2010 Canadian Conference on Computer and Robot Vision最新文献

Semi-Automatic Prediction of Landmarks on Human Models in Varying Poses 不同姿态人体模型上地标的半自动预测

2010 Canadian Conference on Computer and Robot Vision Pub Date : 2010-05-31 DOI: 10.1109/CRV.2010.25

S. Wuhrer, Z. B. Azouz, Chang Shu

引用次数: 16

A Computer Vision System for Analyzing and Interpreting the Cephalo-ocular Behavior of Drivers in a Simulated Driving Context 在模拟驾驶环境中分析和解释驾驶员头眼行为的计算机视觉系统

2010 Canadian Conference on Computer and Robot Vision Pub Date : 2010-05-31 DOI: 10.1109/CRV.2010.35

S. Metari, F. Prel, T. Moszkowicz, D. Laurendeau, N. Teasdale, S. Beauchemin

引用次数: 0

A Comparison of the EKF, SPKF, and the Bayes Filter for Landmark-Based Localization 基于地标定位的EKF、SPKF和Bayes滤波器的比较

2010 Canadian Conference on Computer and Robot Vision Pub Date : 2010-05-31 DOI: 10.1109/CRV.2010.33

Chi Hay Tong, T. Barfoot

引用次数: 9

Decoupled Active Surface for Volumetric Image Segmentation 解耦活动曲面用于体积图像分割

2010 Canadian Conference on Computer and Robot Vision Pub Date : 2010-05-31 DOI: 10.1109/CRV.2010.45

A. Mishra, P. Fieguth, David A Clausi

{"title":"Decoupled Active Surface for Volumetric Image Segmentation","authors":"A. Mishra, P. Fieguth, David A Clausi","doi":"10.1109/CRV.2010.45","DOIUrl":"https://doi.org/10.1109/CRV.2010.45","url":null,"abstract":"Finding the surface of a volumetric 3D object is a fundamental problem in computer vision. Energy minimizing splines, such as active surfaces, have been used to carry out such tasks, evolving under the influence of internal and external energies until the model converges to a desired surface. The present deformable model based surface extraction techniques are computationally expensive and are generally unreliable in identifying the surfaces of noisy, high-curvature and cluttered 3D objects. This paper proposes a novel decoupled active surface (DAS) for identifying the surface of volumetric 3D objects. The proposed DAS introduces two novel aspects which leads to robust, efficient and accurate convergence. First, rather than a parameterized surface, which leads to difficulties with complex shapes and parameter singularities, the DAS uses a conforming triangular mesh to represent the surface. Second, motivated by earlier successes in two-dimensional segmentation, the DAS treats the two energy components separately and uses novel solution techniques to efficiently minimize the two energy terms separately. The performance of DAS in segmenting static 3D objects is presented using several natural and synthetic volumetric images, with excellent convergence results.","PeriodicalId":358821,"journal":{"name":"2010 Canadian Conference on Computer and Robot Vision","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125216072","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: 2

Deformable Object Segmentation and Contour Tracking in Image Sequences Using Unsupervised Networks 基于无监督网络的图像序列可变形目标分割和轮廓跟踪

2010 Canadian Conference on Computer and Robot Vision Pub Date : 2010-05-31 DOI: 10.1109/CRV.2010.43

A. Crétu, E. Petriu, P. Payeur, Fouad F. Khalil

引用次数: 16

Mammogram Image Superresolution Based on Statistical Moment Analysis 基于统计矩分析的乳房x线图像超分辨率

2010 Canadian Conference on Computer and Robot Vision Pub Date : 2010-05-31 DOI: 10.1109/CRV.2010.51

A. Wong, A. Mishra, David A Clausi, P. Fieguth

{"title":"Mammogram Image Superresolution Based on Statistical Moment Analysis","authors":"A. Wong, A. Mishra, David A Clausi, P. Fieguth","doi":"10.1109/CRV.2010.51","DOIUrl":"https://doi.org/10.1109/CRV.2010.51","url":null,"abstract":"A novel super resolution method for enhancing the resolution of mammogram images based on statistical moment analysis (SMA) has been designed and implemented. The proposed SMA method enables high resolution mammogram images to be produced at lower levels of radiation exposure to the patient. The SMA method takes advantage of the statistical characteristics of the underlying breast tissues being imaged to produce high resolution mammogram images with enhanced fine tissue details such that the presence of masses and micro calcifications can be more easily identified. In the SMA method, the super resolution problem is formulated as a constrained optimization problem using an adaptive third-order Markov prior model, and solved efficiently using a conjugate gradient approach. The priors are adapted based on the inter-pixel likelihoods of the first moment about zero (mean), second central moment (variance), and third and fourth standardized moments (skewness and kurtosis) from the low resolution images. Experimental results demonstrate the effectiveness of the SMA method at enhancing fine tissue details when compared to existing resolution enhancement methods.","PeriodicalId":358821,"journal":{"name":"2010 Canadian Conference on Computer and Robot Vision","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128267948","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: 2

Automatic Position Registration of Street-level Fisheye Images into Aerial Image Using Line Structures and Mutual Information 基于线结构和互信息的街道级鱼眼图像航拍图像位置自动配准

2010 Canadian Conference on Computer and Robot Vision Pub Date : 2010-05-31 DOI: 10.1109/CRV.2010.22

M. Zouqi, J. Samarabandu, Yanbo Zhou

引用次数: 1

Probabilistic Tracking of Pedestrian Movements via In-Floor Force Sensing 基于地板内力传感的行人运动概率跟踪

2010 Canadian Conference on Computer and Robot Vision Pub Date : 2010-05-31 DOI: 10.1109/CRV.2010.26

R. Rajalingham, Y. Visell, J. Cooperstock

引用次数: 11

Matching Maximally Stable Extremal Regions Using Edge Information and the Chamfer Distance Function 利用边缘信息和倒角距离函数匹配最稳定的极值区域

2010 Canadian Conference on Computer and Robot Vision Pub Date : 2010-05-31 DOI: 10.1109/CRV.2010.10

P. Elinas

引用次数: 2

Selecting and Commanding Individual Robots in a Multi-Robot System 多机器人系统中个体机器人的选择与指挥

2010 Canadian Conference on Computer and Robot Vision Pub Date : 2010-05-31 DOI: 10.1109/CRV.2010.28

Alex Couture-Beil, R. Vaughan, Greg Mori

引用次数: 32