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Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)最新文献

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Fast multiple-baseline stereo with occlusion 快速多基线立体遮挡
Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05) Pub Date : 2005-06-13 DOI: 10.1109/3DIM.2005.40
M. Drouin, Martin Trudeau, S. Roy
{"title":"Fast multiple-baseline stereo with occlusion","authors":"M. Drouin, Martin Trudeau, S. Roy","doi":"10.1109/3DIM.2005.40","DOIUrl":"https://doi.org/10.1109/3DIM.2005.40","url":null,"abstract":"This paper presents a new and fast algorithm for multi-baseline stereo designed to handle the occlusion problem. The algorithm is a hybrid between fast heuristic occlusion overcoming algorithms that precompute an approximate visibility and slower methods that use correct visibility handling. Our approach is based on iterative dynamic programming and computes simultaneously disparity and camera visibility. Interestingly, dynamic programming makes it possible to compute exactly part of the visibility information. The remainder is obtained through heuristics. The validity of our scheme is established using real imagery with ground truth and compares favorably with other state-of-the-art multi-baseline stereo algorithms.","PeriodicalId":170883,"journal":{"name":"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125977200","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
An improved calibration technique for coupled single-row telemeter and CCD camera 一种改进的单排遥测仪与CCD相机耦合标定技术
Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05) Pub Date : 2005-06-13 DOI: 10.1109/3DIM.2005.19
R. Dupont, R. Keriven, P. Fuchs
{"title":"An improved calibration technique for coupled single-row telemeter and CCD camera","authors":"R. Dupont, R. Keriven, P. Fuchs","doi":"10.1109/3DIM.2005.19","DOIUrl":"https://doi.org/10.1109/3DIM.2005.19","url":null,"abstract":"Toward a successful 3D and textural reconstruction of urban scenes, the use of both single-row based telemetric and photographic data in a same framework has proved to be a powerful technique. A necessary condition to obtain good results is to accurately calibrate the telemetric and photographic sensors together. We present a study of this calibration process and propose an improved extrinsic calibration technique. It is based on an existing technique which consists in scanning a planar pattern in several poses, giving a set of relative position and orientation constraints. The innovation is the use of a more appropriate laser beam distance between telemetric points and the planar target. Moreover, we use robust methods to manage outliers at several steps of the algorithm. Improved results on both theoretical and experimental data are given.","PeriodicalId":170883,"journal":{"name":"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128325960","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: 18
Contour point tracking by enforcement of rigidity constraints 基于刚性约束的轮廓点跟踪
Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05) Pub Date : 2005-06-13 DOI: 10.1109/3DIM.2005.27
Ricardo Oliveira, J. Costeira, J. Xavier
{"title":"Contour point tracking by enforcement of rigidity constraints","authors":"Ricardo Oliveira, J. Costeira, J. Xavier","doi":"10.1109/3DIM.2005.27","DOIUrl":"https://doi.org/10.1109/3DIM.2005.27","url":null,"abstract":"The aperture problem is one of the omnipresent issues in computer vision. Its local character constrains point matching to high textured areas, so that points in gradient-oriented regions (such as straight lines) can not be reliably matched. We propose a new method to overcome this problem by devising a global matching strategy under the factorization framework. We solve the n-frame correspondence problem under this context by assuming the rigidity of the scene. To this end, a geometric constraint is used that selects the matching solution resulting in a rank-4 observation matrix. The rank of the observation matrix is a function of the matching solutions associated to each image and as such a simultaneous solution for all frames has to be found. An optimization procedure is used in this text in order to find the solution.","PeriodicalId":170883,"journal":{"name":"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131607048","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
A flexible 3D modeling system based on combining shape-from-silhouette with light-sectioning algorithm 基于轮廓形与光切分算法相结合的柔性三维建模系统
Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05) Pub Date : 2005-06-13 DOI: 10.1109/3DIM.2005.8
T. Terauchi, Y. Oue, K. Fujimura
