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

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A periodic generalized cylinder model with local deformations for tracking closed contours exhibiting repeating motion 一种具有局部变形的周期广义圆柱模型，用于跟踪具有重复运动的闭合轮廓
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576307
Thomas O'Donnell, Alok Gupta, T. Boult
{"title":"A periodic generalized cylinder model with local deformations for tracking closed contours exhibiting repeating motion","authors":"Thomas O'Donnell, Alok Gupta, T. Boult","doi":"10.1109/ICPR.1994.576307","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576307","url":null,"abstract":"Periodic data is often most appropriately described with a periodic model. This allows for the subsumption of tracking into model fitting and a natural method for the interpolation of data over time. We present a deformable periodic generalized cylinder (DPGC) for simultaneously modeling and tracking closed contours which exhibit a repeating motion. Results of the recovery of the projection of a beating left ventricle (BLV) from segmented ultrasound data as well as the segmentation of a BLV cross section from series of MR image slices are presented.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"131 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":"115617474","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: 13
Direct computation of shape from shading 从阴影中直接计算形状
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576240
M. Brooks, W. Chojnacki
{"title":"Direct computation of shape from shading","authors":"M. Brooks, W. Chojnacki","doi":"10.1109/ICPR.1994.576240","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576240","url":null,"abstract":"A direct method for the recovery of surface shape from image shading is presented. The method in its basic form is applicable to shading patterns obtained when a distant overhead point light-source illuminates a convex or concave Lambertian surface possessing a single extremal point at which surface height has either a local maximum or local minimum. A key quality of the method is its ability to operate without explicit prerequisite information concerning the shape of the sought-after surface. Consideration is also given to the manipulation of images of more complex surface shapes.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"21 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":"123089623","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: 24
Color vision based methodology for grading lumber 木材分级用色觉方法
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576444
O. Silvén, Hannu Kauppinen
{"title":"Color vision based methodology for grading lumber","authors":"O. Silvén, Hannu Kauppinen","doi":"10.1109/ICPR.1994.576444","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576444","url":null,"abstract":"In this paper we describe the outlines of a color vision solution for grading softwood lumber The proposed inspection principle is to recognize the sound wood regions early as this reduces the computational requirements at later stages. This is important because color increases the data volumes significantly over grey scale images. The computational solutions have turned out to be simpler than with grey scale data, compensating for the cost of the more sophisticated imaging system.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"05 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":"127190586","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: 25
A Markovian model for contour grouping 轮廓分组的马尔可夫模型
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576357
Sabine Urago, J. Zerubia, M. Berthod
{"title":"A Markovian model for contour grouping","authors":"Sabine Urago, J. Zerubia, M. Berthod","doi":"10.1109/ICPR.1994.576357","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576357","url":null,"abstract":"Describes an algorithm which restores images of incomplete contours using a Markovian model. In order to complete the boundaries, a criterion is defined and introduced in an energy function, which has to be optimized. A deterministic relaxation algorithm ICM (\"iterated conditional mode\") is implemented to minimize this energy function. It generates a configuration in which the contours are reconstructed. Several examples of real image restoration have been tested on a SIMD computer (Connection Machine CM 200). This algorithm allows one to fill up large gaps and to get a better contour grouping.","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":"125833986","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: 15
Determining angles with a movable observer 用可移动的观察者确定角度
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576278
C. Madsen, H. Christensen
{"title":"Determining angles with a movable observer","authors":"C. Madsen, H. Christensen","doi":"10.1109/ICPR.1994.576278","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576278","url":null,"abstract":"We present a view planning approach to determining angles between two-line junctions on an object. Using view planning we demonstrate an ability to determine such angles without reconstruction of 3D properties, and without using known camera displacement. The core in our approach is a two-step view planning strategy based on two simple motion patterns. The view planning is controlled using local extrema in the apparent (viewed) angle. We demonstrate the approach on real images and experiments show an accuracy in determined angle which is better than /spl plusmn/1 degrees.","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":"123482479","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: 2
A robust technique for the estimation of the deformable hyperquadrics from images 一种从图像中估计可变形超二次曲面的鲁棒技术
