发布求助
文献互助 智能选刊 最新文献

2011 Sixth International Conference on Image and Graphics最新文献

筛选
英文 中文
Robust Face Recognition by Sparse Local Features from a Single Image under Occlusion 遮挡下单幅图像稀疏局部特征的鲁棒人脸识别
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-30 DOI: 10.1109/ICIG.2011.179
Na Liu, J. Lai, Huining Qiu
{"title":"Robust Face Recognition by Sparse Local Features from a Single Image under Occlusion","authors":"Na Liu, J. Lai, Huining Qiu","doi":"10.1109/ICIG.2011.179","DOIUrl":"https://doi.org/10.1109/ICIG.2011.179","url":null,"abstract":"Occlusion and \"one sample per person\" are two challenging problems for face recognition and still not well solved till now. This paper investigates the two problems and proposes a novel method based on sparse local features to solve them. The contribution of our work is three-fold: first, the key characteristics of successful applying SIFT features for face recognition are analyzed. Second, based on the analysis of SIFT features, two new sparse local feature descriptors, namely Sparse HoG and Sparse LBP are proposed and they are combined together for extracting more discriminative features from an occluded and single image of one person. Third, a new matching strategy is proposed to measure the similarity between the testing and the gallery images. The proposed method is effective and efficient for solving the occlusion and ¡®one sample per person' problem. Experimental results on the AR database show that the proposed method outperforms the original SIFT, HoG, LBP based methods and also some other existing face recognition algorithms in terms of recognition accuracy.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"519 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134139391","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
Gabor Texture Information for Face Recognition Using the Generalized Gaussian Model 基于广义高斯模型的Gabor纹理信息人脸识别
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.139
Lei Yu, Yan Ma, Zijun Hu
{"title":"Gabor Texture Information for Face Recognition Using the Generalized Gaussian Model","authors":"Lei Yu, Yan Ma, Zijun Hu","doi":"10.1109/ICIG.2011.139","DOIUrl":"https://doi.org/10.1109/ICIG.2011.139","url":null,"abstract":"To reduce the dimensionality of the Gabor feature, this paper explores texture information from Gabor coefficients and presents two kinds of new Gabor texture representations for face recognition: Gabor real part-based texture representation (GRTR) and Gabor imaginary part-based texture representation (GITR). Specifically, GRTR and GITR are obtained using the generalized Gaussian distribution (GGD) to model the real and imaginary parts of Gabor coefficients, respectively. The estimated model parameters serve as texture representation. Experiments performed on Yale and FERET databases show that the proposed texture representations GRTR and GITR significantly outperform the widely used Gabor magnitude in terms of recognition accuracy.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"23 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":"115316603","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
A Rectangle Detection Method for Real-Time Extraction of Large Panel Edge 一种实时提取大面板边缘的矩形检测方法
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.83
Zhenyu Wu, Qingjie Kong, Jiapeng Liu, Yuncai Liu
{"title":"A Rectangle Detection Method for Real-Time Extraction of Large Panel Edge","authors":"Zhenyu Wu, Qingjie Kong, Jiapeng Liu, Yuncai Liu","doi":"10.1109/ICIG.2011.83","DOIUrl":"https://doi.org/10.1109/ICIG.2011.83","url":null,"abstract":"The problem of real-time rectangle detection on high-resolution image arises in actual panel production. This paper proposes a robust real-time method for panel rectangle detection. In line extraction part, a new technique called textquotedblleft Crossing Dilationtextquotedblright is proposed to improve the Progressive Probabilistic Hough Transform performance, to extract long line segments that are not perfectly straight in large sparse binary image. The rectangle is detected using the proposed rectangle fitting method. Experiments on a variety of real cases of large panels are executed, some of which are badly disturbed by the fake edges caused by the dust in the background region. The results show great real-time performance on all the cases, and the proposed method is robust to the disturbances and different panel sizes.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"52 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":"115439054","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
Inverse-degree Sampling for Spectral Clustering 光谱聚类的逆度采样
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.54
Haidong Gao, Yueting Zhuang, Fei Wu, Jian Shao
