Paper Info
Title
Rapid weak-perspective Structure from Motion with missing data
Abstract
3D reconstruction with missing data has been a very challenging computer vision task since the late 90s. This paper proposes the GPU-powered version of our weak-perspective Structure from Motion algorithm published in BMVC2008. Although this method is iterative, it is very rapid since all substeps in each iteration minimize the parameters optimally with respect to the reprojection error. We demonstrate here in both synthetic and real tests that the use of the GPU significantly reduces the time demand of the algorithm. Real-time 3D reconstruction is possible if the parameters of the optimization algorithm are set properly.
Year
DOI
Venue
2011
10.1109/ICCVW.2011.6130283
Computer Vision Workshops
Keywords
Field
DocType
computer vision,graphics processing units,image reconstruction,minimisation,parameter estimation,solid modelling,BMVC2008,GPU-powered version,computer vision,missing data,motion algorithm,optimization algorithm,parameter minimization,real-time 3D reconstruction,reprojection error,weak-perspective structure
Iterative reconstruction,Structure from motion,Approximation algorithm,Computer vision,Reprojection error,Computer science,Minimisation (psychology),Artificial intelligence,Estimation theory,Missing data,3D reconstruction
Conference
ISBN
Citations 
PageRank 
978-1-4673-0062-9
0
0.34
References 
Authors
14
2
Name
Order
Citations
PageRank
Csaba Kazó100.34
Levente Hajder24312.55