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2011 Sixth International Conference on Image and Graphics最新文献

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Intervertebral Disc Shape Analysis with Geodesic Metric in Shape Space 形状空间中测地线度量的椎间盘形状分析
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.41
Shijie Hao, Jianguo Jiang, Yanrong Guo, Shu Zhan
{"title":"Intervertebral Disc Shape Analysis with Geodesic Metric in Shape Space","authors":"Shijie Hao, Jianguo Jiang, Yanrong Guo, Shu Zhan","doi":"10.1109/ICIG.2011.41","DOIUrl":"https://doi.org/10.1109/ICIG.2011.41","url":null,"abstract":"Shapes of anatomical structures extracted from medical imaging usually contain diagnostic and therapeutic cues in clinical applications. In this paper, we propose a framework on analyzing disc shapes based on a geodesic metric in an anatomical shape space. All disc shapes, containing both normal and abnormal ones, are formulated as elements in this space. The geodesic connecting these elements and other statistics are then numerically approximated. With these tools quantifying the intrinsic difference between disc shapes, the normal shapes from a dataset are unsupervisedly clustered and a statistical inference based on the learned Gaussian model is made. Experimental results show a reasonable accuracy of classifying normal and abnormal intervertebral discs.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115475151","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
Weighted Local Binary Pattern Infrared Face Recognition Based on Weber's Law 基于韦伯定律的加权局部二值模式红外人脸识别
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.51
Zhihua Xie, Guodon Liu
{"title":"Weighted Local Binary Pattern Infrared Face Recognition Based on Weber's Law","authors":"Zhihua Xie, Guodon Liu","doi":"10.1109/ICIG.2011.51","DOIUrl":"https://doi.org/10.1109/ICIG.2011.51","url":null,"abstract":"The traditional LBP Histogram representation extracts the local micro-patterns and assigns the same weight all local micro-patterns. To combine the different contribution to face recognition, this paper proposes a weighted LBP histogram based on Weber's law. Firstly, inspired by psychological Weber's law, intensity of local micro-pattern is defined by the ratio between two terms: one is relative intensity differences of a central pixel against its neighbors, the other is intensity of local central pixel. Secondly, regarding the intensity of local micro-pattern as its weight, the weighted LBP histogram is constructed with the defined weight. Finally, to make full use of the space location information and lessen the complexity of recognition, the partitioning and uniform patterns are applied to get final features. The experiment results demonstrate that the proposed method outperforms the methods based on traditional LBP.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"306 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123476877","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: 21
Near Infrared Face Image Quality Assessment System of Video Sequences 视频序列近红外人脸图像质量评价系统
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.45
Jianfeng Long, Shutao Li
{"title":"Near Infrared Face Image Quality Assessment System of Video Sequences","authors":"Jianfeng Long, Shutao Li","doi":"10.1109/ICIG.2011.45","DOIUrl":"https://doi.org/10.1109/ICIG.2011.45","url":null,"abstract":"In near infrared face recognition systems, situations including head rotation, motion blur, darkness, eyes closed, mouth opened and the small face region will deteriorate the recognition accuracy. Thus, it is necessary to design a quality assessment system to select the best frame from the input video sequence before face recognition or saving it to database. In this paper we present a scoring evaluation system based on five features including sharpness, brightness, resolution, head pose and expression. Firstly, the score of each feature is computed independently, and then the final quality score is obtained by combining the scores of five features with weights. Center for Biometrics and Security Research (CBSR) Near Infrared Face Dataset is used to test the system. The experiment results demonstrate the effectiveness of the proposed quality assessment.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125943505","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: 24
Classification of Driving Postures by Support Vector Machines 基于支持向量机的驾驶姿态分类
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.184
Chihang Zhao, Bailing Zhang, Jie Lian, Jie He, Tao Lin, Xiaoxiao Zhang
{"title":"Classification of Driving Postures by Support Vector Machines","authors":"Chihang Zhao, Bailing Zhang, Jie Lian, Jie He, Tao Lin, Xiaoxiao Zhang","doi":"10.1109/ICIG.2011.184","DOIUrl":"https://doi.org/10.1109/ICIG.2011.184","url":null,"abstract":"The objective of this study is to investigate different pattern classification paradigms in the automatically understanding and characterizing driver behaviors. With features extracted from a driving posture dataset consisting of grasping the steering wheel, operating the shift lever, eating a cake and talking on a cellular phone, created at Southeast University, holdout and cross-validation experiments on driving posture classification are firstly conducted using Support Vector Machines (SVMs) with five different kernels, and then comparatively conducted with other four commonly used classification methods including linear perception classifier, k-nearest neighbor classifier, Multi-layer perception classifier, and parzen classifier. The holdout experiments show that the intersection kernel outperforms the other four kernels, and the SVMs with intersection kernel offers better classification rates and best real-time quality among the five classifiers, which shows the effectiveness of the proposed feature extraction method and the importance of SVM classifier in automatically understanding and characterizing driver behaviors towards human-centric driver assistance systems.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128193453","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: 23
A Double-Layer Model for Foreground Detection from Video Sequence 视频序列前景检测的双层模型
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.33
Huanxi Liu, Junchi Yan, Jun Zhu, Xiaowei Lv, Xiong Li, Tianhong Zhu, Yuncai Liu
