1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition最新文献_第5页

Recovering the shape of polyhedra using line-drawing analysis and complex reflectance models 利用线条分析和复杂反射模型恢复多面体的形状

1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 1994-06-21 DOI: 10.1109/CVPR.1994.323875

I. Shimshoni, J. Ponce

引用次数: 36

Obstacle detection analysis 障碍物检测分析

1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 1994-06-21 DOI: 10.1109/CVPR.1994.323901

Philippe Bobet, C. Schmid

引用次数: 7

Focused image recovery from two defocused images recorded with different camera settings 聚焦图像恢复从两个散焦图像记录与不同的相机设置

1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 1994-06-21 DOI: 10.1109/CVPR.1994.323899

M. Subbarao, Tse-Chung Wei, G. Surya

引用次数: 50

Deformable models with parameter functions: application to heart-wall modeling 具有参数函数的可变形模型:应用于心脏壁建模

1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 1994-06-21 DOI: 10.1109/CVPR.1994.323863

Jinah Park, Dimitris N. Metaxas, A. Young

引用次数: 62

X-Y separable pyramid steerable scalable kernels X-Y可分离金字塔可控制可扩展核

1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 1994-06-21 DOI: 10.1109/CVPR.1994.323835

Doug Shy, P. Perona

引用次数: 20

VISIPLAN: a hierarchical planning framework for composing biomedical image analysis processes VISIPLAN:构成生物医学图像分析过程的分层规划框架

1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 1994-06-21 DOI: 10.1109/CVPR.1994.323886

L. Gong, C. Kulikowski

引用次数: 4

Representation and computation of the spatial environment for indoor navigation 室内导航空间环境的表示与计算

1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 1994-06-21 DOI: 10.1109/CVPR.1994.323869

Dongsung Kim, R. Nevatia

{"title":"Representation and computation of the spatial environment for indoor navigation","authors":"Dongsung Kim, R. Nevatia","doi":"10.1109/CVPR.1994.323869","DOIUrl":"https://doi.org/10.1109/CVPR.1994.323869","url":null,"abstract":"We introduce a spatial representation, s-map, for an indoor navigation robot. The s-map represents the locations of obstacles in a planar domain, where obstacles are defined as any objects that can block movement of the robot. In building the s-map, the viewing triangle constraint and the stability constraint are introduced for efficient verification of vertical surfaces. These verified vertical surfaces and 3-D segments of obstacles smaller than a robot, are mapped to the s-map by simply dropping height information. Thus, the s-map is made directly from 3-D segments with simple verification, and represents obstacles in a planar domain so that it becomes a navigable map for the robot without further processing. In addition to efficient map building, the s-map represents the environment more realistically and completely. Furthermore, the s-map converts many navigation problems in 3-D, such as map fusion and path planning, into 2-D ones. We present the analysis of the s-map in terms of complexity and reliability, and discuss its pros and cons. Moreover, we show the results of the s-maps for indoor environments.<<ETX>>","PeriodicalId":160667,"journal":{"name":"1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128610011","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

Extraction of 3D shape from optic flow: a geometric approach 从光流提取三维形状:一种几何方法

1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 1994-06-21 DOI: 10.1109/CVPR.1994.323820

T. Dijkstra, P. Snoeren, C. Gielen

引用次数: 5

Reconstruction of high resolution 3D visual information 高分辨率三维视觉信息重建

1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 1994-06-21 DOI: 10.1109/CVPR.1994.323784

M. Berthod, H. Shekarforoush, M. Werman, J. Zerubia

引用次数: 41

Controlled active exploration of uncalibrated environments 对未校准环境的可控主动探索

1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 1994-06-21 DOI: 10.1109/CVPR.1994.323900

Christopher E. Smith, S. Brandt, N. Papanikolopoulos

{"title":"Controlled active exploration of uncalibrated environments","authors":"Christopher E. Smith, S. Brandt, N. Papanikolopoulos","doi":"10.1109/CVPR.1994.323900","DOIUrl":"https://doi.org/10.1109/CVPR.1994.323900","url":null,"abstract":"Flexible operation of a robotic agent in an uncalibrated environment requires the ability to recover unknown or partially known parameters of the workspace through sensing. Of the sensors available to a robotic agent, visual sensors provide information that is richer and more complete than other sensors. In this paper we present robust techniques for the derivation of depth from feature points on a target's surface and for the accurate and high-speed tracking of moving targets. We use these techniques in a system that operates with little or no a priori knowledge of the object- and camera-related parameters to robustly determine such object-related parameters as velocity and depth. Such determination of extrinsic environmental parameters is essential for performing higher level tasks such as inspection, exploration, tracking, grasping, and collision-free motion planning. For both applications, we use the Minnesota Robotic Visual Tracker (a single visual sensor mounted on the end-effector of a robotic manipulator combined with a real-time vision system) to automatically select feature points on surfaces, to derive an estimate of the environmental parameter in question, and to supply a control vector based upon these estimates to guide the manipulator.<<ETX>>","PeriodicalId":160667,"journal":{"name":"1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125277704","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: 18