Title :
Image Mosaicking Through Macro-Feature Affine Matching
Author :
Lucchese, Luca ; Leorin, Simone ; Cortelazzo, Guido M.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR
fDate :
Oct. 30 2005-Nov. 2 2005
Abstract :
This paper presents a new method for registering images related by 2-D affine transformations. The method is based on extracting macro-features from the images to register and matching the polar curves associated with their energies, defined as the squared Fourier transform magnitudes. Such matching is formulated as a simple minimization problem whose optimal solution if found with the Levenberg-Marquardt algorithm. The excellent performance of the algorithm is shown through a practical example of image mosaicking
Keywords :
Fourier transforms; affine transforms; feature extraction; image matching; image registration; image segmentation; 2-D affine transformation; Levenberg-Marquardt algorithm; image matching; image mosaicking; image registration; macro-feature extraction; minimization problem; polar curves; squared Fourier transform magnitude; Computer science; Data mining; Feature extraction; Fourier transforms; Image processing; Image registration; Image segmentation; Minimization methods; Motion estimation; Shape;
Conference_Titel :
Multimedia Signal Processing, 2005 IEEE 7th Workshop on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9288-4
Electronic_ISBN :
0-7803-9289-2
DOI :
10.1109/MMSP.2005.248650