{"title":"A Double-Layer Model for Foreground Detection from Video Sequence","authors":"Huanxi Liu, Junchi Yan, Jun Zhu, Xiaowei Lv, Xiong Li, Tianhong Zhu, Yuncai Liu","doi":"10.1109/ICIG.2011.33","DOIUrl":"https://doi.org/10.1109/ICIG.2011.33","url":null,"abstract":"This paper proposes a method for background modeling and foreground detection in video. This method divides the background into two layers, the dynamic layer and the static layer. An energy descriptor is proposed to analysis the motion state in dynamic layer while a grid filter is proposed to reduce the negative impact of sudden illumination change such as light switching off. Experiment results compared with four typical algorithms show that this method outperforms others in most challenging videos including sudden illumination change and some complex backgrounds.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128229775","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
Invariant Image Recognition Using Radial Jacobi Moment Invariants 基于径向Jacobi矩不变性的图像识别
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.62
Bing Xiao, Jianfeng Ma, Jiangtao Cui
{"title":"Invariant Image Recognition Using Radial Jacobi Moment Invariants","authors":"Bing Xiao, Jianfeng Ma, Jiangtao Cui","doi":"10.1109/ICIG.2011.62","DOIUrl":"https://doi.org/10.1109/ICIG.2011.62","url":null,"abstract":"As orthogonal moments in the polar coordinate, radial orthogonal moments such as Zernike, pseudo-Zernike and orthogonal Fourier-Mellin moments have been successfully used in the field of pattern recognition. However, the scale and rotation invariant property of these moments has not been studied. In this paper, we present a generic approach based on Jacobi-Fourier moments for scale and rotation invariant analysis of radial orthogonal moments. It provides a fundamental mathematical tool for invariant analysis of the radial orthogonal moments since Jacobi-Fourier moments are the generic expressions of radial orthogonal moments. Experimental results show the efficiency and the robustness to noise of the proposed method for recognition tasks.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129568813","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
Abnormal Behavior Detection via Sparse Reconstruction Analysis of Trajectory 基于轨迹稀疏重建分析的异常行为检测
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.104
Ce Li, Zhenjun Han, Qixiang Ye, Jianbin Jiao
{"title":"Abnormal Behavior Detection via Sparse Reconstruction Analysis of Trajectory","authors":"Ce Li, Zhenjun Han, Qixiang Ye, Jianbin Jiao","doi":"10.1109/ICIG.2011.104","DOIUrl":"https://doi.org/10.1109/ICIG.2011.104","url":null,"abstract":"This paper proposes a new method for abnormal behavior detection in surveillance videos via sparse reconstruction analysis. The motion trajectories of objects are firstly defined as fixed-length parametric vectors based on approximating cubic B-spline curves. Then the vectors are classified as behavior patterns and finally distinguished between normal and abnormal behaviors based on sparse reconstruction analysis, in which a classifier is constructed with sparse linear reconstruction coefficients by computing L1-norm minimization and sparse reconstruction residuals learning from labeled training samples. Experimental results on public dataset show the effectiveness of the proposed approach.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129663873","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: 47
Quasi-convex Optimization of Metrics in Biometric Score Fusion 生物特征评分融合中指标的拟凸优化
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.50
Yanmin Gong, Jiansheng Chen, G. Su
{"title":"Quasi-convex Optimization of Metrics in Biometric Score Fusion","authors":"Yanmin Gong, Jiansheng Chen, G. Su","doi":"10.1109/ICIG.2011.50","DOIUrl":"https://doi.org/10.1109/ICIG.2011.50","url":null,"abstract":"In this paper, we address the problem of score fusion in biometric authentication. Single valued metrics related to the receiver operating characteristics (ROC) curve, such as Equal Error Rate (EER) and False Rejection Rate (FRR) when False Acceptance Rate equals zero, are extensively used for evaluating biometric authentication performances. Various requirements and preferences, for example, lower EER, or smaller FRR, may be imposed on biometric authentication systems in different application scenarios. We propose a novel method of score fusion based on quasi-convex optimization to directly improve biometric authentication metrics. Experiments based on a face recognition system demonstrate the effectiveness of the proposed method.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127240068","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
Fusion Algorithm for Infrared-Visual Image Sequences 红外视觉图像序列的融合算法
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.30
Xin Wang, Gaolue Li
{"title":"Fusion Algorithm for Infrared-Visual Image Sequences","authors":"Xin Wang, Gaolue Li","doi":"10.1109/ICIG.2011.30","DOIUrl":"https://doi.org/10.1109/ICIG.2011.30","url":null,"abstract":"A novel fusion algorithm for infrared and visible image sequences based on moving target detection is proposed. The target regions are detected from the infrared sequences using improved mixed inter-frame difference. Only the target regions of infrared and visible images are fused with the new proposed fusion rules of nonsubsampled Contourlet transform (NSCT). Then the fused target regions are combined with background regions of visible images. The experimental results show that the method is feasible and efficient, not only possesses good infrared target feature, but also keeps the same detail information of the visible image.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128997292","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
Integrating Boundary Cue with Superpixel for Image Segmentation 结合边界提示和超像素的图像分割
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.145
Linjia Sun, Xiaohui Liang
{"title":"Integrating Boundary Cue with Superpixel for Image Segmentation","authors":"Linjia Sun, Xiaohui Liang","doi":"10.1109/ICIG.2011.145","DOIUrl":"https://doi.org/10.1109/ICIG.2011.145","url":null,"abstract":"This paper researches image segmentation as a global optimization problem and proposes a new way, which is called super pixel status model, to integrate boundary and region cue. Super pixel status model is a label model which describes the joint distribution of boundary and region classification in a bayesian framework. For organizing a boundary classifier, the contour of super pixel is decomposed into multiple line segments, and a robust line descriptor is presented to form line feature vector. Finally, an objective function is defined to assemble all super pixels statuses across the entire image for segmentation. Experiments and results show that the effectiveness of our approach.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121665611","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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