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Hierarchical adaptive regularisation method for depth extraction from planar recording of 3D-integral images

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3 Author(s)
Manolache, S. ; Dept. of Eng. & Technol., De Montfort Univ., Leicester, UK ; McCormick, M. ; Kung, S.Y.

The paper presents a novel algorithm for object space reconstruction from the planar (2D) recorded data set of a 3D-integral image. The integral imaging system is described and the associated point spread function is given. The space data extraction is formulated as an inverse problem, which proves ill-conditioned, and tackled by using a hierarchical multiresolution strategy and imposing additional conditions to the sought solution. The hierarchical strategy and the two-phase adaptive constrained 3D-reconstruction algorithm based on the use of two sigmoid functions are presented. Finally, illustrative simulation results are given

Published in:

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on  (Volume:3 )

Date of Conference:

2001