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Proceedings of 12th International Conference on Pattern Recognition最新文献

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Integral and local affine invariant parameter and application to shape recognition 积分和局部仿射不变参数及其在形状识别中的应用
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576250
Thierry Cohignac, C. Lopez, J. Morel
{"title":"Integral and local affine invariant parameter and application to shape recognition","authors":"Thierry Cohignac, C. Lopez, J. Morel","doi":"10.1109/ICPR.1994.576250","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576250","url":null,"abstract":"The existence of affine invariant scale spaces for shapes opens possibilities for shape recognition. While affine invariant shape recognition is easily performed when shapes are complete, partially occluded or incomplete shapes must be recognized by dividing them into intrinsic parts. The characteristic point method, for instance, focuses on configurations of points with maximal curvature of the shape (in an euclidian invariant framework). Using the affine invariant scale space, we define affine invariant characteristic points and affine invariant parts of a shape. We prove that compatibility scale relations make feasible the matching of scale spaces and show experiments with noisy affine distorted and occluded shapes.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124154326","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: 43
Camera parameter determination from a single view of a general planar calibration object 从一般平面标定对象的单一视图确定相机参数
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576264
Chao-Ming Wang, Zen Chen
{"title":"Camera parameter determination from a single view of a general planar calibration object","authors":"Chao-Ming Wang, Zen Chen","doi":"10.1109/ICPR.1994.576264","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576264","url":null,"abstract":"A new approach to camera parameter estimation based on a single perspective view of a general planar calibration object is proposed. For the first time, the authors present an analytical approximation model for the perspective projection under some mild conditions. With this approximation model, the authors can decouple and estimate the six camera parameters. The authors also derive some important mathematical relations between a reference view and its corresponding sensed view, and then develop the simple and fast procedures to estimate the decoupled camera parameters one by one. Experimental results show that the authors' approach works quite well.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124364529","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
Multiresolution motion segmentation 多分辨率运动分割
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576303
M. Petrou, M. Bober, J. Kittler
{"title":"Multiresolution motion segmentation","authors":"M. Petrou, M. Bober, J. Kittler","doi":"10.1109/ICPR.1994.576303","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576303","url":null,"abstract":"This paper shows the application of a very efficient multiresolution transformation which is related to the renormalization group approach of physics, to the problem of motion segmentation. The proposed approach is much faster and yields much better results than the full resolution approach.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123637633","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: 9
Automatic reading of analog display instruments 模拟显示仪表自动读数
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576447
Robert Sablatnig, W. Kropatsch
{"title":"Automatic reading of analog display instruments","authors":"Robert Sablatnig, W. Kropatsch","doi":"10.1109/ICPR.1994.576447","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576447","url":null,"abstract":"A general design strategy based on experiences of a successful application project concerning the reading of analog devices in order to automate the reading process is presented. The problem space is defined and a description language is introduced which controls the interpretation of specific types of instruments and decouples recognition of primitiva and formation of an aspired result. Furthermore, the interaction between Hough transform or line detection, the user-controlled computation of the measurement and the extension to other measuring instruments is described.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122492649","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: 37
Interactive analysis of multi-spectral images using a Hilbert curve 使用希尔伯特曲线的多光谱图像交互分析
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576234
S. Kamata, M. Niimi, E. Kawaguchi
{"title":"Interactive analysis of multi-spectral images using a Hilbert curve","authors":"S. Kamata, M. Niimi, E. Kawaguchi","doi":"10.1109/ICPR.1994.576234","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576234","url":null,"abstract":"There have been many new developments in interactive analysis for multi-spectral images in the research of remote sensing. In general, the methods used are linear transformations such as principal component analysis. In this paper, the authors present a new interactive method for classifying multi-spectral images using a Hilbert curve which is a one-to-one mapping and preserves the neighborhood as much as possible. This method is based on a hierarchical histogram expression with different resolutions for the mapped one-dimensional data. The classification on this expression can be performed easily instead of using N-dimensional data directly. In order to realize the real time response from the system, the authors make use of data tables storing the addresses and the occurrences of data, etc. Here the address is defined by using the coordinates in N-dimensional space, and is made use of dealing with a part of mapping which can not preserve the neighborhood. In the experiments using LANDSAT image data, it is confirmed that the user can get the real time response from the system after once making the data tables.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121558927","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
