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

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An optimization framework for efficient self-calibration and motion determination 一种高效自标定和运动确定的优化框架
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576266
Q. Luong, O. Faugeras
{"title":"An optimization framework for efficient self-calibration and motion determination","authors":"Q. Luong, O. Faugeras","doi":"10.1109/ICPR.1994.576266","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576266","url":null,"abstract":"The problem of calibrating a camera is extremely important for practical applications. While classical work is based on the use of a calibration pattern whose 3D model is a priori known, self-calibration methods have also been investigated. These methods require only point matches obtained during unknown motions, without any a priori knowledge of the scenes. However, the method initially presented by Faugeras, Luong and Maybank (1992) was computationally expensive and sensitive to noise. In this paper, we propose an alternative method to compute at the same time camera calibration and motion, which is robust and efficient. This method allows also to take into account the important trinocular constraints. The practical applicability of our algorithm is illustrated with numerous real examples, which includes 3D reconstruction.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"1 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":"129163133","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: 20
Segment-based detection of moving objects in a sequence of images 图像序列中运动物体的基于片段的检测
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576304
B. Giai-Checa, P. Bouthemy, T. Viéville
{"title":"Segment-based detection of moving objects in a sequence of images","authors":"B. Giai-Checa, P. Bouthemy, T. Viéville","doi":"10.1109/ICPR.1994.576304","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576304","url":null,"abstract":"In this paper, we present a method to detect moving objects in a scene modelled as a set of line segments and using the measure of their 2D motion through a monocular sequence of images. These measures are supplied by a segment tracker using a Kalman filtering approach. In order to perform such a detection task, we have to determine and sort the rigid structures; we work with structures of five segments and declare that they are rigid if they verify several rigidity conditions. Using these constraints, we sort them into \"classes\" according to their associated 2D affine motion fields.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"106 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":"126207574","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
Matching images by comparing their gradient fields 通过比较图像的梯度场来匹配图像
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576363
D. Scharstein
{"title":"Matching images by comparing their gradient fields","authors":"D. Scharstein","doi":"10.1109/ICPR.1994.576363","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576363","url":null,"abstract":"We present a simple yet powerful method to perform point-to-point matching between two images. The method uses an evidence measure, whose value for a given displacement reflects both the similarity between two locations and the confidence in a correct match. The measure is based on the gradient fields of the images, and can be computed quickly and in parallel. Accumulating the evidence measure for different displacements allows (1) stable computation, of correspondences without smoothing across motion boundaries, and (2) detection of dominant motions. The method works well both on highly textured images and on images containing regions of uniform intensities, and can be used for a variety of applications, including stereo, motion, and object tracking.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"89 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":"125859580","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: 98
Image analysis for automated tracking in robot-assisted endoscopic surgery 机器人辅助内窥镜手术中自动跟踪的图像分析
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576232
Cheolwhan Lee, Yuan-Fang Wang, D. Uecker, Yulun Wang
{"title":"Image analysis for automated tracking in robot-assisted endoscopic surgery","authors":"Cheolwhan Lee, Yuan-Fang Wang, D. Uecker, Yulun Wang","doi":"10.1109/ICPR.1994.576232","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576232","url":null,"abstract":"This paper describes a practical and reliable image analysis and tracking algorithm to achieve automated instrument localization and scope manoeuvring in endoscopic surgery.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"87 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":"127179077","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: 52
Fast computation of invariant geometric moments: a new method giving correct results 不变几何矩的快速计算:一种给出正确结果的新方法
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576257
Luren Yang, F. Albregtsen
{"title":"Fast computation of invariant geometric moments: a new method giving correct results","authors":"Luren Yang, F. Albregtsen","doi":"10.1109/ICPR.1994.576257","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576257","url":null,"abstract":"Invariant geometric moments have been widely used in shape analysis and pattern recognition. Using a discrete version of Green's theorem, the authors propose a method for fast computation of the moments in binary images. The method is similar to-and as efficient as-the previous method of Li and Shen (1991). But the precision is largely improved. The new method gives exactly the same results as if the moments were computed by direct summation over the object area.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"30 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":"126699856","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: 72
