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3D reconstruction based on light field images
Author(s): Dong Zhu; Chunhong Wu; Yunluo Liu; Dongmei Fu
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Paper Abstract

This paper proposed a method of reconstructing three-dimensional (3D) scene from two light field images capture by Lytro illium. The work was carried out by first extracting the sub-aperture images from light field images and using the scale-invariant feature transform (SIFT) for feature registration on the selected sub-aperture images. Structure from motion (SFM) algorithm is further used on the registration completed sub-aperture images to reconstruct the three-dimensional scene. 3D sparse point cloud was obtained in the end. The method shows that the 3D reconstruction can be implemented by only two light field camera captures, rather than at least a dozen times captures by traditional cameras. This can effectively solve the time-consuming, laborious issues for 3D reconstruction based on traditional digital cameras, to achieve a more rapid, convenient and accurate reconstruction.

Paper Details

Date Published: 10 April 2018
PDF: 9 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106153C (10 April 2018); doi: 10.1117/12.2304504
Show Author Affiliations
Dong Zhu, Univ. of Science and Technology Beijing (China)
Chunhong Wu, Univ. of Science and Technology Beijing (China)
Yunluo Liu, Univ. of Science and Technology Beijing (China)
Dongmei Fu, Univ. of Science and Technology Beijing (China)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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