Title
An iterative multiresolution scheme for SFM with missing data: Single and multiple object scenes
Abstract
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.
Year
DOI
Venue
2010
10.1016/j.imavis.2009.05.015
Image Vision Comput.
Keywords
Field
DocType
multiple object case,factorization techniques,missing entry,iterative multiresolution scheme,original input matrix,proposed scheme,multiple object scene,missing data,multiple object,real data sequence,structure from motion,motion problem
Structure from motion,Computer vision,Pattern recognition,Matrix (mathematics),Factorization,Data sequences,Artificial intelligence,Missing data,Mathematics
Journal
Volume
Issue
ISSN
28
1
Image and Vision Computing
Citations 
PageRank 
References 
2
0.36
21
Authors
5
Name
Order
Citations
PageRank
Carme Julií151.07
Angel Domingo Sappa256533.54
Felipe Lumbreras332828.04
Joan Serrat41262103.04
Antonio López51049.02