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標題: 薄殼有限元素於形貌註冊與表面平滑化之應用
Application of Thin-shell Finite Elements in Range Image Registration and Surface Smoothing
作者: 賴武傑
Lai, Wuu-Jay
關鍵字: Registration;形貌註冊;Finite Element Method;Thin-shell element;有限元素法;薄殼元素
出版社: 機械工程學系所
引用: 1. 高玉和,微型元件多視角三微型貌疊合之研究,國立中興大學機械工程研究所碩士學位論文,台中,2005。 2. 蘇鑫元,結構光形貌量測系統校正與多視角形貌註冊,國立中興大學機械工程研究所碩士學位論文,台中,2006。 3. P. J. Besl and N. D. McKay, "A method for registration of 3-D shapes," IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 239–256, 1992. 4. A. Goshtasby, " Three-dimensional model construction from multiview range images: survey with new results," Pattern Recog. Vol. 31, No. 11, pp. 1705-1714, 1998. 5. Z. Zhang. Iterative point matching for registration of freeform curves and surfaces. International Journal of Computer Vision, 13(2):119–152, 1994. 6. Y. Chen and G. Medioni. Object modelling by registration of multiple range images. Image and Vision Computing,10(3):145–155, April 1992. 7. M. Potmesil. Generating models for solid objects by matching 3d surface segments. In Proc. Int. Joint Conf. on Artificial Intelligence, pages 1089–1093, August 1983. 8. G. Turk and M. Levoy. Zippered polygon meshes from range images. In Proceedings of SIGGRAPH ’94, pages 311–318,July 1994. 9. G. Godin, M. Rioux, and R. Baribeau. Three-dimensional registration using range and intensity information. In Proc.SPIE vol. 2350: Videometrics III, pages 279–290, 1994. 10. Yonghuai Liu, Baogang Wei, "Developing structural constraints for accurate registration of overlapping range images, "Robotics and Autonomous System, Vol. 47,pp.11-30,2004. 11. N. Li, "Accurate integration of surface profile data with quantitative error analysis," Experimental Mechanics, Vol. 41, No. 1, pp. 77-83, 2001. 12. G. Turk and M. Levoy, "Zippered Polygon Meshes from Range Images," Proc. ACM SIGGRAPH 94, pp. 311-318, 1994. 13. H. Jin, T. Duchamp, H. Hoppe, J. A. McDonald, K. Pulli, and W. Stuetzle. Surface reconstruction from misregistered data. In Proc. SPIE vol. 2573: Vision Geometry IV, pages 324–328, 1995. 14. D. W. Eggert, A. W. Fitzgibbon, and R. B. Fisher. Simultaneous registration of multiple range views for use in reverse engineering. Technical Report 804, Dept. of Artificial Intelligence, University of Edinburgh, 1996. 15. A. J. Stoddart and A. Hilton. Registration of multiple point sets. In Proceedings of the 13th IAPR International Conference on Pattern Recognition, pages 40–44, 1996. 16. The Ohio University. OSU(MSU/ESU) Range Image Database. Images from OSU''s Minolta 700 range scanner. 17. MeshLab. 18. O .C. Zienkiewicz, The Finite Element Method in Engineering Science, Mcgraw Hill, London, 1971. 19. 陳精一、蔡國忠,電腦輔助工程分析-ANSYS使用指南,全華科技圖書股份有限公司,2000。 20. 康淵、陳信吉,ANSYS入門,全華科技圖書股份有限公司,2002。

Every single view profile information obtained by measurement system has it's own measurement error. Though executing the range image registration in all view could reduce the errors between every view to the best of it's possible, there are calculational errors made form shape integrated. It causes the erroneous faults occur between every range image and any other range images which overlapping.
This paper describes using triangular thin-shell finite elements to mesh every singe view range image. For seeking the corresponding relationship between every single view profile, we determine the overlaps with other range images to find out the all nodes' corresponding points. After that we use the virtual springs which original lengths are zero to connect them, and use the spring's restoring force to minimize the whole error of range images and reduce the influence about object's surface profile to get the whole contours of component.
其他識別: U0005-0408200810051100
Appears in Collections:機械工程學系所

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