Title :
Many SVDs on GPU for Image Mosaic Assemble
Author :
Irving Badolato;Luciano de Paula;Ricardo Farias
Author_Institution :
COPPE/Syst. Eng., Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
Abstract :
In this paper we present a homography algorithm to produce image mosaics using parallelism to solve a multiple Singular Value Decomposition (SVD) system. We analyse four state of art SVD methods and choose the one which better suites the expected size of the matrices derived from the datasets of interest. Then we use cuda to accelerate the solution of the transformation homogeneous matrices.
Keywords :
"Matrix decomposition","Correlation","Jacobian matrices","Eigenvalues and eigenfunctions","Graphics processing units","Symmetric matrices","Singular value decomposition"
Conference_Titel :
Computer Architecture and High Performance Computing Workshop (SBAC-PADW), 2015 International Symposium on
DOI :
10.1109/SBAC-PADW.2015.22
