{"title":"Fast shape detection using Hough transform by raster operation","authors":"K. Kamei, Y. Nakamura, S. Abe","doi":"10.1109/ICPR.1988.28455","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28455","url":null,"abstract":"To detect arbitrary shapes on a binary image quickly, a method is developed for performing the principle of the Hough transform by means of the raster operation (bitblt) hardware, with which a workstation is equipped. The Boolean operations among bitmaps of images are used to search candidate patterns corresponding to a given shape. Using the bitblt hardware, those operations can be carried out rapidly. The method is applicable not only for shape recognition but also line detection.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"2 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":"129008852","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":"Rectification of images for binocular and trinocular stereovision","authors":"N. Ayache, Charles D. Hansen","doi":"10.1109/ICPR.1988.28160","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28160","url":null,"abstract":"A technique is presented for calibrating and rectifying in a very efficient and simple manner pairs or triplets of images taken for binocular or trinocular stereovision systems. After the rectification of images, epipolar lines are parallel to the axes of the image coordinate frames. Therefore, potential matches between two or three images satisfy simpler relations, allowing for simpler and more efficient matching algorithms. Experimental results obtained with a binocular and a trinocular stereovision system are presented, and a complexity analysis is provided.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"1 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":"128735939","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":"A syntactic approach for building a knowledge-based pattern recognition system","authors":"G. Yang","doi":"10.1109/ICPR.1988.28480","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28480","url":null,"abstract":"The inherent link is discussed between the syntactic pattern recognition system and a type of expert system, and it is shown that syntactic approach itself has basic characteristics of this type of expert system. In some ways, the syntactic recognition system has advantages over these expert systems, and many functions of expert system can be realized in the syntactic recognition system. It is concluded that with some improvements to the syntactic recognition system a knowledge-based pattern recognition system can be built. An example of application of the syntactic system is also given.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"143 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":"128768460","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":"Online handwriting recognition-a survey","authors":"C. Tappert, C. Suen, T. Wakahara","doi":"10.1109/ICPR.1988.28459","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28459","url":null,"abstract":"The state of the art of online handwriting recognition is surveyed based on an extensive review of the literature. Shape recognition algorithms, preprocessing and postprocessing techniques, experimental systems, and commercial products are examined. It is found that online recognizers, except for bar-code readers and other specialized equipment, are not applicable to machine-printed characters.<<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":"129273423","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":"Knowledge based ISOETRP clustering procedure","authors":"Z. Qiwen, Q. Wang","doi":"10.1109/ICPR.1988.28479","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28479","url":null,"abstract":"A three-stage knowledge-acquisition strategy for knowledge-based pattern recognition (PR) problem solving has been proposed. The strategy consists of building an interactive work system, knowledge accumulation in a long period interaction between the human operator (system builder) and the computer, and replacement of the human operator by the accumulated knowledge. This strategy has been successfully applied to the development of the knowledge based version of ISOETRP clustering procedure. This practice shows that this three-stage strategy can work well in many PR applications.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"4 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":"115925545","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":"Description of signature images and its application to their classification","authors":"M. Ammar, Y. Yoshida, T. Fukumura","doi":"10.1109/ICPR.1988.28163","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28163","url":null,"abstract":"A method for signature description based on the human way of recognizing objects is introduced. Like humans, this method first recognizes objects globally and then recognizes finer details. The description is hierarchical: the signature is at the top level, and each lower level gives more details about the higher one. Features are extracted in a relative way (e.g. the length is measured by its ratio to the width) to make the method insensitive to the natural variations that occur in genuine signatures, and are mapped into a conceptual description. This conceptual description is then used to classify the signature images.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"8 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":"116683303","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}
H. Mori, H. Ishiguro, S. Kotani, S. Yasutomi, Y. Chino
{"title":"A mobile robot strategy applied to Harunobu-4","authors":"H. Mori, H. Ishiguro, S. Kotani, S. Yasutomi, Y. Chino","doi":"10.1109/ICPR.1988.28283","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28283","url":null,"abstract":"A mobile robot strategy called stereo-typed motion by sign pattern, drawn from a study of lower animals is applied to the mobile robot Harunobu. A stereotyped motion is specified by a fixed action pattern which always appears when the robot encounters a certain situation. The motion classified into two groups; vision-based motion and sensor-based motion. The former consists of moving-along, moving-toward, turning-corner and avoiding-obstacle. A sign pattern is specified by a part of an object that initiates and guides the stereotyped motion. The latter consists of run-over-stop motion and several collision-avoiding motions initiated by bumper switches or ultrasonic sensors. To deal with error status in vision-based motion such as no-passage-found or sign-pattern-missing, several error recovery motions are specified.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"38 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":"117229797","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":"Discriminant analysis and perceptual test of French stops and nasals","authors":"S. Kitazawa, J. Tubach","doi":"10.1109/ICPR.1988.28445","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28445","url":null,"abstract":"French stop and nasal consonants are, shown through statistical analysis, to be recognizable by machine using features of spectrum adjacent to the stop burst or the release under speaker- and vowel-independent conditions. The fact that human perception can recognize most syllables which are misclassified by machine suggests that the acoustic processing of speech signals can be improved for more precise pattern recognition.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"18 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":"114267650","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":"Towards autonomous convoy driving: recognizing the starting vehicle in front","authors":"R. Kories, N. Rehfeld, G. Zimmermann","doi":"10.1109/ICPR.1988.28284","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28284","url":null,"abstract":"The problem of automatically detecting a leading vehicle in the process of starting off and deriving a model for further tracking is addressed. Very little knowledge about the appearance of the vehicle is utilized. Motion information is the main cue for selecting image structures belonging to the leading vehicle. An edge model is derived from two independent, complementary motion-estimation processes that cross-validate each other. The suitability of the aggregated model for recognition and the precision of the motion estimation process are demonstrated by means of an image sequence consisting of 130 TV images.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"14 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":"114240411","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":"ICC statistic as criterion for classification and feature selection","authors":"K. Selkainaho, J. Pakkinen","doi":"10.1109/ICPR.1988.28335","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28335","url":null,"abstract":"A statistical method is suggested for data classification using the interclass correlation coefficient (ICC) statistics as a criterion function. The theory of the statistics is represented and its characteristics has been investigated. An algorithm for data classification using ICC is also described.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"5 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":"126800140","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}