2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission最新文献_第4页

Temporally-Consistent Phase Unwrapping for a Stereo-Assisted Structured Light System 立体辅助结构光系统的时间一致相位展开

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.56

Ricardo R. Garcia, A. Zakhor

引用次数: 5

Image-Space Marker Detection and Recognition Using Projective Invariants 基于投影不变量的图像空间标记检测与识别

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.55

Filippo Bergamasco, A. Albarelli, A. Torsello

{"title":"Image-Space Marker Detection and Recognition Using Projective Invariants","authors":"Filippo Bergamasco, A. Albarelli, A. Torsello","doi":"10.1109/3DIMPVT.2011.55","DOIUrl":"https://doi.org/10.1109/3DIMPVT.2011.55","url":null,"abstract":"Visual marker systems have become an ubiquitous tool to supply a reference frame onto otherwise general scenes. Throughout the last decades, a wide range of different approaches have emerged, each one endowed with different strengths and limitations. Some techniques adopt tags that are optimized to reach a high accuracy in the recovered camera pose, others are based on designs that aim to maximizing the detection speed or minimizing the effect of occlusion on the detection process. Most of them, however, employ a two step procedure where an initial homography estimation is used to translate the marker from the image plane to an orthonormal world where it is validated and recognized. With this paper, we present a general purpose fiducial marker system that allows to perform both steps directly in image-space. Specifically, by exploiting projective invariants such as collinearity and cross ratios, we introduce a detection and recognition algorithm that is fast, accurate and moderately robust to occlusion. The overall performance of the system is evaluated in an extensive experimental section, where a comparison with a well-known baseline technique is presented.","PeriodicalId":330003,"journal":{"name":"2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131039767","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: 21

Speeding up Cloth Simulation by Linearizing the Bending Function of the Physical Mass-Spring Model 物理质量-弹簧模型弯曲函数线性化加速布料仿真

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.20

Asmaa Elbadrawy, E. Hemayed

引用次数: 6

Human Body Shape Prediction and Analysis Using Predictive Clustering Tree 基于预测聚类树的人体形状预测与分析

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.32

P. Xi, Hongyu Guo, Chang Shu

引用次数: 8

Lightweight 3D Modeling of Urban Buildings from Range Data 基于距离数据的城市建筑轻量级3D建模

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.23

Weihong Li, G. Wolberg, Siavash Zokai

{"title":"Lightweight 3D Modeling of Urban Buildings from Range Data","authors":"Weihong Li, G. Wolberg, Siavash Zokai","doi":"10.1109/3DIMPVT.2011.23","DOIUrl":"https://doi.org/10.1109/3DIMPVT.2011.23","url":null,"abstract":"Laser range scanners are widely used to acquire accurate scene measurements. The massive point clouds they generate, however, present challenges to efficient modeling and visualization. State-of-the-art techniques for generating 3D models from voluminous range data is well-known to demand large computational and storage requirements. In this paper, attention is directed to the modeling of urban buildings directly from range data. We present an efficient modeling algorithm that exploits a priori knowledge that buildings can be modeled from cross-sectional contours using extrusion and tapering operations. Inspired by this simple workflow, we identify key cross-sectional slices among the point cloud. These slices capture changes across the building facade along the principal axes. Standard image processing algorithms are used to remove noise, fill missing data, and vectorize the projected points into planar contours. Applying extrusion and tapering operations to these contours permits us to achieve dramatic geometry compression, making the resulting models suitable for web-based applications such as Google Earth or Microsoft Virtual Earth. This work has applications in architecture, urban design, virtual city touring, and online gaming. We present experimental results on synthetic and real urban building datasets to validate the proposed algorithm.","PeriodicalId":330003,"journal":{"name":"2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128714582","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: 8

Robust ICP Registration Using Biunique Correspondence 使用双唯一通信的鲁棒ICP注册

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.18

Lei Zhang, Sung-In Choi, Soon-Yong Park

引用次数: 39

Real-Time Accurate Stereo Matching Using Modified Two-Pass Aggregation and Winner-Take-All Guided Dynamic Programming 基于改进两步聚合和赢家通吃的动态规划的实时精确立体匹配

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.17

Xuefeng Chang, Zhong Zhou, Liang Wang, Ying Shi, Qinping Zhao

引用次数: 26

Procedural 3D Building Reconstruction Using Shape Grammars and Detectors 程序三维建筑重建使用形状语法和检测器

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.45

Markus Mathias, Andelo Martinovic, Julien Weissenberg, L. Gool

引用次数: 52

Multi-target Tracking and Segmentation via Discriminative Appearance Model 基于判别外观模型的多目标跟踪与分割

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.19

Guangxia Li, Mingmin Zhang, Yang Li, Zhigeng Pan, W. Zhang

引用次数: 0

Accurate Estimation of Gaussian and Mean Curvature in Volumetric Images 体积图像中高斯曲率和平均曲率的精确估计

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.46

Erik L. G. Wernersson, C. L. Hendriks, Anders Brun

引用次数: 14