{"title":"Structural principles in visually guided autonomous vehicles","authors":"W. Seelen, H. Janssen","doi":"10.1109/ICPR.1992.201563","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201563","url":null,"abstract":"Proposes a framework of a neural information processing architecture. The authors attempt to extract the basic principles and operations typical for neural information processing and describe a hierarchical extendible system for the problem of exploration and orientation in a natural environment as an example for an ill-posed and highly complex problem. Realisations of the main elements of this processing structure are discussed.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"35 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":"123963858","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":"Estimating the 3D rigid transformation between two range views of a complex object","authors":"R. Bergevin, D. Laurendeau, D. Poussart","doi":"10.1109/ICPR.1992.201604","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201604","url":null,"abstract":"Presents a method to compute the inter-frame transformation between two range image views of complex multi-part objects. No exact feature matching is attempted and no initial approximate transformation is provided. The method is naturally decomposed into two stages of initial estimation and final refinement of the transformation. A hierarchical triangulation-based surface representation provides an efficient way to select the control points at which the alignment of the two surfaces is to be evaluated. This representation also permits the selection of a manageable number of initial transformations among which at least one is to be in the parametric neighborhood of the actual transformation. Experimental results show that the computed transformation between two views of a complex multi-part object may provide angles of rotation within a fraction of a degree of the actual ones.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"37 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":"125068762","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":"Extracting nonrigid moving objects by temporal edges","authors":"S. Suzuki, J. Sklansky","doi":"10.1109/ICPR.1992.201510","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201510","url":null,"abstract":"Describes a method for extracting nonrigid moving objects. Every moving object may be approximated by a set of iso-intensity patches. The method finds the motions of these patches by integrating the locations and the intensities of temporal edges. Then, it finds the objects by finding clusters among the motions of the patches. The proposed method can extract many nonrigid objects on a complicated background. The performance of the proposed method was tested successfully on extracting pedestrians from a cinematic sequence viewing a street crossing.<<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":"131360450","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 knowledge based system for diagnosing spinal deformations: moire pattern analysis and interpretation","authors":"M. Batouche","doi":"10.1109/ICPR.1992.201631","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201631","url":null,"abstract":"For young people, spinal deformations are an evolving process which must be detected and treated as early as possible. The moire technique is quite simple, not expensive, not aggressive and well suited to the detection of spinal rotations. Therefore, a computer vision system for recognition of spinal deformations would be very useful for decision support. The authors present a knowledge-based system for diagnosing spinal deformations from human back moire image. To realize this computer system, the approach consists of extracting fringe contours from moire images using the infinite size symmetric exponential filter which is an optimal smoothing filter, then localizing some relevant elements such as the centers of shoulder-blades and the spinal column to make measurement which are crucial for the diagnosis process, and finally performing 3D reconstruction and diagnosis.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"123 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":"131461907","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":"Correspondence from color shading","authors":"H. Nguyen, P. Cohen","doi":"10.1109/ICPR.1992.201520","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201520","url":null,"abstract":"Presents a region-based matching algorithm, working on the color shading information (red, green and blue) contained in an image pair. In each color image, the regions are defined as connected areas within which the shading surface (i.e. the surface whose height at each location equals the color brightness in the image) maintains constant-sign Gaussian and mean curvatures. Region characteristics and adjacency information are explored by means of a region graph, in which each node corresponds to a particular region and is labeled with a vector of intraregional characteristics, while the arc joining two adjacent nodes is labeled with the relative position of the corresponding regions. The search for correspondences is restricted by means of a curvature consistency constraint, which states that matching regions must be embedded in areas of the shading surfaces having similar curvature characteristics. The disparity maps extracted from the R, G and B signals are combined at each resolution level of a coarse-to-fine strategy.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"20 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":"130079074","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 system of quality control of hybrid circuits by image analysis","authors":"K. Chehdi, M. Corazza","doi":"10.1109/ICPR.1992.201593","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201593","url":null,"abstract":"The authors present an image analysis system for hybrid circuit quality control. Circuit linkages must be correctly located, and the solder joints must be of adequate quality. The system is integrated into the production line, taking into account the time constraints. The circuits are intended for industrial purposes, for professional equipment and for the general public (telephony and telecommunications), where the requirements are severe. This system allows automatic quality control of electronic circuits.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"132 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":"121920284","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":"Message based control of parallel high level depth and intensity matching","authors":"W. J. Austin, A. Wallace","doi":"10.1109/ICPR.1992.201605","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201605","url":null,"abstract":"Considers dynamic message based control of cooperating depth and intensity algorithms to determine object identity and location in a multiple instruction multiple date (MIMD) environment. The authors describe message based cooperation between algorithms examining a single model and propose further levels of control which allow more complex systems to be built.<<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":"126671428","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":"Road line tracking: an approach based on spatio-temporal surface","authors":"C. Inglebert","doi":"10.1109/ICPR.1992.201546","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201546","url":null,"abstract":"The author presents a road line tracking based on the study of the spatio-temporal surface swept by the image curves. This method allows one to determine the angle between the camera axis and the road plane and therefore a more precise road reconstruction.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"6 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":"125457198","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}
Jean-Philippe Andreu, H. Borotschnig, Harald Ganster, L. Paletta, A. Pinz, M. Prantl
{"title":"Information fusion in image understanding","authors":"Jean-Philippe Andreu, H. Borotschnig, Harald Ganster, L. Paletta, A. Pinz, M. Prantl","doi":"10.1109/ICPR.1992.201577","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201577","url":null,"abstract":"Computer vision and image understanding processes are not very robust; small changes in exposure parameters or in internal parameters of algorithms can lead to significantly different results. A combination (fusion) of these results is profitable. The authors introduce an extended fusion concept dealing with different sources of information at external (world, scene, image) and internal (image description, scene description) levels and define the process of fusion. Each level requires its own procedure of quality measure and information fusion in order to yield a combination of components from several sources. Related work in the field is reviewed. Examples from the authors' own work cover remote sensing (improvement of classification results by fusion at the image level), medical image processing of ocular fundus images (automatic control point selection by fusion at the image description level) and the interpretation of Billard scenes (object identification by fusion at the scene description level).<<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":"126323051","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}
R. Safaee-Rad, I. Tchoukanov, B. Benhabib, Kenneth C. Smith
{"title":"3D-pose estimation from a quadratic-curved feature in two perspective views","authors":"R. Safaee-Rad, I. Tchoukanov, B. Benhabib, Kenneth C. Smith","doi":"10.1109/ICPR.1992.201571","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201571","url":null,"abstract":"Estimation of 3D information from 2D-image coordinates is a fundamental problem in both machine vision and computer vision. A closed-form analytical solution is presented to the problem of 3D-location estimation of quadratic-curved features based on two images. Compared to previous solution methods, the proposed method has the advantages that it is a closed-form solution method, it is mathematically simpler, and a priori knowledge of the size and shape of the feature is not required. The method is demonstrated for an elliptical feature, using a simulated experimental set-up.<<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":"129157976","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}