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Proceedings Paper

An efficient direct method for image registration of flat objects
Author(s): Dmitry Nikolaev; Dmitrii Tihonkih; Artyom Makovetskii; Sergei Voronin
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Paper Abstract

Image alignment of rigid surfaces is a rapidly developing area of research and has many practical applications. Alignment methods can be roughly divided into two types: feature-based methods and direct methods. Known SURF and SIFT algorithms are examples of the feature-based methods. Direct methods refer to those that exploit the pixel intensities without resorting to image features and image-based deformations are general direct method to align images of deformable objects in 3D space. Nevertheless, it is not good for the registration of images of 3D rigid objects since the underlying structure cannot be directly evaluated. In the article, we propose a model that is suitable for image alignment of rigid flat objects under various illumination models. The brightness consistency assumptions used for reconstruction of optimal geometrical transformation. Computer simulation results are provided to illustrate the performance of the proposed algorithm for computing of an accordance between pixels of two images.

Paper Details

Date Published: 19 September 2017
PDF: 8 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962U (19 September 2017); doi: 10.1117/12.2274101
Show Author Affiliations
Dmitry Nikolaev, Chelyabinsk State Univ. (Russian Federation)
Dmitrii Tihonkih, Chelyabinsk State Univ. (Russian Federation)
Artyom Makovetskii, Chelyabinsk State Univ. (Russian Federation)
Sergei Voronin, Chelyabinsk State Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

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