Title
Fourier-based registrations for two-dimensional forward-looking sonar image mosaicing
Abstract
This paper presents a method to build large-scale mosaics adapted to underwater sonar imagery. By assuming a simplified imaging model, we propose to address the registrations between images using Fourier-based methods which, unlike feature-based methods, prove well suited to handle the characteristics of forward-looking sonar images, such as low resolution, noise, occlusions and moving shadows. The registration between spatially and temporally distant images resulting from loop-closing situations or registrations in featureless areas are feasible, overcoming the main difficulties of feature-based methods. The problem is cast as a pose-based graph optimization, taking into account the uncertainties of the pairwise registrations and being able to incorporate navigation information. After the optimization, a consistent mosaic from different tracklines is generated with increased resolution and higher signal-to-noise ratio than the original images, while the vehicle motion in x,y and heading is also estimated.
Year
DOI
Venue
2012
10.1109/IROS.2012.6385813
Intelligent Robots and Systems
Keywords
Field
DocType
Fourier analysis,graph theory,image registration,image segmentation,optimisation,sonar imaging,Fourier-based registration method,feature-based methods,image registration,large-scale mosaics,loop-closing situations,moving shadows,navigation information,occlusions,pose-based graph optimization,signal-to-noise ratio,simplified imaging model,two-dimensional forward-looking sonar image mosaicing,underwater sonar imagery
Graph theory,Computer vision,Fourier analysis,Computer science,Image processing,Feature extraction,Image segmentation,Sonar,Artificial intelligence,Image resolution,Image registration
Conference
ISSN
ISBN
Citations 
2153-0858
978-1-4673-1737-5
12
PageRank 
References 
Authors
0.90
10
4
Name
Order
Citations
PageRank
Natalia Hurtos1616.93
Xavier Cufí2120.90
Yvan Petillot314219.16
J. Salvi41048.80