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Fourth International Conference on Image and Graphics (ICIG 2007)最新文献

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Analysis on Transmission Performance for Multiview Video Coding Schemes 多视点视频编码方案传输性能分析
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.56
You Yang, G. Jiang, Mei Yu, Randi Fu, Yo-Sung Ho
{"title":"Analysis on Transmission Performance for Multiview Video Coding Schemes","authors":"You Yang, G. Jiang, Mei Yu, Randi Fu, Yo-Sung Ho","doi":"10.1109/ICIG.2007.56","DOIUrl":"https://doi.org/10.1109/ICIG.2007.56","url":null,"abstract":"The performance of multiview video coding (MVC) scheme is the most important aspect to be considered in future implementations. Many works have been done on the discussions between encoding efficiency and prediction structures. However, the structure of MVC can greatly affect interaction between user and video server, which is important to evaluate MVC scheme besides PSNR. View dependency (VD) is defined based on graph theory to analyze transmission efficiency of MVC scheme. Three definitions and parameters are used to evaluate the performance on interaction and transmission of MVC structures. Experimental results show that VD can be used as a predictor to estimate corresponding transmission band-width for MVC scheme after video sequences are encoded it.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116630333","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
Kernel-based Global Folley-Sammon Discriminate Analysis 基于核函数的全局Folley-Sammon歧视分析
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.123
Chunyu Zhang, Tongyan Qi, Mianshu Chen, Wei Liu, Bin Li
{"title":"Kernel-based Global Folley-Sammon Discriminate Analysis","authors":"Chunyu Zhang, Tongyan Qi, Mianshu Chen, Wei Liu, Bin Li","doi":"10.1109/ICIG.2007.123","DOIUrl":"https://doi.org/10.1109/ICIG.2007.123","url":null,"abstract":"Kernel trick is a useful method dealing with the nonlinearity of patterns ' distribution, and widely used for non-linear pattern classification problem. Recently, many kernel-based Fisher discriminate methods were proposed, the features extracted by those methods are statistically uncorrelated, usually ineffectively when used in so called \"small sample problem \"(SSS), which exists in most FR tasks. To overcome this shortcoming, in this paper we present Kernel-based Global Folley-Sammon Discriminate Analysis (KGFS), it can be realized in three steps: firstly by combing kernel function, map data onto an implicit high-dimensional feature space, secondly construct orthogonal feature space there, finally calculate iterative global orthogonal discriminate vectors. Experiments have been done on ORL dataset. In terms of classification error rate performance, proposed kernel based method KGFS has a better performance than other three commonly used kernel-based methods, such as GDA, MGDAandKDDA.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121030960","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 Denoising Using Hybrid Contourlet and Bandelet Transforms 基于Contourlet和Bandelet混合变换的图像去噪
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.110
Beibei Song, Lu-ping Xu, Wenfang Sun
{"title":"Image Denoising Using Hybrid Contourlet and Bandelet Transforms","authors":"Beibei Song, Lu-ping Xu, Wenfang Sun","doi":"10.1109/ICIG.2007.110","DOIUrl":"https://doi.org/10.1109/ICIG.2007.110","url":null,"abstract":"This paper proposed a new multiscale and multidirectional image representation method named CBlet transform. It combines the new contourlet transform with the second-generation bandeletzation procedure. Thereinto, the contourlet transform captures image discontinuous points and links them into linear structures, then the bandeletization procedure pursuits the linear structures adoptively and further removes their correlation. The CBlet transform obtains much sparser representation than the new contourlet transform at the same redundancy. Numerical experiments on image denoising show that the proposed CBlet transform can outperform the new contourlet transform both in term of PSNR and in visual quality.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131017978","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
Fast Implementation of Gray-scale Morphological Matching Measurement 灰度形态匹配测量的快速实现
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.92
Wu Wei, Zhu Guangxi, C. Yunfeng