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576229
Senthil Kumar, Dmitry Goldgof
{"title":"A robust technique for the estimation of the deformable hyperquadrics from images","authors":"Senthil Kumar, Dmitry Goldgof","doi":"10.1109/ICPR.1994.576229","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576229","url":null,"abstract":"We present a robust technique for the estimation of deformable hyperquadrics from images. Hyperquadrics are volumetric shape models that include superquadrics as a special case. Recovering hyperquadric parameters is difficult not only due to the existence of many local minima in the error function but also due to the existence of an infinite number of global minima (with zero error) that do not correspond to any meaningful shape. An algorithm that minimizes the error-of-fit function without using techniques similar to those presented here will often find itself stuck in \"meaningless\" minima, even with good initialization. Our algorithm exhibits good convergence behavior and is largely insensitive to initialization.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"52 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":"116006811","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
Stereo image calibration using angle constraints 基于角度约束的立体图像标定
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576408
R. Chung, S.K.M. Wong
{"title":"Stereo image calibration using angle constraints","authors":"R. Chung, S.K.M. Wong","doi":"10.1109/ICPR.1994.576408","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576408","url":null,"abstract":"Stereo images have to be calibrated before stereo vision can recover the 3D information of the imaged scene. Position constraints via point correspondences are traditionally used to solve the calibration problem. We describe a method that uses correspondences of projections of orthogonal trihedral vertices for calibration. The method has a closed-form solution, as opposed to many other calibration methods which are iterative. It also requires only two vertex correspondences at minimum to recover all the transformation parameters which are recoverable from a stereo image pair. Extensive experimental results including those on real images are presented, and they show that our method is more robust than those using position constraints alone.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"150 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":"116093669","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
Statistics of surface curvature estimates 曲面曲率估计的统计
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576222
A. Hilton, J. Illingworth, T. Windeatt
{"title":"Statistics of surface curvature estimates","authors":"A. Hilton, J. Illingworth, T. Windeatt","doi":"10.1109/ICPR.1994.576222","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576222","url":null,"abstract":"Reliable curvature estimation is an important goal in image analysis to provide viewpoint independent cues for shape classification. This paper presents a model of the relationship between the variance of curvature estimates and the image noise. Agreement to within 10% is obtained for 3D range data. Previous models have only provided qualitative agreement with experimental observations. A perturbation error analysis is performed on the local least square surface fitting algorithm which is commonly used to obtain partial derivative estimates in the presence of noise.","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":"122449601","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: 30
Recursive image sequence segmentation by hierarchical models 递归图像序列分割的层次模型
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576344
F. Marques, V. Vera, A. Gasull
{"title":"Recursive image sequence segmentation by hierarchical models","authors":"F. Marques, V. Vera, A. Gasull","doi":"10.1109/ICPR.1994.576344","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576344","url":null,"abstract":"This paper addresses the problem of image sequence segmentation. A technique using a sequence model based on compound random fields is presented. This technique is recursive in the sense that frames are processed in the same cadency as they are produced. New regions appearing in the sequence are detected by a morphological procedure.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"25 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":"128734850","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: 5
Fusion of 3D B-spline surface patches reconstructed from image sequences 图像序列重建的三维b样条曲面斑块的融合
Proceedings of 12th International Conference on Pattern Recognition Pub Date : 1994-10-09 DOI: 10.1109/ICPR.1994.576274
R. Mohr, Changsheng Zhao, G. Koscielny
{"title":"Fusion of 3D B-spline surface patches reconstructed from image sequences","authors":"R. Mohr, Changsheng Zhao, G. Koscielny","doi":"10.1109/ICPR.1994.576274","DOIUrl":"https://doi.org/10.1109/ICPR.1994.576274","url":null,"abstract":"This paper considers the problem of merging a set of distinct three dimensional B-spline surface patches, which are reconstructed from observations of the motion of occluding contours in image sequences. We propose an original method of fusing these partially overlapping patches in order to obtain a whole surface. This approach is based on a triangular mesh and surface interpolation through regularized uniform bicubic B-spline surface patches. Experimental results are presented for both synthetic and real data.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"23 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":"129336346","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: 1
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