TY - JOUR
T1 - Hierarchical adaptive regularisation method for depth extraction from planar recording of 3D-integral images
AU - Manolache, Silvia
AU - McCormick, Malcolm
AU - Kung, S. Y.
PY - 2001
Y1 - 2001
N2 - 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 hierarchisation 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.
AB - 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 hierarchisation 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.
UR - http://www.scopus.com/inward/record.url?scp=0034848725&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0034848725&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2001.941199
DO - 10.1109/ICASSP.2001.941199
M3 - Article
AN - SCOPUS:0034848725
SN - 1520-6149
VL - 3
SP - 1433
EP - 1436
JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ER -