{"title":"Fast Implementation of Gray-scale Morphological Matching Measurement","authors":"Wu Wei, Zhu Guangxi, C. Yunfeng","doi":"10.1109/ICIG.2007.92","DOIUrl":"https://doi.org/10.1109/ICIG.2007.92","url":null,"abstract":"This paper describes a fast algorithm for gray-scale image matching. This algorithm is based on the opening operation of mathematical morphology and presents a concept of morphological size in theory. By operating the morphological size of the discrepancy function between two gray-scale images, their matching degree can be measured well. By analyzing the sufficient condition to the result of that gray-scale image opened by 3-D sphere is non-empty in 3-D digital space, we adopted a technique of threshold decomposition to transform morphological operations from gray-scale to binary, which resolved the problems of difficult construction to 3-D structuring element and complex operations. A fast method of interval approximation was proposed to calculate the gray-scale morphological size quickly. Binary morphological operations use flat structuring elements and it is essentially boolean operations. Thus, this fast algorithm can be applied on the hardware platform well.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132089365","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
Line Detection for Point Set of Varying Discrete Degrees 变离散度点集的直线检测
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.125
Haidong Yuan, Huadong Ma
{"title":"Line Detection for Point Set of Varying Discrete Degrees","authors":"Haidong Yuan, Huadong Ma","doi":"10.1109/ICIG.2007.125","DOIUrl":"https://doi.org/10.1109/ICIG.2007.125","url":null,"abstract":"Many line detection algorithms based on Hough transform are used to work on continuous set of points, such as edge image, which is composed of continuous or almost continuous points. When these algorithms work on the high-discrete point set, they produce the multi-short-line segments because of the noise and large gaps between points, which seldom characterize the whole line segment completely. We proposed an improved HoughLines algorithm to solve this problem: First, we propose a new sorting strategy of the point coordinates that is self-adaptive for each line segment; second, we improve the strategy of finding the non-background points that contributed to peaks of Hough transform matrix through a tolerance threshold. The improved algorithm can detect line segments in point set of varying discrete degrees at a high precision. A number of experiments show our method is very efficient.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132885675","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
Multi-sensor Satellite Image Sub-pixel Registration 多传感器卫星图像亚像素配准
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.141
S. Xing, Qing Xu, Dongyang Ma
{"title":"Multi-sensor Satellite Image Sub-pixel Registration","authors":"S. Xing, Qing Xu, Dongyang Ma","doi":"10.1109/ICIG.2007.141","DOIUrl":"https://doi.org/10.1109/ICIG.2007.141","url":null,"abstract":"One way of geocoding a remote sensing image is to register it to an existing orthoimage. A multi-sensor and multi-resolution remote sensing image sub-pixel registration scheme is proposed in this paper. In this registration scheme, point feature, three image matching algorithms (ICM, PRM, ISM) and three constraints (APC, CDM, ICC) are used. They guarantee that the precision of point matching reaches sub-pixel and the distribution of feature points are self-adapted to the area terrain. Then TIN is constructed with feature points. Finally the target image is rectified based on TIN with the improved triangle filling algorithm. Experiment results demonstrate that the registration accuracy of SPOT5 panchromatic image (2.5 m/pixel) is 2-3 m and SPOT5 multi-spectral image (10 m/pixel) is 5-6 m. Since the method has good feasibility, efficiency and accuracy, it has been used in some emergencies such as disaster evaluation, paroxysmal epidemic situation and local war.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"101 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114100835","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
Multimodal Recognition Based on Fusion of Ear and Profile Face 基于耳脸和轮廓脸融合的多模态识别
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.143
Xiaona Xu, Zhichun Mu
{"title":"Multimodal Recognition Based on Fusion of Ear and Profile Face","authors":"Xiaona Xu, Zhichun Mu","doi":"10.1109/ICIG.2007.143","DOIUrl":"https://doi.org/10.1109/ICIG.2007.143","url":null,"abstract":"Ear recognition is proved to be a new and promising authentication technique. Because of ear's special physiological structure and location, it is reasonable to combine ear with profile face for recognition in such scenarios as frontal face images are not available. In this paper, a novel non-intrusive multimodal recognition technology based on ear and profile face is proposed. First, only the face profile- view images are captured for recognition. Then ear classifier and profile face classifier based on Full- Space linear Discriminant Analysis (FSIDA) are set up. Finally decision fusion of ear and profile face is carried out using the combination methods of Product, Sum and Median rules according to the Bayesian theory and a modified Vote rule for two classifiers is presented. The results of experiment show that the recognition rate is higher than that of the recognition adopting the single feature, and that the recognition range is larger than that of both uni-modality.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131916813","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: 26
