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ICIP
2005
IEEE

Featureless global alignment of multiple images

10 years 5 months ago
Featureless global alignment of multiple images
The majority of the approaches to the automatic recovery of a panoramic image from a set of partial views are suboptimal in the sense that the input images are aligned, or registered, pair by pair, e.g., consecutive frames of a video clip. These approaches lead to propagation errors that may be very severe, particularly when dealing with videos that show the same region at disjoint time intervals. Although some authors have proposed a post-processing step to reduce the registration errors in these situations, there have not been attempts to compute the optimal solution, i.e., the registrations leading to the panorama that best matches the entire set of partial views. This is our goal. In this paper, we use a generative model for the partial views of the panorama and develop an algorithm to compute in an efficient way the Maximum Likelihood estimate of all the unknowns involved: the parameters describing the alignment of all the images and the panorama itself.
Bernardo Esteves Pires, Pedro M. Q. Aguiar
Added 23 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2005
Where ICIP
Authors Bernardo Esteves Pires, Pedro M. Q. Aguiar
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