87258
20180318102351.0
CONF
Multiresolution Motion Estimation for Omnidirectional Images
2005
2005
Conference Papers
This paper presents a novel local motion estimation algorithm for omnidirectional images. The algorithm captures correlation between two spherical images of a scene, taken from arbitrary viewpoints, with the objective to reduce the encoding rate of these images. It first performs a multiresolution decomposition of the spherical images, in order to improve the consistency of the motion estimation, with a limited computational complexity. Then, it determines pairs of similar solid angles and matches blocks of the two omnidirectional images, directly in the spherical domain. This approach allows a simple motion estimation implementation, that avoids potential discrepancies induced while unfolding omnidirectional images to implement a classical motion estimation on images. The proposed algorithm is shown to provide a quite efficient image prediction, and the prediction error is almost exclusively composed of high frequency noise.
local motion estimation
spherical images
LTS2
LTS4
Tosic, I.
163024
240452
Bogdanova, I.
128491
241302
Frossard, P.
101475
241061
Vandergheynst, P.
120906
240428
EUSIPCO
Antalya
September. 2005
Proceedings of EUSIPCO
996196
n/a
http://infoscience.epfl.ch/record/87258/files/Tosic2005_1265.pdf
oai:infoscience.tind.io:87258
STI
conf
LTS2
252392
U10380
LTS4
252393
U10851
EPFL-CONF-87258
Tosic2005_1265/LTS
EPFL
PUBLISHED
CONF