Shape reconstruction from partially missing data in modal space

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Shape reconstruction from partially missing data in modal space
To reconstruct the shape of objects from incomplete point sets or noisy images, robust and accurate reconstruction methods are required. This paper presents a physics-based approach for automatically reconstructing three-dimensional shapes in a robust and proper manner from partially missing data. In modal space, an object's shape is described by modal deformations within each free vibration mode. In general, modes provide global-to-local ordering of shape deformation that allows us to select which types of deformations are to be used to reconstruct objects. By discarding high-frequency modes, the required computational time can be reduced without loss of accuracy. Moreover, the reconstructed shapes are relatively robust for partially missing data because of the stability of low-frequency modes. Unlike most existing approaches using a prototype with a priori fixed material properties, we calculate deformation modes directly from available data and allow the update of material pro...
Soo-Mi Choi, Myoung-Hee Kim
Added 17 Dec 2010
Updated 17 Dec 2010
Type Journal
Year 2002
Where CG
Authors Soo-Mi Choi, Myoung-Hee Kim
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