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Proceedings Paper

A three-dimensional imaging method based on the principle of coded aperture imaging
Author(s): Haitao Lang; Liren Liu; Qingguo Yang
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Paper Abstract

Three-dimensional imaging techniques are very attractive for many applications. We develop the basic principle of coded aperture imaging used in invisible imaging realm to visible imaging realm, propose a three-dimensional imaging method. The object is captured by a cameras array. Then captured photographs of the object are integrated into an image named coded image. Finally coded image is computationally decoded to obtain a series of longitudinal layered surface images of the object. For good reconstructed images fidelity, we make use of correlation decoding method. With the use of correlation decoding, the distribution of cameras in array is crucial for the quality of reconstructed images. We investigate some typical two-dimensional arrays, choose non-redundant array for its proper imaging property. Experiments have been done to test and verify the performance of the proposed method. We choose a simple discontinuous object. The object is composed of two digit models, digit "1" and "2". Two digit models are displaced from each other. The distance between them is 10cm. Cameras array includes 9 cameras arranged as non-redundant array. The object is placed at the center axis of the cameras array, face to face with the array. After capturing, photographs integrating, computational decoding etc. procedures, we obtain high-quality reconstructed images of digit "1" and "2". The results of experiments show that the proposed method is feasible.

Paper Details

Date Published: 30 August 2005
PDF: 9 pages
Proc. SPIE 5896, Unconventional Imaging, 58960K (30 August 2005); doi: 10.1117/12.612667
Show Author Affiliations
Haitao Lang, Shanghai Institute of Optics and Fine Mechanics, CAS (China)
Liren Liu, Shanghai Institute of Optics and Fine Mechanics, CAS (China)
Qingguo Yang, Shanghai Institute of Optics and Fine Mechanics, CAS (China)

Published in SPIE Proceedings Vol. 5896:
Unconventional Imaging
Victor L. Gamiz; Paul S. Idell, Editor(s)

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