PT Journal
AU Carme Julia
   Angel Sappa
   Felipe Lumbreras
   Joan Serrat
   Antonio Lopez
TI An Iterative Multiresolution Scheme for SFM with Missing Data: single and multiple object scenes
SO Image and Vision Computing
JI IMAVIS
PY 2010
BP 164
EP 176
VL 28
IS 1
DI 10.1016/j.imavis.2009.05.015
AB Most of the techniques proposed for tackling the Structure from Motion problem (SFM) cannot deal with high percentages of missing data in the matrix of trajectories. Furthermore, an additional problem should be faced up when working with multiple object scenes: the rank of the matrix of trajectories should be estimated. This paper presents an iterative multiresolution scheme for SFM with missing data to be used in both the single and multiple object cases. The proposed scheme aims at recovering missing entries in the original input matrix. The objective is to improve the results by applying a factorization technique to the partially or totally filled in matrix instead of to the original input one. Experimental results obtained with synthetic and real data sequences, containing single and multiple objects, are presented to show the viability of the proposed approach.
ER