{"title":"Computing perceptual organization using voting methods and graphical enumeration","authors":"Sudeep Sarkar, K. Boyer","doi":"10.1109/ICPR.1992.201554","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201554","url":null,"abstract":"Presents an efficient hierarchical computational paradigm for perceptual organization. Organization at each level of the hierarchy is done by graph enumeration on a set of Gestalt graphs. Efficient voting methods are proposed. The authors develop the method in detail and analyze its computational efficiency, considering both time and space. The theoretical and practical results are very encouraging. They strongly advocate the idea of an organizational hierarchy, constructed using graph enumeration. Graph theoretic representations enable one to extract various structures with considerable ease. They evaluated the performance using real images, with good results.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"16 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":"129868059","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":"Projective duality and recovery of 3D straight lines from a monocular image sequence","authors":"Y. Zhang, B. Dubuisson","doi":"10.1109/ICPR.1992.201572","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201572","url":null,"abstract":"The deduction of structure from motion using projective geometry is considered. It is shown that, linear camera motion, 2D feature matching and 3D feature recovery can be performed by a Hough transform scheme. Some experimental results on synthesized and real image sequences are illustrated.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"22 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":"121404383","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":"Object locating based on concentric circular description","authors":"N. Kita","doi":"10.1109/ICPR.1992.201642","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201642","url":null,"abstract":"The authors propose a simple method for locating a 3D object from a single 2D image. Aiming at rough and speedy location of a target object, the method simply checks shape similarity between observed regions and possible appearances of the target. To reduce the number of the appearances necessary for representing an object, the authors develop a 2D shape description, called concentric circular description, which is insensitive to viewpoint changes while keeping a sensitivity to 3D shape difference. The method is applied to some real images of a cluttered desk scene.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"10 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":"122476828","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":"Arrangement: a spatial relation for describing and comparing part embeddings","authors":"H. Tagare, C. Jaffe, J. Duncan","doi":"10.1109/ICPR.1992.201515","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201515","url":null,"abstract":"A qualitative spatial relation called 'arrangement' is proposed. Given an image, the relation describes the sequence in which neighbors of each part are situated around it. The relation captures a perceptual gestalt of the image. An application of the relation to similarity retrieval in medical image databases is discussed. 'Arrangement' is closely related to directional relations and extends the notion of directional relations to parts that have complex shapes. A metric for comparing 'arrangements' is also proposed. The metric is obtained by interpreting 'arrangements' in terms of Voronoi diagrams. The metric enables robust use of the relation in real-world situations.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"165 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":"122558765","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":"On chain code probabilities and length estimators for digitized three dimensional curves","authors":"N. Kiryati, O. Kübler","doi":"10.1109/ICPR.1992.201553","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201553","url":null,"abstract":"Length estimation of three dimensional digitized curves is considered. The three dimensional chain code representation is assumed. It is shown that previously suggested length estimators are biased, and alternative simple estimators that possess desired optimality properties are developed. To support optimal design of three dimensional length estimators, useful statistical properties of three dimensional chain encoded digital straight lines are derived. Although this paper focuses on simple estimators, the suggested approach can be used to design more complicated three dimensional length estimators.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"50 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":"127433311","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":"Detecting relative motion in moving point patterns","authors":"I. Sethi, Y. Chung","doi":"10.1109/ICPR.1992.201656","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201656","url":null,"abstract":"Relative motion carries valuable information for motion understanding and form perception. The authors present a scheme for detecting relative motion in image sequences of moving point patterns. The proposed scheme uses the complexity of image plane trajectories to determine the presence of relative motion. Experimental results for two moving point pattern sequences are presented to demonstrate the proposed approach.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"119 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":"125158722","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":"Automatic visual inspection of wood surfaces","authors":"Pertti Alapuranen, T. Westman","doi":"10.1109/ICPR.1992.201578","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201578","url":null,"abstract":"A prototype software system for visual inspection of wood defects has been developed. The system uses a hierarchical vector connected components (HVCC) segmentation which can be described as a multistage region-growing type of segmentation. The HVCC version used in experiments uses RGB color vector differences and Euclidean metrics. The HVCC segmentation seems to be very suitable for wood surface image segmentation. Geometrical, color and structural features are used in classification. Possible defects are classified using combined tree-kNN classifier and pure kNN-classifier. The system has been tested using plywood boards. Preliminary classification accuracy is 85-90% depending on the type of defect.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"23 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":"122244117","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":"Caption-aided face location in newspaper photographs","authors":"Venu Govindaraju, S. Srihari, D. Sher","doi":"10.1109/ICPR.1992.201603","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201603","url":null,"abstract":"The human face is an object that is easily located in complex scenes by humans and adults alike. Yet the development of an automated system to perform this task is extremely challenging. This paper is about developing computational procedures to locate human faces in newspaper photographs where scenes are often cluttered making object location non-trivial. On the other hand, the task is made feasible by constraints which follow naturally from rules in photo-journalism. Faces identified by the caption are clearly depicted without occlusion and contrast against the background and sizes of faces fall within a fixed range depending on the dimensions of the photograph and the number of people featuring in it.<<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":"127240313","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":"Perceptual grouping using global saliency-enhancing operators","authors":"G. Guy, G. Medioni","doi":"10.1109/ICPR.1992.201517","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201517","url":null,"abstract":"Introduces saliency-enhancing operators capable of highlighting features which are considered perceptually relevant. One is able to extract salient curves and junctions and generate a description ranking these features by their likelihood of coming from the original scene. The authors suggest the global extension field as means of describing the behavior of a curve segment, in terms of its continuation. It is shown that a directional convolution of an edge image with the above field can produce useful descriptions. Other fields are also used in the same manner to produce similar results for domain-specific applications. The scheme is particularly useful and robust as a gap filler and in the presence of noise.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"1 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":"130352669","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":"Artificial intelligence in vision","authors":"N. Ruocco, A. Vitale, S. Vitulano","doi":"10.1109/ICPR.1992.201598","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201598","url":null,"abstract":"Shows a model of visual perception particularly suitable to realize the segmentation of the pictorial scene. The model uses AI methods and in particular problem solving. The first module of the model has the task for making the regions emerge (their contours); it provides topological information about these regions. The second module associates each region with the structure organizing the pixels contained in it.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"2009 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":"125643505","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}