{"title":"Recovery of superquadric primitives from a range image using simulated annealing","authors":"N. Yokoya, M. Kaneta, K. Yamamoto","doi":"10.1109/ICPR.1992.201533","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201533","url":null,"abstract":"Describes a method for recovering volumetric shape descriptions of 3D objects from range data. The models of shape primitives are superquadrics with a global deformation of tapering. The authors first define a new error-of-fit measure for fitting superquadrics to range data. The measure evaluates the difference in both depth and surface orientation between input 3D data and the model surfaces. Simulated annealing is then employed for finding a global minimum of the error-of-fit over all possible values of model parameters including translation, rotation and tapering.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"38 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":"131661151","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":"Transformation independent recognition of 2-D industrial parts","authors":"Wei Wen, Andrei Lozzi","doi":"10.1109/ICPR.1992.201652","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201652","url":null,"abstract":"A model-based object analysis method using polygonal representation of the boundary for the recognition of imperfect and possibly occluded 2-D industrial parts is described. The means of recognition leads reliably to the correct association of the subshapes making up the unknown object to those of the model. The scale factor between the object and the model is successfully estimated using a Hough transform like method even when the object is flawed or partially occluded. An example is given to illustrate the method.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"29 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":"127516554","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":"Large scale stereo vision","authors":"H. Takahashi, F. Tomita","doi":"10.1109/ICPR.1992.201640","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201640","url":null,"abstract":"It is difficult to obtain sufficient accuracy in view of the outdoor environment to perform 3D stereo measurement. The authors propose a method which involves moving a single camera and prolonging the base line, then measuring the motion parameters of the camera by image correspondence. Primitives are used as units of correspondence to make the matching stable. This paper presents the method and some experimental results.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"30 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":"114868269","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":"Automated inspection of machine parts","authors":"B. Modayur, L. Shapiro","doi":"10.1109/ICPR.1992.201507","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201507","url":null,"abstract":"Describes a CAD-model-based machine vision system for dimensional inspection of machined parts, with emphasis on the theory behind the system. The original contributions of the work are: the use of precise definitions of geometric tolerances suitable for use in image processing, the development of measurement algorithms corresponding directly to these definitions; the derivation of the uncertainties in the measurement tasks; and the use of this uncertainty information in the decision-making process. Experimental results have verified the uncertainty derivations statistically and proved that the error probabilities obtained by propagating uncertainties are lower than those obtainable without uncertainty propagation.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"25 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":"123826081","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":"Computer operation via face orientation","authors":"P. Ballard, G. Stockman","doi":"10.1109/ICPR.1992.201587","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201587","url":null,"abstract":"Computer operation via face orientation provides a means of communication for people with severe physical disability. The authors present a near-real-time computer system to track the eyes and the nose of a subject and compute the direction of the face. As presented by K. Ohmura et al. (1988), the direction can be computed from three natural feature points extracted from the face. The computational approach taken in this system is motivated by the practical requirements of near-real-time performance and accuracy. The approach is based on the reflection characteristic of the cornea. Any bright light source forms a twinkle in the eye that is fixed as long as the light source is fixed. Face direction detection is treated as a 2D tracking problem. The eye twinkles are extracted from the image and used to locate the nose. A final experiment shows that the face direction obtained from the three feature points is precise enough to control the mouse cursor to make selection from a menu with large light buttons.<<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":"121795836","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":"Precision of camera calibration and stereovision performed by standard cameras and image digitizer","authors":"M. Chapron, J. Cocquerez, N. Liu","doi":"10.1109/ICPR.1992.201658","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201658","url":null,"abstract":"This paper deals with precision of camera calibration and stereovision performed by standard CCD cameras and digitizers. A modified relaxation algorithm is proposed for the stereo matching of the line segments.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"28 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":"121826405","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":"Efficient methods for hypothesis verification paradigms","authors":"A. Winzen","doi":"10.1109/ICPR.1992.201623","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201623","url":null,"abstract":"This paper describes efficient methods for verification and their integration in hypothesis verification algorithms suitable for image analysis. The problem of verifying hypotheses can often be reduced (with some restrictions) to the calculation of maximal weighted bipartite graph-matchings or to the calculation of maximal flows minimizing a cost function. These are in known graph theoretic problems and there exist some efficient algorithms for them. These algorithms are faster than graph-searching algorithms, such as A*, and need less memory capacity. Their complexity does not depend on the choice of rating functions or heuristic cost estimation. Experimental results of the integration of such methods and an A*-algorithm as a control-algorithm are included.<<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":"117261174","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":"Hierarchical computation of image velocity from local phase information","authors":"W. Beck","doi":"10.1109/ICPR.1992.201615","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201615","url":null,"abstract":"Describes a hierarchical algorithm for the computation of dense displacement fields from a pair of images. The algorithm uses local phase from band-pass filters rather than image brightness to establish a correspondence between the images. The main contribution of this paper is that it describes how to combine orientation and scale specific measurements into a flowfield without ad hoc assumptions.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"31 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":"124793909","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":"Development of a segment-based description of events in image sequences","authors":"U. Thoennessen, D. Ernst, H. Gross","doi":"10.1109/ICPR.1992.201581","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201581","url":null,"abstract":"This paper describes an approach for image sequence processing, which extracts objects (or parts of objects) from the image sequence, generates motion-specifically attributed tracks (location/time course) and derives a hierarchy of motion. The base consists of object-characterizing segments which are determined by a multiple threshold method. This method yields feature descriptions for each segment. Based on this description, an association of the segments from frame to frame is done. The resulting motion vectors are concatenated as long as the features of the segments and the motion-specific attributes do not change significantly. In a subsequent step the analysis of motion-specific interrelations between the tracks is executed. The event recognition is processed and controlled by event models. In conformity with motion concepts the hypotheses of events are initialized by motion dependent changes of the tracks.<<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":"124967832","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 step toward generic object recognition","authors":"F. Tomita, M. Koizumi","doi":"10.1109/ICPR.1992.201641","DOIUrl":"https://doi.org/10.1109/ICPR.1992.201641","url":null,"abstract":"The authors propose an approach to define objects qualitatively and hierarchically by generic shapes (primitives) arranged by generic relations so that a class of objects has the same description and to recognize them in a parallel and bottom-up way in the image.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"142 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":"129665260","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}