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[1990] Proceedings. 10th International Conference on Pattern Recognition最新文献

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Object recognition based on characteristic view classes 基于特征视图类的目标识别
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118056
R. Wang, H. Freeman
{"title":"Object recognition based on characteristic view classes","authors":"R. Wang, H. Freeman","doi":"10.1109/ICPR.1990.118056","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118056","url":null,"abstract":"A characteristic view (CV) class of a planar-faced solid (PFS) is a class of representative projection views of the solid such that all members of the class have isomorphic planar graph representation and can be related by a 3D geometric transformation. The viewing space of a PFS can be partitioned into regions called characteristic view domains (CVDs), such that a view of the PFS from any location within a region belongs to the same CV class and is different from all the CVs of the neighboring regions. The authors present a method of partitioning the viewing space into CVDs and finding the set of CV classes for a given PFS. Using the CV classes as the representation of the model object, they also present a method for model-based object recognition. Algorithms for representing, sorting, classifying, and graphically matching the CVs are given. All of these operations are needed in the object recognition method proposed.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116178546","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: 40
An effective regional descriptor and its application to target recognition 一种有效的区域描述符及其在目标识别中的应用
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118188
Chengke Wu, Xin-Ru Lu, Dongbuo Xiao, Yonghua Jiang
{"title":"An effective regional descriptor and its application to target recognition","authors":"Chengke Wu, Xin-Ru Lu, Dongbuo Xiao, Yonghua Jiang","doi":"10.1109/ICPR.1990.118188","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118188","url":null,"abstract":"A novel effective regional descriptor based on the normalized rapid descriptor (NRD) and regional projections is presented. The NRD is significantly superior to the normalized Fourier descriptor (NFD) in computational speed and storage requirement. The proposed descriptor was used for shape analytical experiments for several types of synthesized images. The descriptor was applied to the target recognition of four sequential images varying in size and orientation relative to the sensor. The results show that the descriptor is quite effective.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"159 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123078389","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
Object recognition using geometric hashing on the Connection Machine 在连接机上使用几何散列的对象识别
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119438
Olivier Bourdon, G. Medioni
{"title":"Object recognition using geometric hashing on the Connection Machine","authors":"Olivier Bourdon, G. Medioni","doi":"10.1109/ICPR.1990.119438","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119438","url":null,"abstract":"A parallel implementation of a system to recognize 2D objects under realistic scenarios (occlusion, rotation, translation, and perspective) is presented. A preprocessing phase and a recognition phase are used. Both phases have been implemented on the Connection Machine, achieving O(n/sup -x/) with n/sup x/ processors (x<or=4) for preprocessing and O(n/sup 2/) for recognition. The performance on the Connection Machine is compared with an implementation on a Sun 3/260.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123487326","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: 32
On surface curvature computation from level set contours 基于水平集轮廓的曲面曲率计算
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118081
H. Tanaka, Olivier Kling, D.T.L. Lee
{"title":"On surface curvature computation from level set contours","authors":"H. Tanaka, Olivier Kling, D.T.L. Lee","doi":"10.1109/ICPR.1990.118081","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118081","url":null,"abstract":"The authors consider the 3-D shape representation problem for a class of range image where the natural model of the acquired range data is in the form of level set contours (equidistance contours), as exemplified by a moire interferometry range system. They present a novel surface curvature computation scheme that directly computes the surface curvatures (the principal curvatures, Gaussian curvature, and mean curvature) from the equidistance contours without any explicit computations or implicit estimates of partial derivatives. They show how the special nature of the equidistance contours, specifically. the dense information of the surface curves in the 2-D contour plane, turns into an advantage for the computation of the surface curvatures. The approach is based on using simple geometric construction to obtain the surface normals, the normal sections, and the normal curvatures. This method is general and can be extended to any dense range image data. Computation results on both real and synthesized equidistance range contours are shown.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124925651","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: 10
Using surface model to correct and fit disparity data in stereo vision 利用曲面模型对立体视觉视差数据进行校正和拟合
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118065
W. Luo, H. Maître
{"title":"Using surface model to correct and fit disparity data in stereo vision","authors":"W. Luo, H. Maître","doi":"10.1109/ICPR.1990.118065","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118065","url":null,"abstract":"A method of stereo vision adapted to 3D reconstruction of urban scenes is presented. A generic geometric model for objects in the scene is assumed. Uniform intensity regions in the images are hypothesized to correspond to single surfaces in the scene. The hypothesis is either verified or refuted by testing whether matches in each region fit the model or not. Disparity errors are detected using a disparity gradient limit before interpolation. The method is tested on real images, and results are given.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122110295","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
