CVGIP: Image Understanding最新文献_第7页

A zero-crossing-based optimal three-dimensional edge detector 基于零交叉的最优三维边缘检测器

CVGIP: Image Understanding Pub Date : 1994-03-01 DOI: 10.1006/CIUN.1994.1016

Shiming Zhan, R. Mehrotra

引用次数: 18

A Zero-Crossing-Based Optimal Three-Dimensional Edge Detector 基于零交叉的最优三维边缘检测器

CVGIP: Image Understanding Pub Date : 1994-03-01 DOI: 10.1006/ciun.1994.1016

Zhan S.M., Mehrotra R.

引用次数: 18

Recursive-Batch Estimation of Motion and Structure from Monocular Image Sequences 单眼图像序列中运动和结构的递归批估计

CVGIP: Image Understanding Pub Date : 1994-03-01 DOI: 10.1006/ciun.1994.1010

Cui N., Weng J.J., Cohen P.

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引用次数: 35

Calibration of a computer controlled robotic vision sensor with a zoom lens 用变焦镜头标定计算机控制的机器人视觉传感器

CVGIP: Image Understanding Pub Date : 1994-03-01 DOI: 10.1006/CIUN.1994.1015

K. Tarabanis, R. Tsai, D. Goodman

引用次数: 34

Robust Consensus Based Edge Detection 基于鲁棒一致性的边缘检测

CVGIP: Image Understanding Pub Date : 1994-03-01 DOI: 10.1006/ciun.1994.1009

Mintz D.

引用次数: 0

Volumetric Shapes of Solids of Revolution from a Single-View Range Image 单视距图像中旋转固体的体积形状

CVGIP: Image Understanding Pub Date : 1994-01-01 DOI: 10.1006/ciun.1994.1003

Yokoya N., Levine M.D.

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引用次数: 15

Function-Based Generic Recognition for Multiple Object Categories 基于函数的多目标分类通用识别

CVGIP: Image Understanding Pub Date : 1994-01-01 DOI: 10.1006/ciun.1994.1001

Stark L., Bowyer K.

{"title":"Function-Based Generic Recognition for Multiple Object Categories","authors":"Stark L., Bowyer K.","doi":"10.1006/ciun.1994.1001","DOIUrl":"10.1006/ciun.1994.1001","url":null,"abstract":"Abstract In function-based object recognition an object category is represented by knowledge about object function. Function-based approaches are important because they provide a principled means of constructing generic recognition systems. Our work concentrates specifically on the relation between shape and function of rigid 3D objects. Recognition of an observed object shape is performed by reasoning about the function that the shape might serve. Recent research has demonstrated the feasibility of function-based shape recognition. However, previous efforts have dealt with only a single basic level object category. A number of important issues arise in extending a function-based approach to handle multiple basic level categories. One issue is whether the knowledge about function can be organized into general primitive chunks that are reusable across different categories. Another issue is how to efficiently index the knowledge base so as to avoid exhaustive testing of an object shape against each known category. In order to explore these issues, we have implemented a second-generation function-based recognition system that handles a collection of basic level object categories within the superordinate category furniture. The recognition capabilities and indexing performance of this system have been evaluated on a database of over 250 shapes. We also show recognition results from some 3D shape descriptions acquired from laser range finder data. To our knowledge, this is the first (only) work in function-based recognition to address the recognition of multiple object categories.","PeriodicalId":100350,"journal":{"name":"CVGIP: Image Understanding","volume":"59 1","pages":"Pages 1-21"},"PeriodicalIF":0.0,"publicationDate":"1994-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/ciun.1994.1001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81886198","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: 84

Multiscale Minimization of Global Energy Functions in Some Visual Recovery Problems 若干视觉恢复问题中全局能量函数的多尺度最小化

CVGIP: Image Understanding Pub Date : 1994-01-01 DOI: 10.1006/ciun.1994.1008

Heitz F., Perez P., Bouthemy P.

{"title":"Multiscale Minimization of Global Energy Functions in Some Visual Recovery Problems","authors":"Heitz F., Perez P., Bouthemy P.","doi":"10.1006/ciun.1994.1008","DOIUrl":"10.1006/ciun.1994.1008","url":null,"abstract":"<div><p>Many image analysis and computer vision problems have been expressed as the minimization of global energy functions describing the interactions between the observed data and the image representations to be extracted in a given task. In this note, we investigate a new comprehensive approach to minimize global energy functions using a multiscale relaxation algorithm. The energy function is minimized over nested subspaces of the original space of possible solutions. These subspaces consist of solutions which are constrained at different scales. The constrained relaxation is implemented via a coarse-to-fine multiresolution algorithm that yields fast convergence towards high quality estimates when compared to standard monoresolution or multigrid relaxation schemes. It also appears to be far less sensitive to local minima than standard relaxation algorithms. The efficiency of the approach is demonstrated on a highly nonlinear combinatorial problem which consists of estimating long-range motion in an image sequence on a discrete label space. The method is compared to standard relaxation algorithms on real world and synthetic image sequences.</p></div>","PeriodicalId":100350,"journal":{"name":"CVGIP: Image Understanding","volume":"59 1","pages":"Pages 125-134"},"PeriodicalIF":0.0,"publicationDate":"1994-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/ciun.1994.1008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76853775","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: 209

Towards Model-Based Recognition of Human Movements in Image Sequences 基于模型的图像序列人体运动识别研究

CVGIP: Image Understanding Pub Date : 1994-01-01 DOI: 10.1006/ciun.1994.1006

Rohr K.

引用次数: 487

Convergence and Continuity Criteria for Discrete Approximations of the Continuous Planar Skeleton 连续平面骨架离散逼近的收敛性和连续性准则

CVGIP: Image Understanding Pub Date : 1994-01-01 DOI: 10.1006/ciun.1994.1007

Brandt J.W.

引用次数: 80