation.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121714326","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: 9
Phase Extraction Method in Fringe Projection Profilometry Using Instantaneous Frequency 基于瞬时频率的条纹投影轮廓术中的相位提取方法
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.21
Rachid Idrissi El-Azami, H. Tairi, B. Bellach
{"title":"Phase Extraction Method in Fringe Projection Profilometry Using Instantaneous Frequency","authors":"Rachid Idrissi El-Azami, H. Tairi, B. Bellach","doi":"10.1109/CGIV.2016.21","DOIUrl":"https://doi.org/10.1109/CGIV.2016.21","url":null,"abstract":"Three-dimensional (3-D) surface profiles can be obtained by using non-contact optical profilometry techniques. Fringe projection profilometry is widely used for three dimensional (3-D) surface shape, measurement using phase-shifting (PS) methods with multiple projected fringe pattern or transform methods with single projected fringe pattern. In this paper, Our research has focused on the study of the phase extraction method from a single fringe pattern in fringe projection profilometry using the instantaneous frequency method as one of the relevant techniques in the field of signal processing. The main advantage of this method of analysis based on the notion of instantaneous frequency is that it requires only one fringe pattern, which made from this method well suited for real-time measurement. The effectiveness of the instantaneous frequency method is illustrated by their comparison with traditional methods.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122574002","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 Analysis Using Disc-Harmonic Moments and Their RST Invariants in Pattern Recognition 基于盘谐矩及其RST不变量的图像分析
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.37
Driss Moujahid, O. Elharrouss, H. Tairi
{"title":"Image Analysis Using Disc-Harmonic Moments and Their RST Invariants in Pattern Recognition","authors":"Driss Moujahid, O. Elharrouss, H. Tairi","doi":"10.1109/CGIV.2016.37","DOIUrl":"https://doi.org/10.1109/CGIV.2016.37","url":null,"abstract":"Moments and moment invariants are the most useful tools in pattern recognition. Recently, the Conventional Disc-Harmonic Moments (CDHMs) are used to describe binary and gray scale images. In order to deal with color images in a holistic manner, these CDHMs are generalized as Quaternion Disc-Harmonic Moments (QDHMs) by using the quaternion algebra. Then the Rotation, Scaling and Translation (RST) invariants (CDHMIs and QDHMIs) are derived for more description of images that have undergone affine transformations. In this paper we first illustrate the discrimination power of these moments by evaluating their efficiency in image reconstruction application. Then we propose a new approach for human face recognition based on these moment invariants (CDHMIs and QDHMIs) as descriptors and the Support Vector Machine (SVM) as supervised learning models that analyze data and recognize patterns. Experimental results, obtained using two public datasets, show that the proposed approach is more efficient when the disc-harmonic moments are used instead of other existing descriptors.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132299212","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
A Comparative Study of Handwritten Mathematical Symbols Recognition 手写体数学符号识别的比较研究
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.92
Yassine Chajri, Abdelkrim Maarir, B. Bouikhalene
{"title":"A Comparative Study of Handwritten Mathematical Symbols Recognition","authors":"Yassine Chajri, Abdelkrim Maarir, B. Bouikhalene","doi":"10.1109/CGIV.2016.92","DOIUrl":"https://doi.org/10.1109/CGIV.2016.92","url":null,"abstract":"In this paper we are going to apply four descriptors (GIST, PHOG, SURF and Centrist) and two classifiers (Artificial Neural Network (ANN) and Support Vector Machines (SVM)) for handwritten mathematical symbols recognition to achieve a comparative study based on the recognition rate.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133626107","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
Database of Handwritten Arabic Mathematical Formula Images 手写阿拉伯数学公式图像数据库
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.36
Ibtissem Hadj Ali, M. Mahjoub
{"title":"Database of Handwritten Arabic Mathematical Formula Images","authors":"Ibtissem Hadj Ali, M. Mahjoub","doi":"10.1109/CGIV.2016.36","DOIUrl":"https://doi.org/10.1109/CGIV.2016.36","url":null,"abstract":"Although publicly available, ground-truthed database have proven useful for training, evaluating, and comparing recognition systems in many domains, the availability of such database for handwritten Arabic mathematical formula recognition in particular, is currently quite poor. In this paper, we present a new public database that contains off-line handwritten mathematical expressions. We describe in this paper the different steps to acquire this database, from the collection of the mathematical expression corpora to the transcription of the collected data. Actually, the database contains 4 238 off-line handwritten mathematical expressions written by 66 writers and 20 300 handwritten isolated symbol images. The ground truth is also presented for the handwritten expressions as XML files with the number of symbols, and the MATHML structure.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115560297","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 Dissimilarity Measures of Frames in Visual Substitution System for Blind People 盲人视觉替代系统中框架的局部不相似度度量
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.53
Hanen Jabnoun, F. Morain-Nicolier, Faouzi Bensarti, H. Amiri
{"title":"Local Dissimilarity Measures of Frames in Visual Substitution System for Blind People","authors":"Hanen Jabnoun, F. Morain-Nicolier, Faouzi Bensarti, H. Amiri","doi":"10.1109/CGIV.2016.53","DOIUrl":"https://doi.org/10.1109/CGIV.2016.53","url":null,"abstract":"As the environment identification is a vital necessity for blind people, a visual substitution system based on video analysis is the solution to their problem. This paper focuses on the assessment and integration of the local dissimilarity map in the video processing. A Real Value local Dissimilarity Map is built for grayscale images in order to get an excellent detection of similar frames. The elimination of similar frames processing allows reducing the redundancy of objects re-identification.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132508175","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
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