Proceedings Fifth IEEE Workshop on Applications of Computer Vision最新文献_第3页

Bootstrap a statistical brain atlas 引导统计脑图谱

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895411

Mei Chen, T. Kanade, D. Pomerleau

{"title":"Bootstrap a statistical brain atlas","authors":"Mei Chen, T. Kanade, D. Pomerleau","doi":"10.1109/WACV.2000.895411","DOIUrl":"https://doi.org/10.1109/WACV.2000.895411","url":null,"abstract":"Registration of medical images enables quantitative study of anatomical differences between populations, as well as detection of abnormal variations indicative of pathologies. However inherent anatomical variabilities between individuals and possible pathologies make registration difficult. This paper presents a bootstrap strategy for characterizing non-pathological variations in human brain anatomy, as well its application to achieve accurate 3-D deformable registration. Inherent anatomical variations are initially extracted by deformably registering training data with an expert-segmented 3-D image, a digital brain atlas. Statistical properties of the density and geometric variations in brain anatomy are extracted and encoded into the atlas to build a statistical atlas. These statistics are then used as prior knowledge to guide the deformation process. A bootstrap loop is formed by registering the statistical atlas to larger training sets as more data becomes available, so as to ensure more robust knowledge extraction, and to achieve more precise registration. Compared to an algorithm with no knowledge guidance, registration using the statistical atlas reduces the overall error by 34%.","PeriodicalId":306720,"journal":{"name":"Proceedings Fifth IEEE Workshop on Applications of Computer Vision","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134007608","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: 4

Decision combination of multiple classifiers for pattern classification: hybridisation of majority voting and divide and conquer techniques 模式分类中多分类器的决策组合:多数投票和分而治之技术的混合

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895403

F. Rahman, M. Fairhurst

引用次数: 15

Customizable MPEG-4 face player using real-time 2D image sequence 可定制的MPEG-4人脸播放器，使用实时2D图像序列

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895408

M. Shin, Dmitry Goldgof, Carlos Kim, J. Zhong, Dongbai Guo

引用次数: 2

A scheme for road extraction in rural areas and its evaluation 农村道路提取方案及其评价

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895414

S. Hinz, C. Wiedemann, A. Baumgartner

引用次数: 11

Fingerprint image matching by minimization of a thin-plate energy using a two-step algorithm with auxiliary variables 一种带辅助变量的薄板能量最小化指纹图像匹配算法

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895400

Andrés Almansa, L. Cohen

引用次数: 55

Removal of interfering strokes in double-sided document images 去除双面文档图像中的干扰笔画

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895397

C. Tan, Ruini Cao, Peiyi Shen, Qian Wang, Julia Chee, J. Chang

引用次数: 41

Analysis of traffic flow in urban areas using web cameras 基于网络摄像头的城市交通流分析

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-04 DOI: 10.1109/WACV.2000.895415

S. Santini

引用次数: 29

Robust fingerprint authentication using local structural similarity 基于局部结构相似性的鲁棒指纹认证

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-01 DOI: 10.1109/WACV.2000.895399

N. Ratha, R. Bolle

引用次数: 212

Film line scratch removal using Kalman filtering and Bayesian restoration 用卡尔曼滤波和贝叶斯复原去除胶片线划痕

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 2000-12-01 DOI: 10.1109/WACV.2000.895396

L. Joyeux, S. Boukir, B. Besserer

引用次数: 51

The view-cube: an efficient method of view planning for 3D modelling from range data 视图立方体:一种有效的基于距离数据的三维建模视图规划方法

Proceedings Fifth IEEE Workshop on Applications of Computer Vision Pub Date : 1900-01-01 DOI: 10.1109/WACV.2000.895421

K. Klein, V. Sequeira

{"title":"The view-cube: an efficient method of view planning for 3D modelling from range data","authors":"K. Klein, V. Sequeira","doi":"10.1109/WACV.2000.895421","DOIUrl":"https://doi.org/10.1109/WACV.2000.895421","url":null,"abstract":"When aiming at the automated reconstruction of real world scenes from range images, one has to address the problem of planning the image acquisition. Although solutions for small objects in well defined environments are already available, the insufficient scalability of these approaches to large scenes and to a high number of degrees of freedom limits their applicability. In this paper we present a new planning algorithm with emphasis on practical usability in initially unknown, large indoor environments. Using a surface representation of seen and unseen parts of the environment, we propose an objective function based on the analysis of occlusions. In addition to previous approaches, we take into account both a quality criterion and the cost of the next acquisition. By optimising this objective function, the parameters of the next view are computed efficiently for a large search space with eight degrees of freedom (3D position, viewing direction, field of view, and resolution). Our technique exploits hardware-accelerated rendering (OpenGL) in order to perform the expensive visibility computation, which reduces the computation time of one planning step to a couple of minutes. Results are shown for two large indoor scenes-an artificial scene and a real world room-with numerous self occlusions.","PeriodicalId":306720,"journal":{"name":"Proceedings Fifth IEEE Workshop on Applications of Computer Vision","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123876839","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