Subpixel registration using a concentric ring fiducial 使用同心圆基准的亚像素配准
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119365
L. O'Gorman, A. Bruckstein, Chinmoy B. Bose, Israel Amir
{"title":"Subpixel registration using a concentric ring fiducial","authors":"L. O'Gorman, A. Bruckstein, Chinmoy B. Bose, Israel Amir","doi":"10.1109/ICPR.1990.119365","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119365","url":null,"abstract":"An examination of the effects of spatial sampling and image noise on the precision with which the centroids of different geometric shapes can be determined is presented. The concentric ring fiducial-a bull's-eye pattern-is identified as having desirable qualities of high location precision and rotational invariance. The performance of the concentric fiducial, as a function of diameter, number of rings. and ring spacing, has been tested, and these results are shown.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122456683","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
Handwritten zip code recognition with multilayer networks 手写邮政编码识别与多层网络
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119325
Yann LeCun, O. Matan, B. Boser, J. Denker, D. Henderson, R. Howard, W. Hubbard, L. D. Jacket, H. Baird
{"title":"Handwritten zip code recognition with multilayer networks","authors":"Yann LeCun, O. Matan, B. Boser, J. Denker, D. Henderson, R. Howard, W. Hubbard, L. D. Jacket, H. Baird","doi":"10.1109/ICPR.1990.119325","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119325","url":null,"abstract":"An application of back-propagation networks to handwritten zip code recognition is presented. Minimal preprocessing of the data is required, but the architecture of the network is highly constrained and specifically designed for the task. The input of the network consists of size-normalized images of isolated digits. The performance on zip code digits provided by the US Postal Service is 92% recognition, 1% substitution, and 7% rejects. Structured neural networks can be viewed as statistical methods with structure which bridge the gap between purely statistical and purely structural methods.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123857279","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: 213
A multiresolution approach to texture segmentation using neural networks 一种基于神经网络的多分辨率纹理分割方法
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118156
S. R. Yhann, T. Young
{"title":"A multiresolution approach to texture segmentation using neural networks","authors":"S. R. Yhann, T. Young","doi":"10.1109/ICPR.1990.118156","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118156","url":null,"abstract":"The authors introduce a texture segmentation algorithm that combines texture information at a low resolution level and local edge information at a high resolution to obtain an accurate segmentation. An entropy-based criterion for determining an optimum segmentation scale is proposed. A set of features consistent with the scaling model is described. It is used with a neural network to perform a low-resolution segmentation. Also described is a procedure for resolving the ambiguity in the boundary location resulting from the low-resolution segmentation process. This procedure makes use of a set of morphological filters and edges extracted at a higher resolution. The utility and accuracy of the method are demonstrated with a relatively complex example. The major limitation of the method is that the training time of the neural network classifier increases with the number of nodes in the network.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126176934","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
Nonlinear shape restoration by transformation models 基于变换模型的非线性形状恢复
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119321
Y. Tang, C. Suen
{"title":"Nonlinear shape restoration by transformation models","authors":"Y. Tang, C. Suen","doi":"10.1109/ICPR.1990.119321","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119321","url":null,"abstract":"An entropy-reduced transformation (ERT) approach to nonlinear shape restoration has been developed. Nonlinear shape distortions are formulated using nonlinear shape transformations derived from the finite-element theory. Several algorithms which perform the nonlinear shape transformations are given. The inverse nonlinear shape transformation algorithms are described. Some application experiments are described, and results are given.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126242356","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
Application of pattern recognition techniques in ultrasound tissue characterization 模式识别技术在超声组织表征中的应用
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118173
R. Momenan, M. Loew, M. Insana, R. F. Wagner, B. Garra
{"title":"Application of pattern recognition techniques in ultrasound tissue characterization","authors":"R. Momenan, M. Loew, M. Insana, R. F. Wagner, B. Garra","doi":"10.1109/ICPR.1990.118173","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118173","url":null,"abstract":"An approach for the application of multivariate pattern recognition techniques to detection of diffuse and focal disease using acoustic data is reviewed. Supervised and unsupervised techniques are implemented to design the best ultrasonic tissue signature for a given task from a set of measurements. The performances of both techniques are evaluated and compared using several methods. However, it is desirable to utilize a technique that quantitatively detects and displays the heterogeneity of an ultrasound image. It is shown that, for a particular task, choosing features with physical significance will make the classification of the data more robust. It is also shown that the success of combining supervised and unsupervised techniques using such features extends beyond discrimination of one class of data from the other and that the approach can be used to grade and the variations in the same tissue type.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125688695","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
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