PT Journal
AU Carme Julia
Angel Sappa
Felipe Lumbreras
Joan Serrat
Antonio Lopez
TI An iterative multiresolution scheme for SFM with missing data
SO Journal of Mathematical Imaging and Vision
JI JMIV
PY 2009
BP 240–258
VL 34
IS 3
AB Several techniques have been proposed for tackling the Structure from Motion problem through factorization in the case of missing data. However, when the percentage of unknown data is high, most of them may not perform as well as expected. Focussing on this problem, an iterative multiresolution scheme, which aims at recovering missing entries in the originally given input matrix, is proposed. Information recovered following a coarse-to-fine strategy is used for filling in the missing entries. The objective is to recover, as much as possible, missing data in the given matrix.Thus, when a factorization technique is applied to the partially or totally filled in matrix, instead of to the originally given input one, better results will be obtained. An evaluation study about the robustness to missing and noisy data is reported.Experimental results obtained with synthetic and real video sequences are presented to show the viability of the proposed approach.
ER