Proceedings Third International Conference on 3-D Digital Imaging and Modeling最新文献

Combining off- and on-line calibration of a digital camera 结合数码相机的离线和在线校准

Proceedings Third International Conference on 3-D Digital Imaging and Modeling Pub Date : 2001-05-28 DOI: 10.1109/IM.2001.924413

M. Urbanek, R. Horaud, P. Sturm

引用次数: 11

3D reconstruction from two orthogonal views using simulated annealing approach 利用模拟退火方法从两个正交视图进行三维重建

Proceedings Third International Conference on 3-D Digital Imaging and Modeling Pub Date : 2001-05-28 DOI: 10.1109/IM.2001.924465

J. Ning, S. McClean, K. Cranley

引用次数: 4

3D capture for computer graphics 用于计算机图形的3D捕获

Proceedings Third International Conference on 3-D Digital Imaging and Modeling Pub Date : 2001-05-28 DOI: 10.1109/IM.2001.924481

H. Rushmeier

引用次数: 5

Tolerance control with high resolution 3D measurements 高分辨率三维测量公差控制

Proceedings Third International Conference on 3-D Digital Imaging and Modeling Pub Date : 2001-05-28 DOI: 10.1109/IM.2001.924473

F. Prieto, T. Redarce, P. Boulanger, R. Lepage

{"title":"Tolerance control with high resolution 3D measurements","authors":"F. Prieto, T. Redarce, P. Boulanger, R. Lepage","doi":"10.1109/IM.2001.924473","DOIUrl":"https://doi.org/10.1109/IM.2001.924473","url":null,"abstract":"The use of a laser range sensor in the 3D digitalization process for inspection tasks allows very significant improvement in acquisition speed and in 3D points density but does not attain the accuracy obtained with a Coordinate Measuring Machine (CMM). Inspection consists in verifying the accuracy of a part related to a given set of tolerances. It is thus necessary that the 3D measurements be more accurate than the tolerance range. In the 3D capture of a part, several sources of error can alter the measured values. So, we have to find and model the effect of the most influential parameters affecting the accuracy of the range sensor in the digitalization process. This model is used to provide a sensing plan to acquire completely and accurately the geometry of an object. The sensing plan is composed of the set of viewpoints, each of which defines the exact position and orientation of the camera relative to the part. The 3D cloud obtained from the sensing plan is registered with the CAD model of the part and then segmented according to the different surfaces. Segmentation results are used to check tolerances of the part. We propose in this paper a methodology for geometrical inspection that uses the segmented 3D data related to the surface of interest and the CAD model of the part.","PeriodicalId":155451,"journal":{"name":"Proceedings Third International Conference on 3-D Digital Imaging and Modeling","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125898394","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

Three-dimensional shape modeling with extended hyperquadrics 扩展超二次曲面的三维形状建模

Proceedings Third International Conference on 3-D Digital Imaging and Modeling Pub Date : 2001-05-28 DOI: 10.1109/IM.2001.924449

Tsuneo Saito, M. Ohuchi

引用次数: 5

Automatic 3D modeling using range images obtained from unknown viewpoints 使用从未知视点获得的距离图像进行自动3D建模

Proceedings Third International Conference on 3-D Digital Imaging and Modeling Pub Date : 2001-05-28 DOI: 10.1109/IM.2001.924424

Daniel F. Huber

引用次数: 46

Reliable 3D surface acquisition, registration and validation using statistical error models 可靠的三维表面采集，注册和验证使用统计误差模型

Proceedings Third International Conference on 3-D Digital Imaging and Modeling Pub Date : 2001-05-28 DOI: 10.1109/IM.2001.924440

J. Guehring

引用次数: 56

Affine transformations of 3D objects represented with neural networks 用神经网络表示三维物体的仿射变换

Proceedings Third International Conference on 3-D Digital Imaging and Modeling Pub Date : 2001-05-28 DOI: 10.1109/IM.2001.924438

Emmanouil Piperakis, I. Kumazawa

{"title":"Affine transformations of 3D objects represented with neural networks","authors":"Emmanouil Piperakis, I. Kumazawa","doi":"10.1109/IM.2001.924438","DOIUrl":"https://doi.org/10.1109/IM.2001.924438","url":null,"abstract":"An experiment is conducted to prove that multilayer feed-forward neural networks are capable of representing most classes of 3D objects, used in computer graphics. Furthermore, simple affine transformations were applied on those objects showing that modeling is possible using this type of representation. One network is used per one volumetric description of a 3D object. The neural network employed, is a function that takes as inputs 3D coordinates in object space and produces as output a value that indicates if the point belongs to the object or not. The representation method is tested by repeated evaluations of the network for points inside the object space. Objects that have a simple analytical form, e.g. a sphere or a cube, are represented by specifying the networks' parameters manually. For objects with more complicated shapes we generate training examples. These training examples consist of points on the objects' surface and points lying on inclosed and enclosing surfaces. The algorithm for generating the training data, is a simple heuristic that uses the surface normal to determine whether a point in the vicinity of the surface belongs to the inside or the outside of the object. The network is finally trained on the generated examples, using the back propagation technique. The experimental results prove that this representation method is accurate and compact. Feedforward neural networks being hardware implementable offer the ability for a faster representation. This paper is the second step, on a series of ideas, towards creating a real time 3D renderer based entirely on neural networks.","PeriodicalId":155451,"journal":{"name":"Proceedings Third International Conference on 3-D Digital Imaging and Modeling","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115885956","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

Robust recognition and pose determination of 3-D objects using range images in eigenspace approach 基于特征空间方法的距离图像三维目标鲁棒识别与姿态确定

Proceedings Third International Conference on 3-D Digital Imaging and Modeling Pub Date : 2001-05-28 DOI: 10.1109/IM.2001.924428

D. Skočaj, A. Leonardis

引用次数: 24

Estimation of elastic constants from 3D range-flow 三维范围流弹性常数的估计

Proceedings Third International Conference on 3-D Digital Imaging and Modeling Pub Date : 2001-05-28 DOI: 10.1109/IM.2001.924471

J. Lang, D. Pai

引用次数: 13