Foreign object detection via texture analysis 通过纹理分析检测异物
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576367
D. Patel, I. Hannah, E. R. Davies
{"title":"Foreign object detection via texture analysis","authors":"D. Patel, I. Hannah, E. R. Davies","doi":"10.1109/ICPR.1994.576367","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576367","url":null,"abstract":"This paper describes a monitoring system which detects contaminants such as pieces of stone or fragments of glass in food stuffs. The X-ray images of the food stuffs are irregular and highly textured and are thus analysed using an artificial neural network technique for texture recognition. The advantage over the existing methods of inspection is that they achieve a greater capability of reliably locating the contaminants. This paper will show that neural nets comprised of a few nodes can be successfully used in the real-world for industrial applications.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121681331","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
A cooperative integration of stereopsis and optic flow computation 立体视觉与光流计算的协同集成
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576297
G. Sudhir, Subhashis Banerjee, K. K. Biswas, R. Bahl
{"title":"A cooperative integration of stereopsis and optic flow computation","authors":"G. Sudhir, Subhashis Banerjee, K. K. Biswas, R. Bahl","doi":"10.1109/ICPR.1994.576297","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576297","url":null,"abstract":"A cooperative integration of stereopsis and optic flow computation is presented. Central to our approach is the modelling of the visual processes as a sequence of coupled Markov random fields by defining suitable interprocess interactions based on some natural constraints. The integration makes each of the individual processes better constrained and more reliable. Further, as a result of the integration, it becomes possible to accurately preserve the discontinuities in both the flow and the disparity fields along with the regions of stereo occlusion. Some results, both on noisy synthetic image data and real images are presented.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121744349","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: 19
Non rigid registration for building 3D anatomical atlases 用于建立三维解剖地图集的非刚性注册
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576364
G. Subsol, J. Thirion, N. Ayache
{"title":"Non rigid registration for building 3D anatomical atlases","authors":"G. Subsol, J. Thirion, N. Ayache","doi":"10.1109/ICPR.1994.576364","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576364","url":null,"abstract":"Presents a general scheme for the building of anatomical atlases. The authors propose to use specific and stable features, the \"crest lines\" or ridge lines which are automatically extracted from 3D images by differential geometry operators. The authors have developed nonrigid registration techniques and got encouraging results for the building of a first atlas of the crest lines of the skull based on several CT-scan images of different patients.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122159176","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: 11
Intrusion detection using extraction of moving edges 利用移动边缘提取入侵检测
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576450
A. Makarov, J. Vesin, M. Kunt
{"title":"Intrusion detection using extraction of moving edges","authors":"A. Makarov, J. Vesin, M. Kunt","doi":"10.1109/ICPR.1994.576450","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576450","url":null,"abstract":"In this article we present an image processing based method for intrusion detection. The algorithm is characterized by a low computational cost, a high sensitivity to the presence of objects, robustness to illumination changes and modest memory requirements. The suggested approach is to separate the moving object edges from the background.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123185158","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: 27
A general parameter updating approach to image classification 一种通用的图像分类参数更新方法
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576417
Hongtao Jiang, E. Bølviken
{"title":"A general parameter updating approach to image classification","authors":"Hongtao Jiang, E. Bølviken","doi":"10.1109/ICPR.1994.576417","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576417","url":null,"abstract":"This paper presents an EM approach to parameter updating in supervised image classification based on the maximum aposteriori (MAP) estimation. By specifying suitable prior distribution in the form of constraint on the differences between class mean vectors, the new algorithm generally gives better estimates of the class means than the maximum likelihood-EM algorithm, as shown by results with MR images of human brain.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130556523","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
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