{"title":"Description of the color image by using stable view points","authors":"Nanyuan Zhao, Z. Bian","doi":"10.1109/ICPR.1988.28359","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28359","url":null,"abstract":"A method is described for the color image description by using stable view points of an image obtained after Gaussian smoothing. The basic idea is to determine the view points and corresponding viewing fields at various levels from the color information and define the local image by using these points and fields so that the image matching can be realized. This approach may be developed into a generalized method for image recognition.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121857169","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}
{"title":"An accurate pitch detection algorithm","authors":"Y. Medan, E. Yair, D. Chazan","doi":"10.1109/ICPR.1988.28271","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28271","url":null,"abstract":"An accurate, robust, and reliable pitch detection scheme is outlined. The algorithm extracts the pitch with a very high resolution (i.e., as a real number) despite the finite (8-kHz) resolution of the sampled speech sequence. This makes it possible to analyze the pitch variation process in disarthric patients for medical purposes and to develop an accurate synchronous spectral analysis scheme. The computational complexity of the proposed algorithm is well below the capacity of modern digital signal processing technology and therefore can be implemented in real-time.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127693867","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}
Kazuhiko Yamamoto, K. Sakaue, H. Matsubara, K. Yamagishi
{"title":"MIRACLE-IV: multiple image recognition system aiming concept learning-intelligent vision","authors":"Kazuhiko Yamamoto, K. Sakaue, H. Matsubara, K. Yamagishi","doi":"10.1109/ICPR.1988.28369","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28369","url":null,"abstract":"MIRACLE-IV is discussed, which is capable of obtaining an internal structure of an object from a series of silhouette images with no initial explicit models about the object. The images are derived from only one object, but the form is varied. The system is composed of two subsystems: a model acquisition part (the modeler) and an image processing strategy part (the strategist). On the assumption that the object consists of hinges, slides, and solids, the modeler learns their number in the object and the relationship among them. The strategist binds the functional features as hinges or slides with visual features in the actual image data. The image processing sequence for the extraction of the visual feature is not given but is learned automatically through trial and error.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128069262","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}
{"title":"Calculation method of surface representation using B spline mask","authors":"Lou Meng, K. Cheng","doi":"10.1109/ICPR.1988.28227","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28227","url":null,"abstract":"A series of masks is derived on the basis of spline function theory and used to fit a 3-D object surface. The multiple-order derivative and curvature are also calculated. Results are compared with those given by other methods. It is found that the present fitting masks provide higher precision than that reported by other researchers and are somewhat better than the Gauss filter.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131927666","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}
{"title":"Observations of the choice of reconstruction matrix in magnetic resonance imaging","authors":"I. Young, A. S. Hall","doi":"10.1109/ICPR.1988.28468","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28468","url":null,"abstract":"A number of ways are mentioned in which the choice of imaging matrix can affect the performance of a machine in magnetic resonance imaging. It is observed that, contrary to most other techniques, there are sensitivity and detectability advantages, in some instances, in lower-resolution images which may not be obtainable in higher-resolution ones-although it is equally true that there are other circumstances where the reverse is true. Considerations of effects arising from field inhomogeneity, patient motion, and fluid flow are used to illustrate the argument.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131934425","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}
{"title":"Expert systems for image processing-knowledge-based composition of image analysis processes","authors":"T. Matsuyama","doi":"10.1109/ICPR.1988.28187","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28187","url":null,"abstract":"Expert systems for image processing are classified into four categories, and their objectives, knowledge representation, reasoning methods, and shortcomings are discussed. The categories are: (1) consultation systems for image processing; (2) knowledge-based program composition systems; (3) rule-based design systems for image segmentation algorithms; and (4) goal-directed image segmentation systems. The importance of choosing effective image analysis strategies is discussed. Two methods are proposed for characterizing image analysis strategies: one from a software engineering viewpoint and the other from a knowledge representation viewpoint. Several examples are given to demonstrate the effectiveness of these methods.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"47 48","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114058191","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}
{"title":"Schistosome egg recognition using the top-down search strategy","authors":"Shu-Xiang Li, Jian-Ping Liu, Yi-Min Huang","doi":"10.1109/ICPR.1988.28363","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28363","url":null,"abstract":"A practical implementation of the top-down search strategy has been introduced with its application in schistosome egg recognition from microscope images. The top-down search is implemented by a hierarchy, from the coarse search for a sign of the existence of the object to the fine examination of the texture of the object. The upper levels of the hierarchy (the high-level vision part) are discussed to demonstrate the strategy of top-down recognition. The approach has been used in clinical applications in two hospitals in China.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114696299","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}
{"title":"2D-3D pose estimation","authors":"R. Haralick, H. Joo","doi":"10.1109/ICPR.1988.28250","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28250","url":null,"abstract":"A robust technique is described for solving the 3D-to-2D perspective projection pose estimation problem, given corresponding point sets. The technique has a considerable advantage over the least-squares (LS) technique in that with as many as 30% of the corresponding point pair matches completely incorrect the robust technique can determine the correct pose almost as accurately as the LS technique would if the LS technique were given only the correctly matched point pairs. The results of several hundred thousand experiments are reported that support the above conclusion.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124444587","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}
{"title":"The estimation of error bounds and feature selection in large character set recognition","authors":"Xiao Huang, Yuo-Shou Wu, Xiaoqing Ding","doi":"10.1109/ICPR.1988.28482","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28482","url":null,"abstract":"Based on the reduction of entropy, the analysis of the estimation of error bounds is discussed. This estimation is simple in computation and is associated with a scatter matrix of classes. For the case of a large character set, a novel definition of separability of classes is proposed. It is simple in computation and can be used to evaluate error bounds and to choose a subset of features with minimum loss of information.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121710680","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}
{"title":"Analysing Hough nets for recognition of polyhedra-like objects","authors":"F. Wahl","doi":"10.1109/ICPR.1988.28289","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28289","url":null,"abstract":"It is shown how structural information from Hough space representations of 2-D images from 3-D scenes can be derived and used to match polyhedra-like objects topologically to 3-D wire-frame models. The matching is performed by an attributed subgraph isomorphism detection algorithm. A subsequent algorithm match can be used to verify the topological match, yielding simultaneously pose information. Simulation results show the method to be a practicable approach for 3-D object recognition.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122138617","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}