{"title":"A flexible 3D modeling system based on combining shape-from-silhouette with light-sectioning algorithm","authors":"T. Terauchi, Y. Oue, K. Fujimura","doi":"10.1109/3DIM.2005.8","DOIUrl":"https://doi.org/10.1109/3DIM.2005.8","url":null,"abstract":"In this paper we present a flexible modeling system for obtaining the texture-mapped 3D geometric model. The modeling system uses an algorithm combining shape-from-silhouette with light-sectioning. In the algorithm, at first, a rough shape model is obtained by shape-from-silhouette method almost automatically. Next, concavities and complex parts on the object surface are obtained by light-sectioning method with manual scanning. For applying light-sectioning method to volume data, we propose volumetric light-sectioning algorithm. Then our modeling system can realize easy and accurate generation of 3D geometric model.","PeriodicalId":170883,"journal":{"name":"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126233185","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: 10
Euclidean reconstruction from translational motion using multiple cameras 利用多摄像机从平移运动中进行欧几里得重建
Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05) Pub Date : 2005-06-13 DOI: 10.1109/3DIM.2005.36
Pär Hammarstedt, A. Heyden
{"title":"Euclidean reconstruction from translational motion using multiple cameras","authors":"Pär Hammarstedt, A. Heyden","doi":"10.1109/3DIM.2005.36","DOIUrl":"https://doi.org/10.1109/3DIM.2005.36","url":null,"abstract":"We investigate the possibility of Euclidean reconstruction from translational motion, using multiple uncalibrated cameras. We show that in the case of multiple cameras viewing a translating scene, no additional constraints are given by the translational motion compared to the more general case with one camera viewing a scene undergoing a general motion. However, the knowledge of translational motion allows an intermediate affine reconstruction from each camera, and aids in the reconstruction process by simplifying several steps, resulting in a more reliable algorithm for 3D reconstruction. We also identify the critical directions of translation, for which no affine reconstruction is possible. Experiments on real and simulated data are performed to illustrate that the method works in practice.","PeriodicalId":170883,"journal":{"name":"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125691661","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
A mechanism for range image integration without image registration 一种不需要图像配准的距离图像集成机制
Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05) Pub Date : 2005-06-13 DOI: 10.1109/3DIM.2005.10
L. Zagorchev, A. Goshtasby
{"title":"A mechanism for range image integration without image registration","authors":"L. Zagorchev, A. Goshtasby","doi":"10.1109/3DIM.2005.10","DOIUrl":"https://doi.org/10.1109/3DIM.2005.10","url":null,"abstract":"A mechanism is introduced that automatically integrates multi-view range images without registering the images. The mechanism is based on a reference double-frame that acts as the coordinate system of the scene. A single-view range image of a scene is obtained by sweeping a laser line over the scene by hand and analyzing the acquired light stripes. Range images captured from different views of the scene are in the coordinate system of the double-frame, and thus, automatically integrate without further processing.","PeriodicalId":170883,"journal":{"name":"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133859540","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
3D models from extended uncalibrated video sequences: addressing key-frame selection and projective drift 从扩展的未校准视频序列的3D模型:解决关键帧选择和投影漂移
Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05) Pub Date : 2005-06-13 DOI: 10.1109/3dim.2005.4
Jason Repko, M. Pollefeys
{"title":"3D models from extended uncalibrated video sequences: addressing key-frame selection and projective drift","authors":"Jason Repko, M. Pollefeys","doi":"10.1109/3dim.2005.4","DOIUrl":"https://doi.org/10.1109/3dim.2005.4","url":null,"abstract":"In this paper, we present an approach that is able to reconstruct 3D models from extended video sequences captured with an uncalibrated hand-held camera. We focus on two specific issues: (1) key-frame selection; and (2) projective drift. Given a long video sequence it is often not practical to work with all video frames. In addition, to allow for effective outlier rejection and motion estimation it is necessary to have a sufficient baseline between frames. For this purpose, we propose a key-frame selection procedure based on a robust model selection criterion. Our approach guarantees that the camera motion can be estimated reliably by analyzing the feature correspondences between three consecutive views. Another problem for long uncalibrated video sequences is projective drift. Error accumulation leads to a non-projective distortion of the model. This causes the projective basis at the beginning and the end of the sequence to become inconsistent and leads to the failure of self-calibration. We propose a self-calibration approach that is insensitive to this global projective drift. After self-calibration triplets of key-frames are aligned using absolute orientation and hierarchically merged into a complete metric reconstruction. Next, we compute a detailed 3D surface model using stereo matching. The 3D model is textured using some of the frames.","PeriodicalId":170883,"journal":{"name":"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124780411","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: 53
