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

Visual Words for 3D Reconstruction and Pose Computation 用于三维重建和姿态计算的视觉词

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.48

S. K., M. Berger, F. Sur

引用次数: 10

Real Time Detection of Repeated Structures in Point Clouds of Urban Scenes 城市场景点云中重复结构的实时检测

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.35

Sam Friedman, I. Stamos

引用次数: 17

Finding the Best Feature Detector-Descriptor Combination 寻找最佳特征检测器-描述符组合

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.47

A. Dahl, H. Aanæs, K. S. Pedersen

{"title":"Finding the Best Feature Detector-Descriptor Combination","authors":"A. Dahl, H. Aanæs, K. S. Pedersen","doi":"10.1109/3DIMPVT.2011.47","DOIUrl":"https://doi.org/10.1109/3DIMPVT.2011.47","url":null,"abstract":"Addressing the image correspondence problem by feature matching is a central part of computer vision and 3D inference from images. Consequently, there is a substantial amount of work on evaluating feature detection and feature description methodology. However, the performance of the feature matching is an interplay of both detector and descriptor methodology. Our main contribution is to evaluate the performance of some of the most popular descriptor and detector combinations on the DTU Robot dataset, which is a very large dataset with massive amounts of systematic data aimed at two view matching. The size of the dataset implies that we can also reasonably make deductions about the statistical significance of our results. We conclude, that the MSER and Difference of Gaussian (DoG) detectors with a SIFT or DAISY descriptor are the top performers. This performance is, however, not statistically significantly better than some other methods. As a byproduct of this investigation, we have also tested various DAISY type descriptors, and found that the difference among their performance is statistically insignificant using this dataset. Furthermore, we have not been able to produce results collaborating that using affine invariant feature detectors carries a statistical significant advantage on general scene types.","PeriodicalId":330003,"journal":{"name":"2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission","volume":"275 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":"127550871","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: 57

Hierarchical Shape Matching for Temporally Consistent 3D Video 时间一致性3D视频的分层形状匹配

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.29

C. Budd, Peng Huang, A. Hilton

引用次数: 16

Calibration of Nodal and Free-Moving Cameras in Dynamic Scenes for Post-Production 动态场景中节点和自由移动摄像机的后期校正

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.40

E. Imre, Jean-Yves Guillemaut, A. Hilton

引用次数: 12

Efficient Generation of Multi-perspective Panoramas 高效的多视角全景生成

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.60

Enliang Zheng, R. Raguram, P. Georgel, Jan-Michael Frahm

{"title":"Efficient Generation of Multi-perspective Panoramas","authors":"Enliang Zheng, R. Raguram, P. Georgel, Jan-Michael Frahm","doi":"10.1109/3DIMPVT.2011.60","DOIUrl":"https://doi.org/10.1109/3DIMPVT.2011.60","url":null,"abstract":"In this paper, we present an efficient technique for generating multi-perspective panoramic images of long scenes. The input to our system is a video sequence captured by a moving camera navigating through a long scene, and our goal is to efficiently generate a panoramic summary of the scene. This problem has received considerable attention in recent years, leading to the development of a number of systems capable of generating high-quality panoramas. However, a significant limitation of current systems is their computational complexity: most current techniques employ computationally expensive algorithms (such as structure-from-motion and dense stereo), or require some degree of manual interaction. In turn, this limits the scalability of the algorithms as well as their ease of implementation. In contrast, the technique we present is simple, efficient, easy to implement, and produces results of comparable quality to state of the art techniques, while doing so at a fraction of the computational cost. Our system operates entirely in the 2D image domain, performing robust image alignment and optical flow based mosaicing, in lieu of more expensive 3D pose/structure computation. We demonstrate the effectiveness of our system on a number of challenging image sequences.","PeriodicalId":330003,"journal":{"name":"2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission","volume":"31 1 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":"116338054","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: 13

