2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops最新文献_第2页

Tracking multiple pedestrians in real-time using kinematics 利用运动学实时跟踪多行人

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2008-06-23 DOI: 10.1109/CVPRW.2008.4563149

S. Apewokin, B. Valentine, M. R. Bales, L. Wills, D. S. Wills

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引用次数: 14

Improving RANSAC for fast landmark recognition 改进RANSAC快速地标识别

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2008-06-23 DOI: 10.1109/CVPRW.2008.4563138

Pablo Márquez-Neila, Jacobo Garcia Miro, J. M. Buenaposada, L. Baumela

引用次数: 20

A stable optic-flow based method for tracking colonoscopy images 一种基于稳定光流的结肠镜图像跟踪方法

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2008-06-23 DOI: 10.1109/CVPRW.2008.4562990

Jianfei Liu, K. Subramanian, T. Yoo, R. V. Uitert

{"title":"A stable optic-flow based method for tracking colonoscopy images","authors":"Jianfei Liu, K. Subramanian, T. Yoo, R. V. Uitert","doi":"10.1109/CVPRW.2008.4562990","DOIUrl":"https://doi.org/10.1109/CVPRW.2008.4562990","url":null,"abstract":"In this paper, we focus on the robustness and stability of our algorithm to plot the position of an endoscopic camera (during a colonoscopy procedure) on the corresponding pre-operative CT scan of the patient. The colon has few topological landmarks, in contrast to bronchoscopy images, where a number of registration algorithms have taken advantage of features such as anatomical marks or bifurcations. Our method estimates the camera motion from the optic-flow computed from the information contained in the video stream. Optic-flow computation is notoriously susceptible to errors in estimating the motion field. Our method relies on the following features to counter this, (1) we use a small but reliable set of feature points (sparse optic-flow field) to determine the spatio-temporal scale at which to perform optic-flow computation in each frame of the sequence, (2) the chosen scales are used to compute a more accurate dense optic flow field, which is used to compute qualitative parameters relating to the main motion direction, and (3) the sparse optic-flow field and the main motion parameters are then combined to estimate the camera parameters. A mathematical analysis of our algorithm is presented to illustrate the stability of our method, as well as comparison to existing motion estimation algorithms. We present preliminary results of using this algorithm on both a virtual colonoscopy image sequence, as well as a colon phantom image sequence.","PeriodicalId":102206,"journal":{"name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130333766","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: 22

Visual map matching and localization using a global feature map 使用全局特征图的视觉地图匹配和定位

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2008-06-23 DOI: 10.1109/CVPRW.2008.4563135

O. Pink

引用次数: 84

Experiments on visual loop closing using vocabulary trees 使用词汇树的视觉循环关闭实验

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2008-06-23 DOI: 10.1109/CVPRW.2008.4563140

Ankita Kumar, J. Tardif, Roy Anati, Kostas Daniilidis

引用次数: 16

Full orientation invariance and improved feature selectivity of 3D SIFT with application to medical image analysis 三维SIFT的全方向不变性和改进特征选择性及其在医学图像分析中的应用

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2008-06-23 DOI: 10.1109/CVPRW.2008.4563023

S. Allaire, John J. Kim, S. Breen, D. Jaffray, V. Pekar

引用次数: 123

Towards understanding what makes 3D objects appear simple or complex 理解是什么让3D物体看起来简单或复杂

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2008-06-23 DOI: 10.1109/CVPRW.2008.4562975

S. Sukumar, D. Page, A. Koschan, M. Abidi

引用次数: 21

CUDA cuts: Fast graph cuts on the GPU CUDA切割:GPU上的快速图形切割

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2008-06-23 DOI: 10.1109/CVPRW.2008.4563095

Vibhav Vineet, P J Narayanan

引用次数: 291

Automatic facial expression recognition for intelligent tutoring systems 用于智能辅导系统的自动面部表情识别

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2008-06-23 DOI: 10.1109/CVPRW.2008.4563182

J. Whitehill, M. Bartlett, J. Movellan

引用次数: 91

Spectral minutiae: A fixed-length representation of a minutiae set 谱细部:细部集的固定长度表示

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2008-06-23 DOI: 10.1109/CVPRW.2008.4563120

Hai-yun Xu, R. Veldhuis, T. Kevenaar, A. Akkermans, A. Bazen

引用次数: 54