Using a hierarchical approach to avoid over-fitting in early vision
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576458
Cheryl G. Howard, P. Bock
{"title":"Using a hierarchical approach to avoid over-fitting in early vision","authors":"Cheryl G. Howard, P. Bock","doi":"10.1109/ICPR.1994.576458","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576458","url":null,"abstract":"The ALISA system is an adaptive learning image analysis system whose hierarchical design allows learning at two levels: texture and geometry. Earlier experiments using only the texture level were repeated using the combination of the texture and geometry modules to demonstrate the advantages of learning without resorting to inventing application-specific features which over-fit the domain. The two-level approach achieves quantitative results comparable with the single-level approach, but requires far fewer training examples and uses simple general-purpose features. The hierarchical approach also generates output class maps that are isomorphic with the original image and preserve important structures, and which therefore may be used for further processing.","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":"127010360","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: 6
Urban area detection in satellite images using map knowledge by a feedback control technique 利用地图知识在卫星图像中进行城市区域检测
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576236
Shan Yu, M. Berthod
{"title":"Urban area detection in satellite images using map knowledge by a feedback control technique","authors":"Shan Yu, M. Berthod","doi":"10.1109/ICPR.1994.576236","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576236","url":null,"abstract":"A new technique for urban area detection in satellite images by integrating geographic map knowledge is presented. Satellite images are modeled by Markov random fields and digitized maps are used as a priori knowledge of the scene under analysis. An iterative scheme is proposed to increase the robustness of scene labeling algorithms by means of a feedback control. Experimental results on urban area detection in SPOT images show the effectiveness of the technique.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"1 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":"127965916","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
3-D scene representation as a collection of images 作为图像集合的三维场景表示
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576404
Stéphane Laveau, O. Faugeras
{"title":"3-D scene representation as a collection of images","authors":"Stéphane Laveau, O. Faugeras","doi":"10.1109/ICPR.1994.576404","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576404","url":null,"abstract":"We address the problem of the prediction of new views of a given scene from existing weakly or fully calibrated views called reference views. Our method does not make use of a three-dimensional model of the scene, but of the existing relations between the images. The new views are represented in the reference views by a viewpoint and a retinal plane, i.e. by four points which can be chosen interactively. From this representation and from the constraints between the images, we derive an algorithm to predict the new views. We discuss the advantages of this method compared to the commonly used scheme: 3D reconstruction-projection.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"9 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":"131501366","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: 360
Curve-like sets, normal complexity, and representation 类曲线集、正常复杂度和表示
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576260
B. Dubuc, S. Zucker
{"title":"Curve-like sets, normal complexity, and representation","authors":"B. Dubuc, S. Zucker","doi":"10.1109/ICPR.1994.576260","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576260","url":null,"abstract":"Proposes a theory of the complexity of curves that is sufficient to separate those which extend along their length (e,g., in one dimension) from those that cover an area (e.g., 2-D). The theory is based on original results in geometric measure theory, and is applied to the problems of (i) perceptual grouping and (ii) physiological interpretation, of axonal arbors in developing neurons.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"1 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":"129289455","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
Reconstruction of quadric surface from occluding contour 基于遮挡轮廓的二次曲面重建
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576219
Songde Ma, Xun Chen
{"title":"Reconstruction of quadric surface from occluding contour","authors":"Songde Ma, Xun Chen","doi":"10.1109/ICPR.1994.576219","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576219","url":null,"abstract":"We present an algebraic method to reconstruct quadric surfaces from occluding contours observed in two images. The occluding contour is the image of a special curve, called rim, on the surface. It is defined by the fact that the optical rays of their points are tangential to the surface. We show that, although the occluding contours in two images do not correspond to the same rim on the surface, we can reconstruct the surface from its two images by solving three quadratic equations. Our method has been successfully tested by the simulated data and by the real image data.","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":"133125648","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: 14
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