A System for Capturing Textured 3D Shapes Based on One-Shot Grid Pattern with Multi-band Camera and Infrared Projector 基于单镜头网格模式的多波段相机和红外投影仪纹理三维形状捕捉系统

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.61

Kazuhiro Sakashita, Y. Yagi, R. Sagawa, Furukawa Ryo, Hiroshi Kawasaki

{"title":"A System for Capturing Textured 3D Shapes Based on One-Shot Grid Pattern with Multi-band Camera and Infrared Projector","authors":"Kazuhiro Sakashita, Y. Yagi, R. Sagawa, Furukawa Ryo, Hiroshi Kawasaki","doi":"10.1109/3DIMPVT.2011.61","DOIUrl":"https://doi.org/10.1109/3DIMPVT.2011.61","url":null,"abstract":"Recently, several method have been proposed to capture 3D shapes of a moving object at a high frame rate. One of promising approach to reconstruct a 3D shape is a projector-camera system that projects structured light pattern. One of the problem of this approach is that it has difficulty to obtain texture simultaneously because the texture is interfered by the illumination from the projector. The system proposed in this paper overcomes this issue by separating the light wavelength for texture and shape. The pattern is projected by using infrared light and the texture is captured by using visible light. If the cameras for infrared and visible lights are placed at different position, it causes the misalignment between texture and shape, which degrades the quality of the textured 3D model. Therefore, we developed a multi-band camera that acquires both visible and infrared lights from a single viewpoint. Moreover, to reconstruct a 3D shape using multiple wavelengths of light, namely multiple colors, an infrared pattern projector is developed to generate a multi-band grid pattern. Additionally, a simple method to calibrate the system is proposed by using a fixed grid pattern. Finally, we show the textured 3D shapes captured by the experimental system.","PeriodicalId":330003,"journal":{"name":"2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission","volume":"1 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":"116428246","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: 16

An Approach for Shape from Surface Normals with Local Discontinuity Detection 一种基于曲面法线的局部不连续检测方法

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.31

Yilin Wang, Enrique Dunn, Jan-Michael Frahm

{"title":"An Approach for Shape from Surface Normals with Local Discontinuity Detection","authors":"Yilin Wang, Enrique Dunn, Jan-Michael Frahm","doi":"10.1109/3DIMPVT.2011.31","DOIUrl":"https://doi.org/10.1109/3DIMPVT.2011.31","url":null,"abstract":"We present a multi-modal surface reconstruction approach, which utilizes direct surface orientation measurements along with luminance information to obtain high quality 3D reconstructions. The proposed approach models local surface geometry as a set of intersecting natural cubic splines estimated through least squares fitting of our input pixel-wise surface normal measurements. We use this representation to detect discontinuities and segment our scene into disjoint continuous surfaces, which are constructed by an aggregation of connected local surface geometry elements. In order to obtain absolute depth estimates, we introduce the concept of multi-view patch sweeping, where we search for the most photo-consistent patch displacement along a viewing ray. Our approach improves on existing shape from normals methods by enabling absolute depth estimates for scenes with multiple objects. Furthermore, in contrast to existing multi-view stereo methods, we are able to reconstruct textureless regions through the propagation of relative surface orientation measurements. Experiments on synthetic and real data are presented to validate our proposal.","PeriodicalId":330003,"journal":{"name":"2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission","volume":"29 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":"125857507","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: 0

3D Reconstruction of Interior Wall Surfaces under Occlusion and Clutter 遮挡和杂波条件下内墙表面的三维重建

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.42

A. Adán, Daniel F. Huber

引用次数: 173

An Enhanced 'Optimization-on-a-Manifold' Framework for Global Registration of 3D Range Data 一种增强的“流形优化”框架，用于3D距离数据的全局配准

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission Pub Date : 2011-05-16 DOI: 10.1109/3DIMPVT.2011.51

Francesco Bonarrigo, A. Signoroni

引用次数: 14