Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96最新文献_第4页

3L fitting of higher degree implicit polynomials 高次隐式多项式的3L拟合

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572044

Zhibin Lei, Michael M. Blane, D. Cooper

引用次数: 67

Fingerprint enhancement 指纹增强

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572056

Lin Hong, A. Jian, Sharath Pankanti, R. Bolle

引用次数: 143

Identifying nude pictures 识别裸照

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572010

D. Forsyth, Margaret M. Fleck

引用次数: 92

Mosaicing of paintings on curved surfaces 在曲面上镶嵌绘画

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.571997

W. Puech, J. Chassery, A. Bors, I. Pitas

引用次数: 10

Adaptive quantization of color space for recognition of finished wooden components 木制品构件颜色空间自适应量化识别

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572063

A. L. Abbott, Yuedong Zhao

引用次数: 3

Image processing for computer-aided diagnosis of lung cancer by CT(LSCT) CT(LSCT)肺癌计算机辅助诊断的图像处理

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572061

Shinji Yamamoto, Hao Jiang, M. Matsumoto, Y. Tateno, T. Iinuma, Toru Matsumoto

引用次数: 57

A real-time vision system for automatic traffic monitoring based on 2D spatio-temporal images 基于二维时空图像的交通自动监控实时视觉系统

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572047

Zhigang Zhu, Bo Yang, Guangyou Xu, Dingji Shi

引用次数: 30

Cartographic matching with millimetre radar images 与毫米雷达图像匹配的制图

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572003

S. Moss, E. Hancock

{"title":"Cartographic matching with millimetre radar images","authors":"S. Moss, E. Hancock","doi":"10.1109/ACV.1996.572003","DOIUrl":"https://doi.org/10.1109/ACV.1996.572003","url":null,"abstract":"This paper describes an application of the EM (expectation and maximisation) algorithm to the registration of incomplete millimetric radar images. The data used in this study consists of a series of nonoverlapping radar sweeps. Our registration process aims to recover transformation parameters between the radar-data and a digital map. The tokens used in the matching process are fragmented line-segments extracted from the radar images which predominantly correspond to hedge-rows in the cartographic data. The EM technique models data uncertainty using Gaussian mixtures defined over the positions and orientations of the lines. The resulting weighted least-squares parameter estimation problem is solved using the Levenberg-Marquardt method. A sensitivity analysis reveals that the date-likelihood function is unimodal in the translation and scale parameters. In-fact the algorithm is only sensitive to the choice of initial rotation parameter; this is attributable to local suboptima in the log-likelihood function associated with /spl pi//3 orientation ambiguities in the map. The method is also demonstrated to be relatively insensitive to random measurement errors on the line-segments.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134062493","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: 6

Cartographic indexing into a database of remotely sensed images 地图索引进入遥感图像数据库

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.571987

B. Huet, E. Hancock

{"title":"Cartographic indexing into a database of remotely sensed images","authors":"B. Huet, E. Hancock","doi":"10.1109/ACV.1996.571987","DOIUrl":"https://doi.org/10.1109/ACV.1996.571987","url":null,"abstract":"The paper aims to develop simple statistical methods for indexing line patterns. The application vehicle used in this study involves indexing into an aerial image database using a cartographic model. The images contained in the database are of urban and semi urban areas. The cartographic model represents a road network known to appear in a subset of the images contained within the database. There are known to be severe imaging distortions present and the data cannot be recovered by applying a simple Euclidean transform to the model. We effect the cartographic indexing into the database using pairwise histograms of the angle differences and the cross ratios of the lengths of line segments extracted from the raw aerial images. We investigate several alternative ways of performing histogram comparison. Our conclusion is that the Matusita and Bhattachargya distances provide significant performance advantages over the L/sub 2/ norm employed by M. Swain and D. Ballard (1990). Moreover, a sensitivity analysis reveals that the angle difference histogram provides the most discriminating index of line structure; it is robust both to image distortion on to the variable quality of input line segmentation.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116405803","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: 23

Real time tracking of borescope tip pose 实时跟踪管镜尖端姿势

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 Pub Date : 1996-12-02 DOI: 10.1109/ACV.1996.572016

Ken Martin, C. Stewart

{"title":"Real time tracking of borescope tip pose","authors":"Ken Martin, C. Stewart","doi":"10.1109/ACV.1996.572016","DOIUrl":"https://doi.org/10.1109/ACV.1996.572016","url":null,"abstract":"The authors present a technique for the real-time tracking of borescope tip pose. While borescopes are used on a regular basis to inspect machinery for wear or damage, knowing the exact location of a borescope is difficult due to its flexibility. They present a technique for incremental borescope pose determination consisting of off-line feature extraction and on-line pose determination. The feature extraction precomputes from a CAD model of the object the features visible in a selected set of views. The on-line pose determination starts from a current pose estimate, determines the visible model features, projects them into a two-dimensional image coordinate system, matches each to the current borescope video image (without explicitly extracting features from this image), and uses the differences between the predicted and matched feature positions in a gradient descent technique to iteratively refine the pose estimate. The approach supports the mixed use of both matched feature positions and errors along the gradient within the pose determination. The on-line system is designed to execute at video frame rates, providing a continual indication of borescope tip pose.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117231184","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