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Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.最新文献

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Comparison of eigenface-based feature vectors under different impairments 基于特征面的特征向量在不同损伤下的比较
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334111
Aristodemos Pnevmatikakis, L. Polymenakos
{"title":"Comparison of eigenface-based feature vectors under different impairments","authors":"Aristodemos Pnevmatikakis, L. Polymenakos","doi":"10.1109/ICPR.2004.1334111","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334111","url":null,"abstract":"We study the performance of a new eigenface-based method for face recognition. Specifically, we perform DCT preprocessing followed by the PCA-LDA combination. We compare the new method to existing ones (PCA, PCA-LDA, DCT-PCA) under impairments like changes in brightness, direction-of-illumination, hairstyle, clothing, expression, head orientation, and added noise. In this paper feature extraction methods are outlined. The results are obtained using two different face databases: the Aberdeen database from University of Stirling and the ORL database from University of Cambridge.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131850167","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: 14
Hiding multiple data in color images by histogram modification 通过直方图修改隐藏彩色图像中的多个数据
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1333893
S. Pei, Y. Zeng
{"title":"Hiding multiple data in color images by histogram modification","authors":"S. Pei, Y. Zeng","doi":"10.1109/ICPR.2004.1333893","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1333893","url":null,"abstract":"We present a new histogram-based data-hiding algorithm that secret data is embedded in the least significant bit of the histogram value. To change the pixel value, it alters the histogram to accomplish data-hiding work. In the proposed algorithm, it is able to perform data hiding on the one-dimension histogram, two-dimension histogram map and three-dimension histogram cube. Besides, the multiple secret data hiding in various combinations of histogram spaces are successfully demonstrated in our experimental results. In addition, the natural and limited color images are tested in our experiments.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"39 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132976538","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
Online multicamera tracking with a switching state-space model 切换状态空间模型的在线多摄像机跟踪
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.656
W. Zajdel, A. Cemgil, B. Kröse
{"title":"Online multicamera tracking with a switching state-space model","authors":"W. Zajdel, A. Cemgil, B. Kröse","doi":"10.1109/ICPR.2004.656","DOIUrl":"https://doi.org/10.1109/ICPR.2004.656","url":null,"abstract":"The paper presents a novel method for online tracking of multiple objects with non-overlapping cameras. The method is based on a generative model defining probabilistic dependencies between observations, the underlying color properties of objects and their dynamics. It allows for a full Bayesian inference of trajectories. We developed an online algorithm for efficient, approximate inference and we demonstrate it to be accurate in an office environment.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127581843","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: 15
Hidden Markov models for couples of letters applied to handwriting recognition 用于手写识别的一对字母的隐马尔可夫模型
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334324
Xavier Dupré, E. Augustin
{"title":"Hidden Markov models for couples of letters applied to handwriting recognition","authors":"Xavier Dupré, E. Augustin","doi":"10.1109/ICPR.2004.1334324","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334324","url":null,"abstract":"This paper deals with handwritten word recognition using hidden Markov models (HMM) and presents a new solution to cope with problems of segmentation resulting from image preprocessing. This first step involves cutting an image of an isolated word into letters or pieces of letters called graphems. It builds a sequence of small images described by features which are the input of HMM. The image segmentation usually produces errors and lowers the results obtained by a recognition system based on a set of HMM models corresponding to the twenty-six letters of the alphabet. This paper proposes to extend the alphabet with models of couples of letters which are often badly segmented.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127596876","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
Selecting canonical views for view-based 3-D object recognition 为基于视图的三维物体识别选择规范视图
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334159
T. Denton, M. Demirci, J. Abrahamson, A. Shokoufandeh, Sven J. Dickinson
{"title":"Selecting canonical views for view-based 3-D object recognition","authors":"T. Denton, M. Demirci, J. Abrahamson, A. Shokoufandeh, Sven J. Dickinson","doi":"10.1109/ICPR.2004.1334159","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334159","url":null,"abstract":"Given a collection of sets of 2-D views of 3-D objects and a similarity measure between them, we present a method for summarizing the sets using a small subset called a bounded canonical set (BCS), whose members best represent the members of the original set. This means that members of the BCS are as dissimilar from each other as possible, while at the same time being as similar as possible to the nonBCS members. This paper would extend our earlier work on computing canonical sets [Denton, T, et al., June 2004] in several ways: by omitting the need for a multi-objective optimization, by allowing the imposition of cardinality constraints, and by introducing a total similarity function. We evaluate the applicability of BCS to view selection in a view-based object recognition environment.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132815197","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: 48
Tensor voting toward feature space analysis 面向特征空间分析的张量投票
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334566
Jia Wang, Hanqing Lu, Qingshan Liu
