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

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Mesh Simplification Algorithm Based on Quadrangle Collapse 基于四边形塌陷的网格简化算法
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.133
Hua-hong Chen, Xiaonan Luo, Ruotian Ling
{"title":"Mesh Simplification Algorithm Based on Quadrangle Collapse","authors":"Hua-hong Chen, Xiaonan Luo, Ruotian Ling","doi":"10.1109/ICIG.2007.133","DOIUrl":"https://doi.org/10.1109/ICIG.2007.133","url":null,"abstract":"Many applications of Virtual Reality require 3D models. In this paper, quadrangles in the triangle mesh are defined. We put forward a quadrangle collapse based mesh simplification algorithm which can rapidly produce high approximations of 3D models. The algorithm uses iterative collapse of quadrangle to simple models and maintains surface error approximations using quadric matrices. Three vertices and six faces are collapsed in one iteration, thereby the algorithm can rapidly generate high-quality approximations of polygonal models with minimal times of collapses than Garland's and Pan's algorithms. The experiment results demonstrate the efficiency of the new algorithm.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"9 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":"123856863","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
Double-Step Circle Drawing Algorithm with and without Grey Scale 带灰度和不带灰度的双步圆绘制算法
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.83
Yong Kui Liu, X. Li
{"title":"Double-Step Circle Drawing Algorithm with and without Grey Scale","authors":"Yong Kui Liu, X. Li","doi":"10.1109/ICIG.2007.83","DOIUrl":"https://doi.org/10.1109/ICIG.2007.83","url":null,"abstract":"In this paper, a double-step circle drawing algorithm is presented first. It chooses the best approximate pixels to the circle with only integer arithmetic. The results of comparison show that its speed is higher than the existing circle drawing algorithms. Furthermore, this algorithm can be used to draw anti-aliased circles, e.g. to draw filled circle edges with different intensity, without increase in calculations. It generates two more intermediate shades of grey scale than the double-step algorithm by Wu and Rokne and the greatest error of intensity is only half of that of the latter.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"36 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":"131593066","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 Joint Texture Description Method Utilizing Visual and Semantic Features 一种利用视觉和语义特征的联合纹理描述方法
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.12
Zhengping Liang, Zhen Ji, Zhiqiang Wang
{"title":"A Joint Texture Description Method Utilizing Visual and Semantic Features","authors":"Zhengping Liang, Zhen Ji, Zhiqiang Wang","doi":"10.1109/ICIG.2007.12","DOIUrl":"https://doi.org/10.1109/ICIG.2007.12","url":null,"abstract":"Image texture is an important feature in content-based image retrieval system. To characterize the texture feature of images, we propose an effective texture description combining the visual and semantic features. It captures the visual feature of the texture in a greatly reduced texture spectrum scheme; furthermore, it can describe the semantic feature of texture in natural language thanks to linguistic variable. We also put forward a semantic feature extraction algorithm using neural network. Our experimental results demonstrate that the texture description has excellent performance in catching the visual and semantic content of the image texture. In some extent it can bridge the \"semantic gap\" between the low-level visual feature and high-level semantic feature in content-based image retrieval.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"33 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":"121335715","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
Hierarchical Classification for Imbalanced Multiple Classes in Machine Vision Inspection 机器视觉检测中不平衡多类的分层分类
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.106
Bing Luo, Yun Zhang
{"title":"Hierarchical Classification for Imbalanced Multiple Classes in Machine Vision Inspection","authors":"Bing Luo, Yun Zhang","doi":"10.1109/ICIG.2007.106","DOIUrl":"https://doi.org/10.1109/ICIG.2007.106","url":null,"abstract":"Quality inspection based on machine vision is a multi-classification for imbalanced samples from many minority default-classes and a majority normal-class. Traditional methods seeking classification accuracy over a full range of instances are not suitable to deal with this case, since they tend to classify all samples into the majority class, usually the less important class. This paper proposed a hierarchical classification method that a simple bi-classifier with less features input made out most normal-class samples with a permitted low error rate for minority samples, then the rest less imbalanced samples were learned to establish a complicated multi-classifier with more features input. In classification after learning, two classifiers worked parallel and the simple classifier of the first layer can end the second one when normal-class result has been got. Comparative experimental results showed that this approach could effectively improve learning performance and accelerate classification speed.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"140 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":"116450953","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
Multi-scale Morphologic Tracking Approach for Edge Detection 边缘检测的多尺度形态学跟踪方法
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.140
Zhenhua Li, Yingping Yang, Wei Jiang
{"title":"Multi-scale Morphologic Tracking Approach for Edge Detection","authors":"Zhenhua Li, Yingping Yang, Wei Jiang","doi":"10.1109/ICIG.2007.140","DOIUrl":"https://doi.org/10.1109/ICIG.2007.140","url":null,"abstract":"Aimed at eliminating the noise in the images, an edge detection algorithm based on multi-scale morphologic edge tracking approach is introduced in this paper. While edge detecting it can restrain the noise efficiently, if proper threshold parameters are selected. First, the morphology gradient is calculated under each scale. Second, after tracing the edge images acquired by sequential scale structuring elements, noises have been removed and useful edge informations have been reserved. Third, different weights are imposed to construct the outcome edge image. By comparing with other edge detection algorithms, the feasibility and superiority of this algorithm have been verified according to the experiment result.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"21 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":"125949097","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
Local Gabor Fisher Classifier for Face Recognition 局部Gabor Fisher人脸识别分类器
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.127
N. Sang, Jiawei Wu, Kun Yu
