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Proceedings of 12th International Conference on Pattern Recognition最新文献

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Model for local image velocity detection of early visual processing 早期视觉处理的局部图像速度检测模型
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576455
Itay Sherman, H. Spitzer
{"title":"Model for local image velocity detection of early visual processing","authors":"Itay Sherman, H. Spitzer","doi":"10.1109/ICPR.1994.576455","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576455","url":null,"abstract":"A motion model which includes inquisition on the velocity properties for the early stages of motion processing in the visual cortex is presented. The model presents analytically the correlation between cell parameters and the velocity tuning curve. The \"building-block\" for this model is the \"rebound response\", which is the excitatory response evoked when a sufficient inhibitory stimulus is turned off. The analysis described deals separately with the two \"cutoff points\" of the velocity tuning curves. The model predicts linear relation between the low \"cutoff point\" with the integration time, and a reversed correlation to the receptive field size. The high \"cutoff point\" is reversed, correlated with the cell threshold. The predictions are confirmed using computerized simulation and physiological findings.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117091124","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}
引用次数: 0
Fast 3-D object recognition using feature based aspect-trees 基于特征树的快速三维物体识别
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576470
O. Munkelt, Christoph Zierl
{"title":"Fast 3-D object recognition using feature based aspect-trees","authors":"O. Munkelt, Christoph Zierl","doi":"10.1109/ICPR.1994.576470","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576470","url":null,"abstract":"This contribution focuses on the recognition of a priori known 3-D objects in single 2-D images. The underlying model is embedded in the domain of CAD-based vision using a viewer-centered approach to generate a set of normalized views. They serve as a basis for an optimal selection of properties of features. The idea of an aspect is used for grouping the values of the properties into aspect-trees. The aim of this approach is to identify fast the correct view of an object seen in the image and thereby to distinguish between different objects. Various experiments with different objects and under stepwise varied conditions clearly demonstrate the robustness of this approach and its ability of recognizing 3-D objects.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124460928","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}
引用次数: 9
Estimation of the second order spatio-temporal derivatives of deforming image curves 变形图像曲线的二阶时空导数估计
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576253
T. Papadopoulo, O. Faugeras
{"title":"Estimation of the second order spatio-temporal derivatives of deforming image curves","authors":"T. Papadopoulo, O. Faugeras","doi":"10.1109/ICPR.1994.576253","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576253","url":null,"abstract":"This paper intends to show that the second order spatio-temporal derivatives of de-forming image curves can be computed quite accurately from image sequences. These quantities, related to the second order optical flow parameters, are useful in the computation of the motion and the structure of a 3-D rigid curve from monocular image sequences. We show that they can be estimated directly from the points of the spatio-temporal surface generated by the image curve using polynomial approximation, and that the accuracy is at least comparable and often much better than that obtained using the other standard techniques. We consider particularly the special case of curvature because the estimation of that quantity has been studied before and show the results obtained using different methods. We then propose a \"pseudo scale-space\" method that should improve further the accuracy of the results.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128370703","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}
引用次数: 4
Accurate computation of optical flow by using layered motion representations 基于分层运动表示的光流精确计算
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576427
S. Hsu, P. Anandan, Shmuel Peleg
{"title":"Accurate computation of optical flow by using layered motion representations","authors":"S. Hsu, P. Anandan, Shmuel Peleg","doi":"10.1109/ICPR.1994.576427","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576427","url":null,"abstract":"This paper presents a framework combining two prevailing approaches to motion analysis: optical flows which describes motion at each point, and methods that define global motions for larger regions. Image motion is represented by layers-image regions whose coherent motion can be approximated by some parametric motion model. The motion at every point is obtained by the parametric motion estimate of the entire layer, corrected by a residual flow which captures the difference between the real image motion and the layer's motion model. The new approach is able to construct accurate flow fields in the presence of multiple motions, motion boundaries, and transparent motions.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129627238","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}
引用次数: 78
A generalized motion model for estimating optical flow using 3-D Hermite polynomials 利用三维Hermite多项式估计光流的广义运动模型
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576299
Hongche Liu, T. Hong, M. Herman, R. Chellappa
{"title":"A generalized motion model for estimating optical flow using 3-D Hermite polynomials","authors":"Hongche Liu, T. Hong, M. Herman, R. Chellappa","doi":"10.1109/ICPR.1994.576299","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576299","url":null,"abstract":"Classic optical flow algorithms assume local image translational motion and apply some primitive image smoothing. Recent studies have taken two separate approaches toward improving accuracy: the application of spatio-temporal filtering schemes and the use of generalized motion models such as the affine model. Each has achieved improvement in its specialized situations. We analyze the interdependency between them and propose a unified theory. The generalized motion we adopt models arbitrary 3D steady motion. Under perspective projection, we derive an image motion equation that describes the spatio-temporal relation in an image sequence, thus making 3D spatio-temporal filtering possible. Hence we establish a theory of Hermite polynomial differentiation filters, whose orthogonality and Gaussian derivative properties ensure numerical stability. The use of higher order motion constraint equations to accommodate more complex motion is justified by the algorithm's reliable performance, as demonstrated by evaluating our algorithm in the scheme established by Barron, et al. (1994).","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129804730","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}