{"title":"Tensor voting toward feature space analysis","authors":"Jia Wang, Hanqing Lu, Qingshan Liu","doi":"10.1109/ICPR.2004.1334566","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334566","url":null,"abstract":"In this paper, a general technique is proposed for the analysis of multi-dimensional feature space. The basic computational module of the technique is the tensor voting theory, which was formerly used for structure inference from sparse data. We analyze the methodology of tensor voting systematically. Its relation to kernel density estimation and mean shift is also established, based on what the utilities for two fundamental analyses of feature space, density estimation and mode detection, are discussed. Algorithms for two low-level vision tasks, discontinuity preserving smoothing and motion layer inference, are described as applications of tensor voting. Several experimental results illustrate its excellent performance.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130816635","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
Local context in non-linear deformation models for handwritten character recognition 手写字符识别非线性变形模型中的局部上下文
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1333823
Daniel Keysers, C. Gollan, H. Ney
{"title":"Local context in non-linear deformation models for handwritten character recognition","authors":"Daniel Keysers, C. Gollan, H. Ney","doi":"10.1109/ICPR.2004.1333823","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1333823","url":null,"abstract":"We evaluate different two-dimensional non-linear deformation models for handwritten character recognition. Starting from a true two-dimensional model, we derive pseudo-two-dimensional and zero-order deformation models. Experiments show that it is most important to include suitable representations of the local image context of each pixel to increase performance. With these methods, we achieve very competitive results across five different tasks, in particular 0.5% error rate on the MNIST task.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131012456","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: 52
Structural description of textile and tile pattern designs using image processing 利用图像处理技术对纺织品和瓷砖图案进行结构描述
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1334175
J. Valiente, F. Albert, C. Carretero, J. Gomis
{"title":"Structural description of textile and tile pattern designs using image processing","authors":"J. Valiente, F. Albert, C. Carretero, J. Gomis","doi":"10.1109/ICPR.2004.1334175","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1334175","url":null,"abstract":"Cataloguing pattern and tiling designs using their geometrical features is an old research topic, whose main goal is the synthesis of new designs. However, little effort have been made to approach the inverse problem, this is the analysis of a design using image processing techniques. A set of structural descriptors for automatically classifying designs of textile and tile fabric is proposed. Graphic descriptors as parallelogram fundamental, design cluster, design symmetry axes etc., are properly re-defined in a new framework that, using the theory of symmetry groups, tries to describe the structure of a pattern design. We describe the sequence of operations introduced for the analysis and extraction of these structural descriptors and the methodology used in each stage, devoting special attention to the techniques used in the image segmentation, object extraction, and clustering stages. Experimental results with textile patrimony images and tile museum images are also included.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130737195","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: 18
Italic font recognition using stroke pattern analysis on wavelet decomposed word images 基于小波分解词图像的笔画模式分析的斜体字体识别
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1333902
Li Zhang, Yue Lu, C. Tan
{"title":"Italic font recognition using stroke pattern analysis on wavelet decomposed word images","authors":"Li Zhang, Yue Lu, C. Tan","doi":"10.1109/ICPR.2004.1333902","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1333902","url":null,"abstract":"This work describes an italic font recognition method using stroke pattern analysis on wavelet decomposed word images. The word images are extracted from scanned text documents containing word objects in various fonts and styles. Earlier font recognition methods mainly focus on slanted texture or pattern analysis on single character or large text blocks, which are sensitive to noise and subject to font and style variations such as size, serifness, boldness, etc. Our method takes advantage of 2-D wavelet decomposition on each word image and performs statistical analysis on stroke patterns obtained from wavelet decomposed sub-images. Experiments are carried out with 22,384 frequently used word images in both normal and italic styles of four different fonts. On average, a recognition accuracy of 95.76% for normal style and 96.49% for italic style is achieved. Experiments conducted on word images extracted from scanned documents with scattered italic words also show an encouraging result.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130935418","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: 22
Frame grouping measure for factorization-based projective reconstruction 基于分解的投影重建框架分组方法
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI: 10.1109/ICPR.2004.1333718
Yoon-Yong Jung, Yongho Hwang, H. Hong
{"title":"Frame grouping measure for factorization-based projective reconstruction","authors":"Yoon-Yong Jung, Yongho Hwang, H. Hong","doi":"10.1109/ICPR.2004.1333718","DOIUrl":"https://doi.org/10.1109/ICPR.2004.1333718","url":null,"abstract":"The factorization-based method generally suffers less from drift and error accumulation than the merging. However, the factorization method assumes that all correspondences must remain in all frames. In order to overcome the limitation, we present a new factorization-based projective reconstruction from un-calibrated image sequences. The proposed method breaks the full sequence into sub-sequences based on a quantitative measure considering the number of matching points between frames, the homography error, and the distribution of matching points in the image. All of projective reconstructions in sub-sequences are registered into the same coordinate frame for a complete description of the scene. Experimental results showed our algorithm could recover more precise 3D structure than the merging method.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132843658","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
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