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Repairing incomplete measured data with a deformable model under constraints of feature shapes

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Abstract

Measured data of a product can be incomplete because of the inaccessibility or invisibility of some portions of the product surface for measure tools in reverse engineering. Usually, the missed surface areas include some key form features of the product, which represent important design components. However, flat surfaces are often used to mend the incomplete form features in current reverse engineering systems. In this paper, an incomplete data repair method is presented using a deformable model under the constraints of given feature forms. The method ensures the accuracy of identifying the missed local areas by choosing a set of proper rules of mesh construction according to the density distribution of measured data, and fills them with an energy-based, deformable local mesh that is adaptively-formed using an iteration of the procedure of mesh subdivision, constraint satisfaction and finite element equation solving.

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Authors and Affiliations

  1. CAD Center, Huazhong University of Science & Technology, Wuhan, China, 430074

    Huang Yunbao, Wang Qifu, Huang Zhengdong & Wu Jianjie

Authors
  1. Huang Yunbao
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  2. Wang Qifu
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  3. Huang Zhengdong
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  4. Wu Jianjie
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Correspondence to Huang Yunbao.

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Yunbao, H., Qifu, W., Zhengdong, H. et al. Repairing incomplete measured data with a deformable model under constraints of feature shapes. Int J Adv Manuf Technol 28, 92–100 (2006). https://doi.org/10.1007/s00170-004-2326-x

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  • DOI: https://doi.org/10.1007/s00170-004-2326-x

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