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Shape reconstruction from partially missing data in modal space

Title
Shape reconstruction from partially missing data in modal space
Authors
Choi S.-M.Kim M.-H.
Ewha Authors
김명희
SCOPUS Author ID
김명희scopus
Issue Date
2002
Journal Title
Computers and Graphics (Pergamon)
ISSN
0097-8493JCR Link
Citation
vol. 26, no. 5, pp. 701 - 708
Indexed
SCIE; SCOPUS WOS scopus
Abstract
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 properties to incorporate observations. As a result more improved shapes can be obtained. This new reconstruction algorithm is applied to point sets obtained from meshes and boundary contours in medical images. © 2002 Elsevier Science Ltd. All rights reserved.
DOI
10.1016/S0097-8493(02)00125-5
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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