引用次数: 11
Image segmentation with a propagator Markov mesh model 图像分割与传播马尔可夫网格模型
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576338
Carola Fassnacht, P. Devijver
{"title":"Image segmentation with a propagator Markov mesh model","authors":"Carola Fassnacht, P. Devijver","doi":"10.1109/ICPR.1994.576338","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576338","url":null,"abstract":"We introduce the concept of a propagator function to characterize unilateral Markov fields that fulfil the positivity condition. We show that parameter estimation of a model realization corresponds to the solution of a given set of equations, which can be solved explicitly for a specific propagator function depending exclusively on identities among site labels. For a hidden model, we propose a nonsupervised, iterative scheme comprising labeling and parameter re-estimation steps. Segmentation experiments using a third order Markov mesh, together with a look-ahead algorithm for real-time label estimation, show rapid convergence of the learning algorithm and yield subjectively good results.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132433141","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}
引用次数: 3
A modified Hausdorff distance for object matching 一种用于目标匹配的改进Hausdorff距离
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576361
Marie-Pierre Dubuisson, Anil K. Jain
{"title":"A modified Hausdorff distance for object matching","authors":"Marie-Pierre Dubuisson, Anil K. Jain","doi":"10.1109/ICPR.1994.576361","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576361","url":null,"abstract":"The purpose of object matching is to decide the similarity between two objects. This paper introduces 24 possible distance measures based on the Hausdorff distance between two point sets. These measures can be used to match two sets of edge points extracted from any two objects. Based on experiments on synthetic images containing various levels of noise, the authors determined that one of these distance measures, called the modified Hausdorff distance (MHD) has the best performance for object matching. The advantages of MHD ever other distances are also demonstrated on several edge snaps of objects extracted from real images.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130852700","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}
引用次数: 1504
Symmetry of fuzzy data 模糊数据的对称性
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576336
H. Hel-Or, Shmuel Peleg, D. Avnir
{"title":"Symmetry of fuzzy data","authors":"H. Hel-Or, Shmuel Peleg, D. Avnir","doi":"10.1109/ICPR.1994.576336","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576336","url":null,"abstract":"Symmetry is usually viewed as a discrete feature: an object is either symmetric or non-symmetric. Following the view that symmetry is a continuous feature, a continuous symmetry measure (CSM) has been developed to evaluate symmetries of shapes and objects. In this paper the authors extend the symmetry measure to evaluate the imperfect symmetry of fuzzy shapes, i.e. shapes with uncertain point localization. The authors find the probability distribution of symmetry values for a given fuzzy shape. Additionally, for every such fuzzy shape, the authors find the most probable symmetric shape.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130907760","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}
引用次数: 8
Texture orientation for sorting photos "at a glance" 纹理方向排序照片“一目了然”
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576325
M. Gorkani, Rosalind W. Picard
{"title":"Texture orientation for sorting photos \"at a glance\"","authors":"M. Gorkani, Rosalind W. Picard","doi":"10.1109/ICPR.1994.576325","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576325","url":null,"abstract":"Investigates a measure of \"dominant perceived orientation\" that has been developed to match the output of a human study involving 40 subjects. The results of this measure are compared with humans analyzing seven \"teaser\" images to test its effectiveness for finding perceptually dominant orientations. The use of low-level orientation is then applied to a \"quick search\" problem important in image database applications. Since both pigeons and humans are able to perform coarse classification of certain kinds of scenes, e.g., city from country, without taking time or brain-power to solve the image understanding problem, the authors conjecture that the collective behavior of low-level textural features such as orientation may be doing most of the work. The authors demonstrate a simple test of global multiscale orientation for quickly searching a database of vacation photos for likely \"city/suburb\" shots. The orientation features achieve agreement with human classification in 91 out of 98 of the scenes.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126892017","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}
引用次数: 242
Affine reconstruction from perspective image pairs obtained by a translating camera 由平移相机获得的透视图像对进行仿射重建
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576280
T. Moons, L. Gool, M. V. Diest, E. Pauwels
{"title":"Affine reconstruction from perspective image pairs obtained by a translating camera","authors":"T. Moons, L. Gool, M. V. Diest, E. Pauwels","doi":"10.1109/ICPR.1994.576280","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576280","url":null,"abstract":"The three-dimensional structure of a scene consisting of at least five points whose images are identified in two perspective views obtained by a translating camera, can be reconstructed up to a 3D affine transformation. Hence, a more detailed reconstruction is possible using less information when compared to the results for arbitrary stereo pairs taken with uncalibrated, perspective cameras.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122247110","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}
引用次数: 48
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