Enhanced Appearance Models for Object Tracking 用于对象跟踪的增强外观模型
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.84
A. Zhao, M. Brooks, A. Dick
{"title":"Enhanced Appearance Models for Object Tracking","authors":"A. Zhao, M. Brooks, A. Dick","doi":"10.1109/ICIG.2007.84","DOIUrl":"https://doi.org/10.1109/ICIG.2007.84","url":null,"abstract":"This paper is concerned with improving target appearance models to realize robust object tracking. We explore the use of feature space other than the commonly used color space for object tracking. Specifically, we employ gradient information to be used separately as well as in conjunction with color information. Our target appearance model is then represented in the form of a histogram using its gradient and color feature spaces, and frame-to-frame tracking is performed using mean shift or local exhaustive search. By combining gradients with color, we build new appearance models with combined feature spaces. Based on our extensive testing of these models, we find that they can be used to track complex objects, such as full 360-degree rotating objects, appearance-changing objects, occluding objects and zooming objects.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134221035","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
An Improved Method of Wavelets Basis Image Denoising Using Besov Norm Regularization 基于Besov范数正则化的改进小波基图像去噪方法
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.52
Hong Yang, Yiding Wang
{"title":"An Improved Method of Wavelets Basis Image Denoising Using Besov Norm Regularization","authors":"Hong Yang, Yiding Wang","doi":"10.1109/ICIG.2007.52","DOIUrl":"https://doi.org/10.1109/ICIG.2007.52","url":null,"abstract":"This paper proposes art improved image denoising algorithm which bases on wavelets thresholding - and uses the Besov norm regularization. Given a noisy image u<sub>0</sub> and suppose the target image u belongs to we need to solve the Besov space B<sup>a</sup> <sub>q</sub>(L<sup>p</sup>) optimization problem: min ||u||<sup>q</sup> <sub>B</sub> <sup>a</sup> <sub>q</sub> <sub>(L</sub> <sup>p</sup> <sub>)</sub> <sub>+</sub> lambda/2|| u - u<sub>0</sub> ||<sup>2</sup> <sub>L</sub> <sup>2</sup> The existing algorithms used the fixed parameters p, q, a of B<sup>a</sup> <sub>q</sub>(L<sup>p</sup>) to determine the threshold of wavelets reconstruction. Since different parts of an image may have different smoothness properties, and wavelet coefficients denote different frequency subbands of an image, the subimages at each wavelets scale level may have distinct smoothness properties. The larger the a is, the smoother the images are in B<sup>a</sup> <sub>q</sub>(L<sup>p</sup>). Taking the smoothness index a into account, we try to optimize the alpha<sub>j</sub> at different wavelet scale j with p,q fixed. Experimental results show that our method achieves better denoising effect with higher PSNR than the alpha fixed method.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116079989","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: 16
A DataMatrix-based Mutant Code Design and Recognition Method Research 基于数据矩阵的突变码设计与识别方法研究
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.5
Leng Biao
{"title":"A DataMatrix-based Mutant Code Design and Recognition Method Research","authors":"Leng Biao","doi":"10.1109/ICIG.2007.5","DOIUrl":"https://doi.org/10.1109/ICIG.2007.5","url":null,"abstract":"Based on DataMatrix 2D barcode, a DataMatrix mutant barcode which was also a matrix 2D barcode was designed. A distorted image of a mutant barcode was obtained by simulating actual environment. The barcode area in the image was acquired by barcode localizing. After the barcode area being analyzed, these barcode characteristic parameters were abstracted and the distorted image fitting formula was gained by exercise, which set up the correspondence between distorted barcode image point coordinates and the standard one. Thus the 01 code of mutant barcode of the distorted image can be abstracted. The implicit information in the 01 code can be decoded with DataMatrix decode method. From the actual testing result, the barcode recognizing speed is faster than others by this way, and this method was robust.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123560624","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: 16
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