{"title":"Local Gabor Fisher Classifier for Face Recognition","authors":"N. Sang, Jiawei Wu, Kun Yu","doi":"10.1109/ICIG.2007.127","DOIUrl":"https://doi.org/10.1109/ICIG.2007.127","url":null,"abstract":"This paper proposes a novel Local Gabor Fisher Classifier (LGFC) for face recognition. Gabor feature vector has been recognized as one of the most successful face representations, however, its dimension is too high for fast extraction and accurate classification. In LGFC, Local Feature Analysis (LFA) is exploited to select the most informative Gabor features (hereinafter as local Gabor features) optimally. The selected low-dimensional local Gabor features are then classified by Fisher Linear Discriminant (FLD) for final face identification. We demonstrate that Gabor representation is much more robust than gray-level intensity to image variation caused by the imprecision of facial feature localization. Comparative studies of different similarity measures to local fisher classifier and local Gabor fisher classifier are also performed. The experiments on two traditional face databases, ORL and Aberdeen, have shown that compared with other face recognition schemes, the proposed method can effectively reduce the dimensionality of Gabor features and greatly increase the recognition accuracy.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"8 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":"124199671","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
Example based Super-Resolution Algorithm of Video in Contourlet Domain 基于实例的Contourlet域视频超分辨率算法
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.86
Wei Ni, Baolong Quo, Liu Yang
{"title":"Example based Super-Resolution Algorithm of Video in Contourlet Domain","authors":"Wei Ni, Baolong Quo, Liu Yang","doi":"10.1109/ICIG.2007.86","DOIUrl":"https://doi.org/10.1109/ICIG.2007.86","url":null,"abstract":"An example based super-resolution algorithm for digital video using contourlet transform is proposed in this paper. The input is a low resolution video sequence together with a high resolution still image of similar content. Firstly, the low resolution frames are interpolated to the same spatial resolution as the reference still image. For the good properties of directional, multiscale and anisotropy, the nonsub-sampled contourlet is utilized to create the training set of transform coefficient patches from the high resolution still image. Block based motion estimation is then applied inside the complete training set to find the best matching between interpolated frame and reference still image. According to the correspondence between low frequency and high frequency pairs, the missing high frequency information of the input frame can be easily learned from the training set. Finally, an inverse contourlet transform is applied to the interpolated frame and supplement high frequency subbands to recover the super-resolved image. Preliminary experimental results on video frames show that the proposed super- resolution algorithm outperforms conventional spatial interpolation methods and wavelet based interpolation algorithm both in visual quality and the PSNR value.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"36 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":"126863719","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
A Multi-scale Phase Method for Content Based Image Retrieval 基于内容的图像检索的多尺度相位方法
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.14
Xingxing Chen, Rong Zhang, Zhengkai Liu, Lei Song
{"title":"A Multi-scale Phase Method for Content Based Image Retrieval","authors":"Xingxing Chen, Rong Zhang, Zhengkai Liu, Lei Song","doi":"10.1109/ICIG.2007.14","DOIUrl":"https://doi.org/10.1109/ICIG.2007.14","url":null,"abstract":"In this paper, we present a method using phase features for content based image retrieval (CBIR). Two related key issues of CBIR are feature extraction and similarity measure. However, most traditional methods treat them respectively and prevent further performance improvement. The method proposed here is based on the multi-scale local phase feature (MLPF) and local weighted phase correlation which combines the above two issues together by phase. And phase data is often locally stable with respect to noise, scale change and common illumination change. Moreover, we implement steerable filters to obtain rotation invariant. Finally, experiments have been conducted on image retrieval to show the effectiveness of the proposed 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":"129054534","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
Investigation on Deblurring of Remote Sensing Images Using Bayesian Principle 基于贝叶斯原理的遥感图像去模糊研究
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.120
Wang Zhen-guo, Geng Ze-xun
{"title":"Investigation on Deblurring of Remote Sensing Images Using Bayesian Principle","authors":"Wang Zhen-guo, Geng Ze-xun","doi":"10.1109/ICIG.2007.120","DOIUrl":"https://doi.org/10.1109/ICIG.2007.120","url":null,"abstract":"Firstly, this paper briefly introduces the causations that lead to the image degradation in the data obtaining and transmission process of remote sensing. Secondly, it deduces a kind of remote sensing image debluring algorithm that is independent of the objects imaging model. The experimental results show that the algorithm is capable of resisting-noise with robustness, especially it is more suitable for the situation without any prior knowledge.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"9 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":"128083218","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
Image-Based Model Reconstruction Using Textured Planes 使用纹理平面的基于图像的模型重建
Fourth International Conference on Image and Graphics (ICIG 2007) Pub Date : 2007-08-22 DOI: 10.1109/ICIG.2007.116
Bin Sheng, E. Wu
{"title":"Image-Based Model Reconstruction Using Textured Planes","authors":"Bin Sheng, E. Wu","doi":"10.1109/ICIG.2007.116","DOIUrl":"https://doi.org/10.1109/ICIG.2007.116","url":null,"abstract":"In this paper, we propose a representation of image- based models by textured planes augmented to surface geometry reconstructed from a sequence of depth images. Each textured plane is a textured and partially transparent plane into which the texture from the input images is mapped using projective texturing. That is, a set of textured planes, or billboards, that look like the input when seen from the input viewpoints. The process comprises two fundamental steps, repeated until the input data has been exhausted. These steps in our method, are spatial sampling of the input scene and search for fitting planes. In the first step, the geometry of the objects in the input scene is sampled using measures of optic flow. Then, we find a set of planes that fit the approximate sampled geometry obtained in the first step. Under this hybrid reconstruction, texture mapping can be employed to deterministic ally identify coincident rays from different view points and thus achieve high quality rendering, with taking full advantages of the acceleration utility of graphics.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"10 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":"131880115","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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