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19 September 2017 An efficient direct method for image registration of flat objects
Dmitry Nikolaev, Dmitrii Tihonkih, Artyom Makovetskii, Sergei Voronin
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Proceedings Volume 10396, Applications of Digital Image Processing XL; 103962U (2017) https://doi.org/10.1117/12.2274101
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States
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.
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Dmitry Nikolaev, Dmitrii Tihonkih, Artyom Makovetskii, and Sergei Voronin "An efficient direct method for image registration of flat objects", Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962U (19 September 2017); https://doi.org/10.1117/12.2274101
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KEYWORDS
Direct methods
Image registration
3D image processing
Visual process modeling
Computer simulations
Detection and tracking algorithms
Optical tracking
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