Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271)最新文献_第9页

Hyperbolic "Smoothing" of shapes 形状的双曲“平滑”

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710721

Kaleem Siddiqi, A. Tannenbaum, S. Zucker

引用次数: 20

A cooperative framework for segmentation using 2D active contours and 3D hybrid models as applied to branching cylindrical structures 一种基于二维活动轮廓和三维混合模型的分支圆柱结构分割协同框架

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710758

Thomas O'Donnell, M. Jolly, Alok Gupta

{"title":"A cooperative framework for segmentation using 2D active contours and 3D hybrid models as applied to branching cylindrical structures","authors":"Thomas O'Donnell, M. Jolly, Alok Gupta","doi":"10.1109/ICCV.1998.710758","DOIUrl":"https://doi.org/10.1109/ICCV.1998.710758","url":null,"abstract":"Hybrid models are powerful tools for recovery in that they simultaneously provide a gross parametric as well as a detailed description of an object. However, it is difficult to directly employ hybrid models in the segmentation process since they are not guaranteed to locate the optimal boundaries in cross-sectional slices. Propagating 2D active contours from slice to slice, on the other hand, to delineate an object's boundaries is often effective, but may run into problems when the object's topology changes, such as at bifurcations or even in areas of high curvature. Here, we present a cooperative framework to exploit the positive aspects of both 3D hybrid model and 2D active contour approaches for segmentation and recovery. In this framework the user-defined parametric component of a 3D hybrid model provides constraints for a set of 2D segmentations performed by active contours. The same hybrid model is then fit both parametrically and locally to this segmentation. For the hybrid model fit we employ several new variations on the physically-motivated paradigm which seek to speed recovery while guaranteeing stability. A by-product of these variations is an increased generality of the method via the elimination, of some of its ad hoc parameters. We apply our cooperative framework to the recovery of branching cylindrical structures from 3D image volumes. The hybrid model we employ has a novel parametric component which is a fusion of individual cylinders. These cylinders have spines that are arbitrary space curves and cross-sections which may be any star shaped planar curve.","PeriodicalId":270671,"journal":{"name":"Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132324122","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 probabilistic contour discriminant for object localisation 一种用于目标定位的概率轮廓判别法

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710748

J. MacCormick, A. Blake

引用次数: 61

3D reconstruction with projective octrees and epipolar geometry 三维重建与射影八叉树和极几何

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710849

B. Garcia, P. Brunet

引用次数: 15

Object tracking using deformable templates 使用可变形模板进行对象跟踪

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710756

Yu Zhong, Anil K. Jain, M. Jolly

引用次数: 197

Recognizing novel 3-D objects under new illumination and viewing position using a small number of example views or even a single view 使用少量示例视图甚至单个视图识别在新的照明和观看位置下的新三维物体

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710713

E. Sali, S. Ullman

{"title":"Recognizing novel 3-D objects under new illumination and viewing position using a small number of example views or even a single view","authors":"E. Sali, S. Ullman","doi":"10.1109/ICCV.1998.710713","DOIUrl":"https://doi.org/10.1109/ICCV.1998.710713","url":null,"abstract":"A method is presented for class-based recognition using a small number of example views taken under several different viewing conditions. The main emphasis is on using a small number of examples. Previous work assumed that the set of examples is sufficient to span the entire space of possible objects, and that in generalizing to a new viewing conditions a sufficient number of previous examples under the new conditions will be available to the recognition system. Here we have considerably relaxed these assumptions and consequently obtained good class-based generalization from a small number of examples, even a single example view, for both viewing position and illumination changes. In addition, previous class-based approaches only focused on viewing position changes and did not deal with illumination changes. Here we used a class-based approach that can generalize for both illumination and viewing position changes. The method was applied to face and car model images. New views under viewing position and illumination changes were synthesized from a small number of examples.","PeriodicalId":270671,"journal":{"name":"Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123853328","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: 22

State space construction for behavior acquisition in multi agent environments with vision and action 具有视觉和动作的多智能体环境中行为获取的状态空间构建

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710819

E. Uchibe, M. Asada, K. Hosoda

引用次数: 25

A chromaticity space for specularity, illumination color- and illumination pose-invariant 3-D object recognition 一种用于反射率、光照颜色和光照姿态不变的三维物体识别的色度空间

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710714

Daniel Berwick, S. W. Lee

引用次数: 48

Euclidean structure from uncalibrated images using fuzzy domain knowledge: application to facial images synthesis 利用模糊领域知识从未校准图像中提取欧几里德结构:在人脸图像合成中的应用

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710807

Zhengyou Zhang, K. Isono, S. Akamatsu

引用次数: 17

Agent orientated annotation in model based visual surveillance 基于模型的视觉监控中面向Agent的标注

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710817

Paolo Remagnino, T. Tan, K. Baker

引用次数: 101