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

By S Manolache, M Mccormick and SY Kung


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 givenDepartment of Electronic and Information EngineeringRefereed conference pape

Topics: Adaptive signal processing, Feature extraction, Image reconstruction, Image resolution, Inverse problems, Least squares approximations, Optical transfer function
Year: 2001
DOI identifier: 10.1109/ICASSP.2001.941199
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