Unsupervised 3D object recognition and reconstruction in unordered datasets 无序数据集中的无监督三维物体识别与重建
Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05) Pub Date : 2005-06-13 DOI: 10.1109/3DIM.2005.81
Matthew A. Brown, D. Lowe
{"title":"Unsupervised 3D object recognition and reconstruction in unordered datasets","authors":"Matthew A. Brown, D. Lowe","doi":"10.1109/3DIM.2005.81","DOIUrl":"https://doi.org/10.1109/3DIM.2005.81","url":null,"abstract":"This paper presents a system for fully automatic recognition and reconstruction of 3D objects in image databases. We pose the object recognition problem as one of finding consistent matches between all images, subject to the constraint that the images were taken from a perspective camera. We assume that the objects or scenes are rigid. For each image, we associate a camera matrix, which is parameterised by rotation, translation and focal length. We use invariant local features to find matches between all images, and the RANSAC algorithm to find those that are consistent with the fundamental matrix. Objects are recognised as subsets of matching images. We then solve for the structure and motion of each object, using a sparse bundle adjustment algorithm. Our results demonstrate that it is possible to recognise and reconstruct 3D objects from an unordered image database with no user input at all.","PeriodicalId":170883,"journal":{"name":"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116886760","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: 300
Accuracy of 3D scanning technologies in a face scanning scenario 三维扫描技术在人脸扫描场景中的准确性
Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05) Pub Date : 2005-06-13 DOI: 10.1109/3DIM.2005.13
Chris Boehnen, P. Flynn
{"title":"Accuracy of 3D scanning technologies in a face scanning scenario","authors":"Chris Boehnen, P. Flynn","doi":"10.1109/3DIM.2005.13","DOIUrl":"https://doi.org/10.1109/3DIM.2005.13","url":null,"abstract":"In this paper, we review several different 3D scanning devices. We present a method for empirical accuracy analysis, and apply it to several scanners providing an overview of their technologies. The scanners include both general purpose and face specific scanning devices. We focus on face scanning technique, although the technique should be applicable to other domains as well. The proposed method involves several different calibration faces of known shape and comparisons of their scans to investigate both absolute accuracy and repeatability.","PeriodicalId":170883,"journal":{"name":"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121949729","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: 106
Acquisition of view-based 3D object models using supervised, unstructured data 使用监督的非结构化数据获取基于视图的3D对象模型
Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05) Pub Date : 2005-06-13 DOI: 10.1109/3DIM.2005.15
Kevin Coogan, I. Green
{"title":"Acquisition of view-based 3D object models using supervised, unstructured data","authors":"Kevin Coogan, I. Green","doi":"10.1109/3DIM.2005.15","DOIUrl":"https://doi.org/10.1109/3DIM.2005.15","url":null,"abstract":"Existing techniques for view-based 3D object recognition using computer vision rely on training the system on a particular object before it is introduced into an environment. This training often consists of taking over 100 images at predetermined points around the viewing sphere in an attempt to account for most angles for viewing the object. However, in many circumstances, the environment is well known and we only expect to see a small subset of all possible appearances. In this paper, we test the idea that under these conditions, it is possible to train an object recognition system on-the-fly using images of an object as it appears in its environment, with supervision from the user. Furthermore, because some views of an object are much more likely than others, the number of training images required can be greatly reduced.","PeriodicalId":170883,"journal":{"name":"Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128631600","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
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