Mobile and embedded fast high resolution image stitching for long length rectangular monochromatic objects with periodic structure

Elena Limonova; Daniil Tropin; Boris Savelyev; Igor Mamay; Dmitry Nikolaev

doi:10.1117/12.2310093

13 April 2018 Mobile and embedded fast high resolution image stitching for long length rectangular monochromatic objects with periodic structure

Elena Limonova, Daniil Tropin, Boris Savelyev, Igor Mamay, Dmitry Nikolaev

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Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 1069615 (2018) https://doi.org/10.1117/12.2310093
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria

Abstract

In this paper we describe stitching protocol, which allows to obtain high resolution images of long length monochromatic objects with periodic structure. This protocol can be used for long length documents or human-induced objects in satellite images of uninhabitable regions like Arctic regions. The length of such objects can reach notable values, while modern camera sensors have limited resolution and are not able to provide good enough image of the whole object for further processing, e.g. using in OCR system. The idea of the proposed method is to acquire a video stream containing full object in high resolution and use image stitching. We expect the scanned object to have straight boundaries and periodic structure, which allow us to introduce regularization to the stitching problem and adapt algorithm for limited computational power of mobile and embedded CPUs. With the help of detected boundaries and structure we estimate homography between frames and use this information to reduce complexity of stitching. We demonstrate our algorithm on mobile device and show image processing speed of 2 fps on Samsung Exynos 5422 processor

Citation Download Citation

Elena Limonova, Daniil Tropin, Boris Savelyev, Igor Mamay, and Dmitry Nikolaev "Mobile and embedded fast high resolution image stitching for long length rectangular monochromatic objects with periodic structure", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 1069615 (13 April 2018); https://doi.org/10.1117/12.2310093

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KEYWORDS

Panoramic photography

Image processing

Image resolution

Edge detection

Mobile devices

Image analysis

Video

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