Proceedings Paper
The method of image alignment based on sharpness maximization| Format | Member Price | Non-Member Price |
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Paper Abstract
In this paper the method of image alignment based on average image sharpness maximization is proposed. The algorithm for global-shift model is investigated, its efficiency by applying FFT is shown. For projective model, an approach for image alignment using local shifts and RANSAC to obtain the final transform is considered. Experimental results for the system of document's reconstruction in a video stream increasing quality of output image are demonstrated.
Paper Details
Date Published: 15 March 2019
PDF: 8 pages
Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 1104105 (15 March 2019); doi: 10.1117/12.2522903
Published in SPIE Proceedings Vol. 11041:
Eleventh International Conference on Machine Vision (ICMV 2018)
Antanas Verikas; Dmitry P. Nikolaev; Petia Radeva; Jianhong Zhou, Editor(s)
PDF: 8 pages
Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 1104105 (15 March 2019); doi: 10.1117/12.2522903
Show Author Affiliations
Daniil V. Tropin, Smart Engines Ltd. (Russian Federation)
Moscow Institute of Physics and Technology (Russian Federation)
Dmitry P. Nikolaev, Smart Engines Ltd. (Russian Federation)
Institute for Information Transmission Problems (Russian Federation)
Moscow Institute of Physics and Technology (Russian Federation)
Dmitry P. Nikolaev, Smart Engines Ltd. (Russian Federation)
Institute for Information Transmission Problems (Russian Federation)
Published in SPIE Proceedings Vol. 11041:
Eleventh International Conference on Machine Vision (ICMV 2018)
Antanas Verikas; Dmitry P. Nikolaev; Petia Radeva; Jianhong Zhou, Editor(s)
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