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[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition最新文献

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Attribute grammar for shape recognition and its VLSI implementation 形状识别的属性语法及其VLSI实现
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201518
Heng-Da Cheng, X. Cheng
{"title":"Attribute grammar for shape recognition and its VLSI implementation","authors":"Heng-Da Cheng, X. Cheng","doi":"10.1109/ICPR.1992.201518","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201518","url":null,"abstract":"Shape recognition has wide applications in many fields. An attribute grammar approach to shape recognition combines both advantages of syntactic and statistical methods and makes shape recognition more accurate and efficient. However, the time complexity of a sequential shape recognition algorithm using attribute grammar is O(n/sup 3/) where n is the length of an input string. The paper presents a parallel shape recognition algorithm and its implementation on a fixed-size VLSI architecture. The proposed algorithm has time complexity O(n/sup 3//k/sup 2/). Experiments have also been conducted to verify the performance of the proposed algorithm. The proposed algorithm and architecture could be very useful for image processing, pattern recognition and related areas.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123142628","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
Surface reconstruction from derivatives 由导数重建曲面
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201583
R. Bronstein, M. Werman, Shmuel Peleg
{"title":"Surface reconstruction from derivatives","authors":"R. Bronstein, M. Werman, Shmuel Peleg","doi":"10.1109/ICPR.1992.201583","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201583","url":null,"abstract":"Most methods to reconstruct surfaces from their derivatives assume two orthogonal derivatives in perfect registration. The authors propose an approach to use derivatives in arbitrary directions and to register orthogonal derivatives if they are not registered. They also develop a method to integrate second derivatives in the reconstruction.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"17 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113967815","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 computational vision approach to image registration 一种图像配准的计算视觉方法
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201539
Q. Zheng, R. Chellappa
{"title":"A computational vision approach to image registration","authors":"Q. Zheng, R. Chellappa","doi":"10.1109/ICPR.1992.201539","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201539","url":null,"abstract":"Automatic image registration is important for many multiframe-based image analysis applications. In this paper, a computational vision approach is presented for the estimation of 2-D translation, rotation, and scale from two partially overlapping images. The approach has the following features: (1) an illuminant direction estimator is used to obtain an initial estimate of camera rotation; (2) feature points are located based on a Gabor wavelet model for detecting local curvature discontinuities; (3) estimation of rotation and translation is formulated as a linear problem; and (4) hierarchical coarse-to-fine matching is used. This results in a fast and novel algorithm that produces good results even when large rotations and scale changes have occurred between the two frames and the images are devoid of significant features. Several applications of the algorithm are presented.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124491948","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: 266
Recognizing moving objects from orthographic views 从正射视图中识别移动物体
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201522
H. Kamada, Hideki Yanagishita, M. Shiohara
{"title":"Recognizing moving objects from orthographic views","authors":"H. Kamada, Hideki Yanagishita, M. Shiohara","doi":"10.1109/ICPR.1992.201522","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201522","url":null,"abstract":"Develops algorithms to recognize moving rigid objects from orthographic views using point correspondence. The existence of a unique solution can be determined using orthographic views alone. The authors also developed unified linear algorithms to recognize moving objects. They propose new algorithms to recognize general objects using 4-point correspondence over 3 views, and to recognize objects on a plane using fewer correspondences.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115827640","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
Using differential geometry in R/sup 4/ to extract typical features in 3D density images 利用R/sup 4/中的微分几何提取三维密度图像中的典型特征
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201580
O. Monga, S. Benayoun
{"title":"Using differential geometry in R/sup 4/ to extract typical features in 3D density images","authors":"O. Monga, S. Benayoun","doi":"10.1109/ICPR.1992.201580","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201580","url":null,"abstract":"3D edge detection in voxel images provides points corresponding to the surfaces forming the 3D structure. The next stage is to characterize the local geometry of these surfaces in order to extract points or lines on which registration and tracking procedures can rely. To avoid the need to find links between 3D edge detection and local surface approximation, the authors propose a method involving computing the curvatures on the edge points from the second partial derivatives of the image. The 3D image is treated as a hypersurface (a 3D dimensional manifold) in R/sup 4/. Relationships are established between the curvatures of the hypersurface and the curvatures of the surface traced by the edge points. The maximum curvature at a point of the hypersurface is expressed with the second partial derivatives of the 3D image. These curvatures can also be directly computed in R/sup 3/ using a realistic assumption, but it may be more efficient to smooth the data in R/sup 4/. For instance, in the case where the contours are not iso-contours (i.e. the gradient at an edge point does not approximate the normal to the surface) the only differential invariants of the image are in R/sup 4/. This approach could also be used to detect corners or vertices. Experimental results are presented.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132200424","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 knowledge-based system for satellite image interpretation 基于知识的卫星图像解译系统
