Title :
Robust image registration with global intensity transformation
Author :
Ruano, Susana ; Gallego, Guillermo ; Yezzi, Anthony ; Cuevas, Carlos ; Garcia, Narciso
Author_Institution :
Grupo de Tratamiento de Imagenes (GTI), Univ. Politec. de Madrid (UPM), Madrid, Spain
Abstract :
This paper presents a registration method for images with global illumination variations. The method is based on a joint iterative optimization (geometric and photometric) of the L1 norm of the intensity error. Two strategies are compared to directly find the appropriate intensity transformation within each iteration: histogram specification and the solution obtained by analyzing the necessary optimality conditions. Such strategies reduce the search space of the joint optimization to that of the geometric transformation between the images.
Keywords :
geometry; image registration; iterative methods; optimisation; L1 norm; geometric transformation; global illumination variations; global intensity transformation; histogram specification; intensity error; joint iterative optimization; photometric; robust image registration; search space; Histograms; Image registration; Iterative methods; Joints; Lighting; Optimization; Sensors; aerial imaging; first variation; histogram specification; illumination transformations; image registration;
Conference_Titel :
Consumer Electronics (ISCE), 2015 IEEE International Symposium on
DOI :
10.1109/ISCE.2015.7177768
