5 March 2007 Recognition of 3D objects by use of computational integral imaging reconstruction
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Abstract
In this paper, a novel resolution-enhanced three-dimensional (3-D) image correlator by use of computationally reconstructed integral images is proposed to extract accurate location data of 3-D objects. Elemental images of the target and reference objects are picked up by lenslet arrays and from which, high-resolution target and reference plane images are reconstructed at the output plane by using a computational integral imaging reconstruction technique. Then, through cross-correlations between the reconstructed reference and target plane images, 3-D location data of the target objects in a scene can be robustly extracted. To show the feasibility of the proposed method, some experiments are carried out and its results are presented as well.
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Jae-Sung Park, Jae-Sung Park, Dong-Choon Hwang, Dong-Choon Hwang, Dong-Hak Shin, Dong-Hak Shin, Joo-Bong Hyun, Joo-Bong Hyun, Jong-Kil Lee, Jong-Kil Lee, Ho-Hyun Kang, Ho-Hyun Kang, Eun-Soo Kim, Eun-Soo Kim, } "Recognition of 3D objects by use of computational integral imaging reconstruction", Proc. SPIE 6490, Stereoscopic Displays and Virtual Reality Systems XIV, 64901M (5 March 2007); doi: 10.1117/12.704922; https://doi.org/10.1117/12.704922
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