Semi-automatic 3D object digitizing system using range images
Manual object digitizing is a tedious task and can be replaced by 3D scanners which provide an accurate and fast way to digitize solid objects. Since only one view of an object can be captured at once, several views have to be combined in order to obtain a description of the complete surface. In this paper a digitizing system is proposed which captures and triangulates views of a real world 3D object and semi-automatically registers and integrates them into a virtual model. This process is divided into three steps. First, an object is placed at different poses and its surfaces are sensed by a range scanner. Then, the different surfaces are aligned automatically starting from a pose estimate entered interactively. Finally, the overlapping triangle meshes of the registered surfaces are fused in order to obtain one unique mesh for the entire object.
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- [BES]P.J. Besl and N.D. McKay, “A Method for Registration of 3-D Shapes,” Proceedings of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 14, no. 2, pp. 239–256, 1992.Google Scholar
- [HIL]A. Hilton, A.J. Stoddart, J. Illingworth and T. Windeatt, “Marching triangles: range image fusion for complex object modelling,” IEEE International Conference on Image Processing, Lausanne, vol. 2, pp. 381–384, 1996.Google Scholar
- [HUG]H. Hugli, Ch. Schutz, “How well performs free-form 3d object recognition from range images?,” Intelligent Robots and Computer Vision XV, Algorithms, Techniques, Active Vision and Materials Handling, SPIE, Boston, Vol. 2904, 1996, pp. 66–74.Google Scholar
- [KRE]B. Krebs, P. Sieverding and B. Korn, “Correct 3D Matching via a Fuzzy ICP Algorithm for Abitrary Shaped Objects,” DAGM96-Mustererkennung, Heidelberg, 1996.Google Scholar
- [PIT]R. Pito, “Mesh Integration Based on Co-Measurements,” IEEE International Conference on Image Processing, Lausanne, vol. 2, 1996, pp. 397–400.Google Scholar
- [RUT]M. Rutishauser, M. Stricker, M. Trobina, “Merging Range Images of Arbitrarily Shaped Objects,” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVRP), Seattle, 1994, pp. 573–580.Google Scholar
- [SCH]Ch. Schutz, H. Hugli, “Towards the recognition of 3D free-form objects,” Intelligent Robots and Computer Vision XIV, Algorithms, Techniques, Active Vision and Materials Handling, SPIE, Philadelphia, Vol. 2588, pp. 476–484, 1995.Google Scholar
- [SOU]M. Soucy, D. Laurendeau, “A General Surface Approach to the Integration of a Set of Range Views,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17, no. 4, 1995, pp. 344–358.Google Scholar
- [TUR]G. Turk, M. Levoy, “Zippered Polygon Meshes from Range Images,” Proceedings ACM Siggraph, Orlando, 1994, pp. 311–318. *** DIRECT SUPPORT *** A0008188 00017Google Scholar