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201540
J. Desachy
{"title":"A knowledge-based system for satellite image interpretation","authors":"J. Desachy","doi":"10.1109/ICPR.1992.201540","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201540","url":null,"abstract":"The aim of ICARE system (image cartography expert) may be understood as rectifying misclassifications of usual classifiers which are known to give poor results for satellite imagery. An interesting repercussion of this system is its ability to solve problems where utilized data for reasoning is stored in a geographic information system and which solution may be expressed by mean of a priority map. It works in a two step process consisting of a first one of usual classification followed by a second one consisting in previous classification improvement. The authors have chosen this approach because it permits one to integrate in a flexible way expert knowledge and know-how in satellite image interpretation.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134436440","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
3D CAD-based inspection. I. Coarse verification 基于3D cad的检测。1 .粗略验证
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201505
Timothy S Newman, Anil K. Jain, H. Keshavan
{"title":"3D CAD-based inspection. I. Coarse verification","authors":"Timothy S Newman, Anil K. Jain, H. Keshavan","doi":"10.1109/ICPR.1992.201505","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201505","url":null,"abstract":"Presents an efficient scheme for CAD-based inspection of objects in range imagery. A template-matching technique is used to compare a random set of surface points from the object model to the sensed object. Several matching statistics are proposed and examined for verification suitability. The authors propose this technique as the first step for coarse verification of an assembled object whose pose and identity are known.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134437802","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
An image analysis based method to evaluate gravure paper quality 基于图像分析的凹版纸质量评价方法
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201675
A. Langinmaa
{"title":"An image analysis based method to evaluate gravure paper quality","authors":"A. Langinmaa","doi":"10.1109/ICPR.1992.201675","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201675","url":null,"abstract":"A method has been developed to find the so-called missing dots in a heliotest strip. Heliotest is a test print method which is used to determine the quality of gravure print paper. The method developed is based on image processing and supervised learning, requiring a 386-based MS/DOS computer, a commercial image processing board and software, a commercial co-ordinate table, a CCD camera, and lighting equipment. The method is now at the prototype stage.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128921140","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 generalisation of renormalisation group methods for multiresolution image analysis 多分辨率图像分析重整化群方法的推广
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201625
G. Nicholls, M. Petrou
{"title":"A generalisation of renormalisation group methods for multiresolution image analysis","authors":"G. Nicholls, M. Petrou","doi":"10.1109/ICPR.1992.201625","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201625","url":null,"abstract":"The application of multigrid methods to accelerating the minimisation of a nonconvex Gibbs potential requires that Gibbs parameters (GP's) be chosen at each level of coarsening in such a way that the long-range conditional probabilities of the associated 2D Markov random field are unchanged by coarsening. Formulae specifying how GP's transform from fine to coarse resolution exist for a restricted set of computationaly tractable cost functions and, while numerical routines solve the problem in principle, they are hopelessly slow for that class of spatially inhomogeneous GP's (site parameters) which depend on the image data. The authors provide a general theorem which specifies how site parameters coarsen for deterministic linear block coarsening. The theorem can be used to accelerate the annealing of realistic image models.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133658023","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: 5
Estimating motion of constant acceleration from image sequences 从图像序列估计匀速运动
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition Pub Date : 1992-08-30 DOI: 10.1109/ICPR.1992.201646
Xiaoping Hu, N. Ahuja
{"title":"Estimating motion of constant acceleration from image sequences","authors":"Xiaoping Hu, N. Ahuja","doi":"10.1109/ICPR.1992.201646","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201646","url":null,"abstract":"Presents a model-based algorithm for estimating motion from monocular image sequences. The authors first present a two-view motion algorithm and then extend it to multiple views. The two-view algorithm requires generally 6 pairs of point correspondences to give unique solution of the motion parameters. However, when the used points lie on a Maybank quadric, the algorithm requires 7 pairs of point correspondences to give double solutions. Object-centered motion representations and a motion model of constant acceleration are used to estimate motion parameters from long image sequences. The algorithm guarantees globally optimal solution. Since the algorithm does not involve structure parameters, it contains the least number of unknowns and is hence more efficient and robust than the existing ones. Experimental results with real image data are presented. The same method can be applied to solve for motions described by second or higher orders of polynomials.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127308802","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: 5
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