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Proceedings Paper

Efficient 3D interpolation method for 3D reconstruction
Author(s): Shichang Joung; Younhui Jang; Inkyung Hwang; Sungjin Kim; Joon-Ki Paik
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Paper Abstract

Three-dimensional object reconstruction from two-dimensional images has attracted much attention due to its wide range of practical applications. Recently, various efficient 3D reconstruction methods have been developed. Most conventional methods, however, exhibit certain disadvantages such as complex computation for finding disparity and correspondence and huge number of input images for high-resolution reconstruction. The proposed method reconstructs a 3D object with significantly reduced number of input images based on the interpolation theory. By using two input images taken from different angles, an image which is seen from any angle in between them can be obtained by the proposed 3D interpolation method. For simple objects such as a cylinder or a cubic, if we know some parameters including radius of the object and camera rotation angle about input images, we don't have to find disparity to reconstruct the 3D structure. In the proposed method, we can obtain 3D images without significant amount of computation. The proposed method can be used in developing inexpensive computer tomography systems, 3D X-ray inspection systems, and virtual prototyping products.

Paper Details

Date Published: 13 April 2001
PDF: 8 pages
Proc. SPIE 4298, Three-Dimensional Image Capture and Applications IV, (13 April 2001); doi: 10.1117/12.424907
Show Author Affiliations
Shichang Joung, Chung-Ang Univ. (South Korea)
Younhui Jang, Chung-Ang Univ. (South Korea)
Inkyung Hwang, Chung-Ang Univ. (South Korea)
Sungjin Kim, Chung-Ang Univ. (South Korea)
Joon-Ki Paik, Chung-Ang Univ. (South Korea)


Published in SPIE Proceedings Vol. 4298:
Three-Dimensional Image Capture and Applications IV
Brian D. Corner; Joseph H. Nurre; Roy P. Pargas, Editor(s)

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