{"title":"Inverse-degree Sampling for Spectral Clustering","authors":"Haidong Gao, Yueting Zhuang, Fei Wu, Jian Shao","doi":"10.1109/ICIG.2011.54","DOIUrl":"https://doi.org/10.1109/ICIG.2011.54","url":null,"abstract":"Among those classical clustering algorithms, spectral clustering performs much better than K-means in most cases. However, for the sake of cubic time complexity, spectral clustering is hardly used for clustering large-scale data sets. Therefore, sampling-based methods such as Nystr¡§om method and Column sampling are respectively conducted as potential approaches to tackle this challenge. As we know, current sampling-based methods often utilize the uniform or other random sampling policies to select representative data and tend to disregard the data in small size clusters. This paper proposes an unbiased sampling framework, derives a new sampling method called inverse-degree sampling and then introduces an entropy criterion to prove it in theory simply. According to the selection of representative data by inverse-degree sampling in spectral clustering, the time complexity of spectral clustering becomes quadratic. Experiments on both toy data and real-world data demonstrate both the good sampling performance and the comparable clustering quality.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"12 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":"127134013","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
Depth Based View Synthesis with Artifacts Removal for FTV 基于深度的FTV视图合成与伪影去除
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.136
Li Yu, S. Xiang, Huiping Deng, Peng Zhou
{"title":"Depth Based View Synthesis with Artifacts Removal for FTV","authors":"Li Yu, S. Xiang, Huiping Deng, Peng Zhou","doi":"10.1109/ICIG.2011.136","DOIUrl":"https://doi.org/10.1109/ICIG.2011.136","url":null,"abstract":"View synthesis technology generates virtual views for display and high quality virtual view is of significantimportance to free-viewpoint TV (FTV) and three dimensional video(3DV). This paper proposes a novel virtual view synthesis method in multi-view system based on multi-view plus depth. Firstly, we project two reference depth maps to the intermediate virtual view and rectify the two candidate virtual depth maps. Secondly, we project reference texture to the virtual view with the rectified depth maps and blend the candidate virtual views. Finally, we in paint the remaining holes according to the adjacent depth and color samples in background regions. Experiment results demonstrate that the proposed method works well and generates high quality intermediate virtual views.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"39 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":"125033587","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
Minimum Spanning Tree Hierarchically Fusing Multi-feature Points and High-Dimensional Features for Medical Image Registration 基于最小生成树分层融合多特征点和高维特征的医学图像配准
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.96
Shaomin Zhang, Lijia Zhi, Dazhe Zhao, Hong Zhao
{"title":"Minimum Spanning Tree Hierarchically Fusing Multi-feature Points and High-Dimensional Features for Medical Image Registration","authors":"Shaomin Zhang, Lijia Zhi, Dazhe Zhao, Hong Zhao","doi":"10.1109/ICIG.2011.96","DOIUrl":"https://doi.org/10.1109/ICIG.2011.96","url":null,"abstract":"In this paper, we propose a novel medical registration approach based on minimal spanning tree. The proposed approach has the following contributions. (1) Compared with single type of feature points, we extracted corner-like and edge-like points from image, and added a few random points to cover the low contrast regions. (2) Instead of fixing the multi-feature points in the whole procedure, they are hierarchically updated at different registration stages. (3) Based on the feature points, in addition to using pixel intensity, we also added region based feature to include more spatial information. The proposed method is evaluated by performing registration experiments on Brain Web. The experimental results show that the proposed method achieves better robustness while maintaining good registration accuracy, compared to the conventional normalized mutual information (NMI) based registration method.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"86 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":"123756171","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
Image Class Segmentation via Conditional Random Field over Weighted Histogram Classifier 基于加权直方图分类器的条件随机场图像分类
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.119
Fei Xue, Yujin Zhang
