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

Wide baseline stereo matching 宽基线立体匹配

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710802

P. Pritchett, Andrew Zisserman

引用次数: 354

Recognition of 3D free-form objects using segment-based stereo vision 基于分段立体视觉的三维自由形状物体识别

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710789

Y. Sumi, Y. Kawai, T. Yoshimi, F. Tomita

引用次数: 26

Automatic generation of robot program code: learning from perceptual data 机器人程序代码的自动生成:从感知数据中学习

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710822

M. Yeasin, S. Chaudhuri

引用次数: 8

Motion estimation in image sequences using the deformation of apparent contours 基于视轮廓变形的图像序列运动估计

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710829

Kalle Åström, Fredrik Kahl

引用次数: 45

A framework for modeling appearance change in image sequences 图像序列中外观变化建模的框架

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710788

Michael J. Black, David J. Fleet, Y. Yacoob

引用次数: 77

Recovering epipolar geometry by reactive tabu search 利用反应性禁忌搜索恢复极面几何

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710804

Qifa Ke, Gang Xu, Songde Ma

引用次数: 4

Minimizing algebraic error in geometric estimation problems 几何估计问题中的代数误差最小化

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710760

R. Hartley

引用次数: 87

Acquiring 3D object models from specular motion using circular lights illumination 使用圆形灯光照明从镜面运动中获取3D物体模型

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710854

J. Zheng, A. Murata

引用次数: 13

Illumination-invariant color object recognition via compressed chromaticity histograms of color-channel-normalized images 基于颜色通道归一化图像的压缩色度直方图的光照不变颜色目标识别

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710768

M. S. Drew, Jie Wei, Ze-Nian Li

{"title":"Illumination-invariant color object recognition via compressed chromaticity histograms of color-channel-normalized images","authors":"M. S. Drew, Jie Wei, Ze-Nian Li","doi":"10.1109/ICCV.1998.710768","DOIUrl":"https://doi.org/10.1109/ICCV.1998.710768","url":null,"abstract":"Several color object recognition methods that are based on image retrieval algorithms attempt to discount changes of illumination in order to increase performance when test image illumination conditions differ from those that obtained when the image database was created. Here we extend the seminal method of Swain and Ballard to discount changing illumination. The new method is based on the first stage of the simplest color indexing method, which uses angular invariants between color image and edge image channels. That method first normalizes image channels, and then effectively discards much of the remaining information. Here we adopt the color-normalization stage as an adequate color constancy step. Further, we replace 3D color histograms by 2D chromaticity histograms. Treating these as images, we implement the method in a compressed histogram-image domain using a combination of wavelet compression and Discrete Cosine Transform (DCT) to fully exploit the technique of low-pass filtering for efficiency. Results are very encouraging, with substantially better performance than other methods tested. The method is also fast, in that the indexing process is entirely carried out in the compressed domain and uses a feature vector of only 36 or 72 values.","PeriodicalId":270671,"journal":{"name":"Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271)","volume":"23 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":"123914757","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: 103

Snake pedals: geometric models with physics-based control 蛇形踏板:基于物理控制的几何模型

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) Pub Date : 1998-01-04 DOI: 10.1109/ICCV.1998.710754

B. Vemuri, Yanlin Guo

{"title":"Snake pedals: geometric models with physics-based control","authors":"B. Vemuri, Yanlin Guo","doi":"10.1109/ICCV.1998.710754","DOIUrl":"https://doi.org/10.1109/ICCV.1998.710754","url":null,"abstract":"In this paper, we introduce a novel geometric shape modeling scheme which allows for representation, of global and local shape characteristics of an object. Geometric models are traditionally well suited for representing global shapes but not the local details. However, in this paper we propose a powerful geometric shape modeling scheme which allows for the representation of global shapes with local detail and permits model shaping as well as topological changes via physics-based control. The proposed modeling scheme consists of representing shapes by pedal curves and surfaces-pedal curves/surfaces are the loci of the foot of perpendiculars to the tangents of a fixed curve/surface from a fixed point called the pedal point. By varying the location of the pedal point, one can synthesize a large class of shapes which exhibit both local and global deformations. We introduce physics-based control for shaping these geometric models by letting the pedal point vary and use a dynamic spline to represent the position of this varying pedal point. The model dubbed as a \"snake pedal\" allows for interactive manipulation via forces applied to the snake. We demonstrate the applicability of this modeling scheme via examples of shape synthesis and shape estimation from real image data.","PeriodicalId":270671,"journal":{"name":"Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271)","volume":"50 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":"114010332","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: 10