Least-squares congealing for large numbers of images
Cox, Mark, Sridharan, Sridha, Lucey, Simon, & Cohn, Jeffrey (2009) Least-squares congealing for large numbers of images. In 2009 IEEE 12th International Conference on Computer Vision. IEEE Computer Society, pp. 1949-1956.
In this paper we pursue the task of aligning an ensemble of images in an unsupervised manner. This task has been commonly referred to as “congealing” in literature. A form of congealing, using a least-squares criteria, has been recently demonstrated to have desirable properties over conventional congealing. Least-squares congealing can be viewed as an extension of the Lucas & Kanade (LK)image alignment algorithm. It is well understood that the alignment performance for the LK algorithm, when aligning a single image with another, is theoretically and empirically equivalent for additive and compositional warps.
In this paper we:
(i) demonstrate that this equivalence does not hold for the extended case of congealing,
(ii) characterize the inherent drawbacks associated with least-squares congealing when dealing with large numbers of images, and
(iii) propose a novel method for circumventing these limitations through the application of an inverse-compositional strategy that maintains the attractive properties of the original method while being able to handle very large numbers of images.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Book Chapter|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Engineering Systems
|Deposited On:||03 Oct 2011 15:11|
|Last Modified:||01 Mar 2012 00:13|
Repository Staff Only: item control page