Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007)最新文献

Deformable Registration of Textured Range Images by Using Texture and Shape Features 利用纹理和形状特征实现纹理范围图像的形变配准

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.18

R. Sagawa, Nanaho Osawa, Y. Yagi

引用次数: 7

Online Registration of Multi-view Range Images using Geometric and Photometric Feature Tracking 基于几何和光度特征跟踪的多视距图像在线配准

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.36

Soon-Yong Park, Jaewon Baek

引用次数: 5

Silhouette Extraction with Random Pattern Backgrounds for the Volume Intersection Method 基于随机图案背景的体交法轮廓提取

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.48

M. Toyoura, M. Iiyama, K. Kakusho, M. Minoh

{"title":"Silhouette Extraction with Random Pattern Backgrounds for the Volume Intersection Method","authors":"M. Toyoura, M. Iiyama, K. Kakusho, M. Minoh","doi":"10.1109/3DIM.2007.48","DOIUrl":"https://doi.org/10.1109/3DIM.2007.48","url":null,"abstract":"In this paper, we present a novel approach for extracting silhouettes by using a particular pattern that we call the random pattern. The volume intersection method reconstructs the shapes of 3D objects from their silhouettes obtained with multiple cameras. With the method, if some parts of the silhouettes are missed, the corresponding parts of the reconstructed shapes are also missed. When colors of the objects and the backgrounds are similar, many parts of the silhouettes are missed. We adopt random pattern backgrounds to extract correct silhouettes. The random pattern has many small regions with randomly-selected colors. By using the random pattern backgrounds, we can keep the rate of missing parts below a specified percentage, even for objects of unknown color. To refine the silhouettes, we detect and fill in the missing parts by integrating multiple images. From the images captured by multiple cameras used to observe the object, the object's colors can be estimated. The missing parts can be detected by comparing the object's color with its corresponding background's color. In our experiments, we confirmed that this method effectively extracts silhouettes and reconstructs 3D shapes.","PeriodicalId":442311,"journal":{"name":"Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122553762","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

Image-based Model Completion 基于图像的模型补全

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.29

A. Brunton, S. Wuhrer, Chang Shu

引用次数: 6

Tracking of Human Body Parts using the Multiocular Contracting Curve Density Algorithm 基于多眼收缩曲线密度算法的人体部位跟踪

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.59

Markus Hahn, Lars Krüger, C. Wöhler, H. Groß

{"title":"Tracking of Human Body Parts using the Multiocular Contracting Curve Density Algorithm","authors":"Markus Hahn, Lars Krüger, C. Wöhler, H. Groß","doi":"10.1109/3DIM.2007.59","DOIUrl":"https://doi.org/10.1109/3DIM.2007.59","url":null,"abstract":"In this contribution we introduce the multiocular contracting curve density algorithm (MOCCD), a novel method for fitting a 3D parametric curve. The MOCCD is integrated into a tracking system and its suitability for tracking human body parts in 3D in front of cluttered background is examined. The developed system can be applied to a variety of body parts, as the object model is replaceable in a simple manner. Based on the example of tracking the human hand-forearm limb it is shown that the use of three MOCCD algorithms with three different kinematic models within the system leads to an accurate and temporally stable tracking. All necessary information is obtained from the images, only a coarse initialisation of the model parameters is required. The investigations are performed on 14 real-world test sequences. These contain movements of different hand-forearm configurations in front of a complex cluttered background. We find that the use of three cameras is essential for an accurate and temporally stable system performance since otherwise the pose estimation and tracking results are strongly affected by the aperture problem. Our best method achieves 95% recognition rate, compared to about 30% for the reference methods of 3D active contours and a curve model tracked by a particle filter. Hence only 5% of the estimated model points exceed a distance of 12 cm with respect to the ground truth, using the proposed method.","PeriodicalId":442311,"journal":{"name":"Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007)","volume":"263 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127836062","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: 12

Discrete Delaunay: Boundary extraction from voxel objects 离散Delaunay:体素对象的边界提取

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.21

Dobrina Boltcheva, D. Bechmann, S. Thery

引用次数: 5

Joint Reconstruction and Registration of a Deformable Planar Surface Observed by a 3D Sensor 三维传感器观测可变形平面的关节重建与配准

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.31

U. Castellani, V. Gay-Bellile, A. Bartoli

引用次数: 10

Surface Modelling of Plants from Stereo Images 基于立体图像的植物表面建模

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.55

Yu Song, R. Wilson, R. Edmondson, N. Parsons

引用次数: 25

Light Transport Analysis for 3D Photography 三维摄影的光输运分析

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.33

Kiriakos N. Kutulakos

引用次数: 1

Estimating the Location of a Camera with Respect to a 3D Model 估计相机相对于3D模型的位置

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.23

G. Yang, Jacob Becker, C. Stewart

{"title":"Estimating the Location of a Camera with Respect to a 3D Model","authors":"G. Yang, Jacob Becker, C. Stewart","doi":"10.1109/3DIM.2007.23","DOIUrl":"https://doi.org/10.1109/3DIM.2007.23","url":null,"abstract":"An algorithm is presented to estimate the position of a hand-held camera with respect to a 3d world model constructed from range data and color imagery. Little prior knowledge is assumed about the camera position. The algorithm includes stages that (1) generate an ordered set of initial model-to-image mapping estimates, each accurate only in a small region of the image and of the model, (2) refinement of each initial estimate through a combination of 3d-to-2d matching, robust parameter estimation, region growth, and model selection, and (3) testing the resulting projections for accuracy, stability and randomness. A key issue during stage (2) is that initially the model-to-image mapping is well-approximated by a 2d-to-2d transformation based on a local model surface approximation, but eventually the algorithm must transition to the 3d-to-2d projection necessary to solve the position estimation problem. The algorithm accomplishes this by expanding the region along the approximation surface first and then making a transition to expand fully in 3d. The overall algorithm is shown to effectively determine the location of the camera over a 100 m x 100 m area of our campus.","PeriodicalId":442311,"journal":{"name":"Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125120460","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: 31