By Topic

Model-based 3D-motion estimation with illumination compensation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Eisert, P. ; Erlangen-Nurnberg Univ., Germany ; Girod, B.

We present a model-based algorithm for the estimation of three-dimensional motion parameters of an object moving in 3D-space. Photometric effects are taken into account by adding different illumination models to the virtual scene. Using the additional information from three-dimensional geometric models of the scene leads to linear algorithms for the parameter estimation of the illumination models which are all computationally efficient. Experiments show that the peak signal noise ratio (PSNR) between camera and reconstructed synthetic images can be increased by up to 7 dB compared to global illumination compensation. The average estimation error of the motion parameters is at the same time reduced by 40%

Published in:

Image Processing and Its Applications, 1997., Sixth International Conference on  (Volume:1 )

Date of Conference:

14-17 Jul 1997