Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007)最新文献_第5页

A Bayesian Framework for Simultaneous Matting and 3D Reconstruction 同时抠图和三维重建的贝叶斯框架

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.3

Jean-Yves Guillemaut, A. Hilton, J. Starck, J. Kilner, O. Grau

引用次数: 21

Pose Determination By PotentialWell Space Embedding 基于势阱空间嵌入的姿态确定

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.40

Limin Shang, M. Greenspan

{"title":"Pose Determination By PotentialWell Space Embedding","authors":"Limin Shang, M. Greenspan","doi":"10.1109/3DIM.2007.40","DOIUrl":"https://doi.org/10.1109/3DIM.2007.40","url":null,"abstract":"A novel algorithm is introduced to estimate the pose of objects from sparse range data. Pose determination is tackled by employing the ICP algorithm to find corresponding local minima between a preprocessed model and the runtime data. Unlike other existing algorithms that try to avoid local minima, here local minima are used as effective feature vectors for generating multiple hypotheses of the pose. These hypotheses are then examined and verified using the bounded Hough transform, which is more robust than using the registration error directly. Only a small number of iterations (e.g., 5) is needed for each ICP at both preprocessing and runtime, which makes the technique efficient. The algorithm has been implemented and tested on a variety of objects, including freeform models, using both simulated and real data from Lidar and stereovision sensors. The experimental results show the technique to be both effective and efficient, executing at multiple frames per second on standard hardware. In addition, it functions well with very sparse data, possibly comprising only hundreds of points per frame, and it is also robust to measurement error and outliers.","PeriodicalId":442311,"journal":{"name":"Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007)","volume":"47 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":"134300924","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: 11

Three-dimensional reconstruction using the perpendicularity constraint 利用垂直度约束进行三维重建

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.58

B. Boufama, A. Habed

引用次数: 3

Dual-Mode Deformable Models for Free-Viewpoint Video of Sports Events 体育赛事自由视点视频的双模变形模型

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.22

J. Kilner, J. Starck, A. Hilton, O. Grau

引用次数: 20

Robust 2D-3D alignment based on geometrical consistency 基于几何一致性的鲁棒2D-3D对齐

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.44

K. Hara, Yuuki Kabashima, Y. Iwashita, R. Kurazume, T. Hasegawa

{"title":"Robust 2D-3D alignment based on geometrical consistency","authors":"K. Hara, Yuuki Kabashima, Y. Iwashita, R. Kurazume, T. Hasegawa","doi":"10.1109/3DIM.2007.44","DOIUrl":"https://doi.org/10.1109/3DIM.2007.44","url":null,"abstract":"This paper presents a new registration algorithm of a 2D image and a 3D geometrical model, which is robust for initial registration errors, for reconstructing a realistic 3D model of indoor scene settings. One of the typical techniques of pose estimation of a 3D model in a 2D image is the method based on the correspondences between 2D photometrical edges and 3D geometrical edges projected on the 2D image. However, for indoor settings, features extracted on the 2D image and jump edges of the geometrical model, which can be extracted robustly, are limited. Therefore, it is difficult to find corresponding edges between the 2D image and the 3D model correctly. For this reason, in most cases, the relative position has to be manually set close to correct position beforehand. To overcome this problem, in the proposed method, first the relative pose is roughly estimated by utilizing geometrical consistencies of back-projected 2D photometrical edges on a 3D model. Next, the edge-based method is applied for the precise pose estimation after the above estimation procedure is converged. The performance of the proposed method is successfully demonstrated with some experiments using simulated models of indoor scene settings and actual environments measured by range and image sensors.","PeriodicalId":442311,"journal":{"name":"Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007)","volume":"38 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":"132415013","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: 5

Automatic Registration for Model Building using Variable Dimensional Local Shape Descriptors 基于变维局部形状描述符的模型构建自动配准

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.14

B. Taati, M. Bondy, P. Jasiobedzki, M. Greenspan

{"title":"Automatic Registration for Model Building using Variable Dimensional Local Shape Descriptors","authors":"B. Taati, M. Bondy, P. Jasiobedzki, M. Greenspan","doi":"10.1109/3DIM.2007.14","DOIUrl":"https://doi.org/10.1109/3DIM.2007.14","url":null,"abstract":"A new set of variable dimensional local shape descriptors for 3D registration is proposed and applied to 3D model building from range images. The descriptors are based on a large set of properties represented as high dimensional histograms. The novelty of the method is two fold: first, it offers a generalized platform for a large class of local shape descriptors; second, unlike previously devised descriptors that are of low dimensionality and compact size, these descriptors are high dimensional and highly discriminating. The new approach suggests investing more into descriptor generation and comparison and in return gaining a higher percentage of inliers in the set of hypothesized point matches across the images being registered. This in turn drastically reduces the required number of RANSAC iterations for finding the alignment between two images, as is confirmed by experimentation in a 3D model building application. It is also shown that the correct choice of properties can increase the effectiveness of feature correspondences, thereby increasing the possible acquisition angle between overlapping images.","PeriodicalId":442311,"journal":{"name":"Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007)","volume":"29 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":"128737626","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

Automatic Pose Estimation for Range Images on the GPU 自动姿态估计的范围图像在GPU上

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.13

Marcel Germann, Michael D. Breitenstein, H. Pfister, I. Park

引用次数: 30

Data-Driven Feature-Based 3D Face Synthesis 基于数据驱动特征的3D人脸合成

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-21 DOI: 10.1109/3DIM.2007.17

Yu Zhang, Shuhong Xu

引用次数: 4

A Tensor Algebraic Approach to Image Synthesis, Analysis and Recognition 图像合成、分析与识别的张量代数方法

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2007-08-01 DOI: 10.1109/3DIM.2007.9

M. Alex O. Vasilescu, Demetri Terzopoulos

{"title":"A Tensor Algebraic Approach to Image Synthesis, Analysis and Recognition","authors":"M. Alex O. Vasilescu, Demetri Terzopoulos","doi":"10.1109/3DIM.2007.9","DOIUrl":"https://doi.org/10.1109/3DIM.2007.9","url":null,"abstract":"We review our multilinear (tensor) algebraic framework for image synthesis, analysis, and recognition. Natural images result from the multifactor interaction between the imaging process, the illumination, and the scene geometry. Numerical multilinear algebra provides a principled approach to disentangling and explicitly representing the essential factors or modes of image ensembles. Our multilinear image modeling technique employs a tensor extension of the conventional matrix singular value decomposition (SVD), known as the N-mode SVD. This leads us to a multilinear generalization of principal components analysis (PCA) and a novel multilinear generalization of independent components analysis (ICA). As example applications, we tackle currently significant problems in computer graphics, computer vision, and pattern recognition. In particular, we address image-based rendering, specifically the multilinear synthesis of images of textured surfaces for varying viewpoint and illumination, as well as the multilinear analysis and recognition of facial images under variable face shape, view, and illumination conditions. These new multilinear (tensor) algebraic methods outperform their conventional linear (matrix) algebraic counterparts.","PeriodicalId":442311,"journal":{"name":"Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128668893","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: 3

Outlier Robust ICP for Minimizing Fractional RMSD 最小分数RMSD的离群鲁棒ICP

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007) Pub Date : 2006-06-22 DOI: 10.1109/3DIM.2007.39

J. M. Phillips, Ran Liu, Carlo Tomasi

引用次数: 177