{"title":"Image Class Segmentation via Conditional Random Field over Weighted Histogram Classifier","authors":"Fei Xue, Yujin Zhang","doi":"10.1109/ICIG.2011.119","DOIUrl":"https://doi.org/10.1109/ICIG.2011.119","url":null,"abstract":"Image class segmentation is a problem that combines image segmentation and image classification. Conditional random field can be used in image class segmentation to achieve state-of-the-art result, adding high-level information in the course of using low-level cues to conduct segmentation. In this paper we introduce a method using weighted neighborhood histogram on the over-segmented original images. First the image is over-segmented into segments to be performed as basic units. A classifier is then introduced to initialize the confidence value of each class on each pixel with histogram of features. Finally a conditional random field uses it alongside with boundary conditions generate the final result for class segmentation. The method is then tested on PASCAL VOC 07 set and is shown to have state-of-the-art result.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"49 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":"116246565","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
D-Note: Computer-Aided Digital Note Taking System on Physical Book D-Note:在实体书上的计算机辅助数字笔记系统
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.44
Da-wei Xie, Zhenkun Zhou, Jiangqin Wu
{"title":"D-Note: Computer-Aided Digital Note Taking System on Physical Book","authors":"Da-wei Xie, Zhenkun Zhou, Jiangqin Wu","doi":"10.1109/ICIG.2011.44","DOIUrl":"https://doi.org/10.1109/ICIG.2011.44","url":null,"abstract":"It is convenient for people to take notes directly on book pages while reading. But for public books, such as those borrowed from library, direct marking is inappropriate and forbidden. To solve this problem, we propose D-Note, a new computer-aided digital note taking system. D-note registers and distinguishes book page according to its visual features. It recognizes hand interactions on page with a depth image from Kinect [1]. Meanwhile it gets user operation intentions by speech recognition and dynamically creates a page-related digital note. The experiments and user study show that D-note is a worthwhile way to protect books and a good reading assist.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"106 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":"122475542","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 Medial Axis Extraction Algorithm for the Processing of Combustion Flame Images 一种用于燃烧火焰图像处理的内轴线提取算法
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.174
Tian Qiu, Yong Yan, G. Lu
{"title":"A Medial Axis Extraction Algorithm for the Processing of Combustion Flame Images","authors":"Tian Qiu, Yong Yan, G. Lu","doi":"10.1109/ICIG.2011.174","DOIUrl":"https://doi.org/10.1109/ICIG.2011.174","url":null,"abstract":"The quantitative characterization of combustion flames has long been an important but challenging issue both in combustion research and industrial applications. The shape of a flame is recognized as one of most useful characteristics in the adjustment of combustion parameters. Although medial axis is a useful shape representation of a flame, limited work has been reported on how to extract the medial axis of the flame. This paper describes an efficient algorithm, Horizontally-Cut Medial Axis (HCMA) algorithm, to detect the medial axis of an elongated flame. Experimental results indicate that the algorithm can determine the medial axis efficiently without any complex pruning process. Potential applications of flame medial axes on the flame shape representation are also discussed.","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":"114298956","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 Semantic Classification of Natural Image Based on Spatial Context 基于空间上下文的自然图像局部语义分类
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.126
Weining Wang, Jingjian Yi, Haopan Li, Yinzhe Lu
{"title":"Local Semantic Classification of Natural Image Based on Spatial Context","authors":"Weining Wang, Jingjian Yi, Haopan Li, Yinzhe Lu","doi":"10.1109/ICIG.2011.126","DOIUrl":"https://doi.org/10.1109/ICIG.2011.126","url":null,"abstract":"Image classification is a challenging research topic in image analyzing, and it is widely used in the area of image labelling and image semantic retrieval. In this paper, we first define a set of local semantic concepts to describe the local scene content, and then use the AdaBoost classifier to recognize the local semantics of the natural scene images. Furthermore, we propose three rules based on spatial context, which are semantic filtering, horizontal boundary and relative position of Sky, so as to improve the recognition accuracy of the local image semantic. Experiment result shows the effectiveness of our model.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"8 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":"116848651","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
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信