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Proceedings Paper

Interpolation for 3D object reconstruction using wavelet transforms
Author(s): Wen-Huei Lin; Chin-Hsing Chen; Jiann-Shu Lee
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Paper Abstract

Three dimensional (3D) object reconstruction from a series of cross sectional images has found many applications, such as computer vision, medical imaging. In this paper, we proposed a wavelet based interpolation for 3D reconstruction. In this scheme, a contour signal of interested object is decomposed by using multiresolution wavelet bases. The length of a 'filled' contours is first estimated from the two lengths of a coarsest scales of the two adjacent slices, refined by the lengths of the finer scales. The interslice contour estimation is obtained by the inverse wavelet transform. A series of CT liver images is used to test the performance of our method. Experiments show that our method can obtain satisfactory reconstruction surface. The advantages of our method are (i) no need of feature matching, which is a time consuming process and usually result in false matching results and (ii) fast algorithms for wavelet transforms can be implemented. Thus, our method is not only reliable for practical images but also computationally efficient.

Paper Details

Date Published: 21 April 1995
PDF: 12 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206645
Show Author Affiliations
Wen-Huei Lin, National Cheng Kung Univ. (Taiwan)
Chin-Hsing Chen, National Cheng Kung Univ. (Taiwan)
Jiann-Shu Lee, National Cheng Kung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)

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