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Content Provider | IEEE Xplore Digital Library |
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Author | Calderon, F. Romero, L. |
Copyright Year | 2007 |
Description | Author affiliation: Univ. Michoacana de San Nicolas de Hidalgo Santiago Tapia 403, Morelia (Calderon, F.; Romero, L.) |
Abstract | Given a model structure, an input image and a reference image, the parametric registration task is to find a parameters vector (of the model) that transform the input image into the reference image. This paper reviews the general projective model and develops a new method of computing the set of image derivatives needed. It shows how the classical method reported in the literature is only accurate under translation, and it fails when other transformations are involved. Analytical derivations and experimental tests show the superior accuracy of the new method against the classical method. |
Starting Page | 58 |
Ending Page | 64 |
File Size | 252234 |
Page Count | 7 |
File Format | |
ISBN | 9780769528991 |
DOI | 10.1109/ENC.2007.27 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-09-24 |
Publisher Place | Mexico |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image registration Pixel Computer science Image analysis Testing Layout Image sensors Spatiotemporal phenomena Minimization methods Nonlinear optics |
Content Type | Text |
Resource Type | Article |
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