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http://dx.doi.org/10.5909/JBE.2018.23.2.235

Three-Dimensional Rotation Angle Preprocessing and Weighted Blending for Fast Panoramic Image Method  

Cho, Myeongah (Department of Electronic Engineering, KyungHee University)
Kim, Junsik (Department of Electronic Engineering, KyungHee University)
Kim, Kyuheon (Department of Electronic Engineering, KyungHee University)
Publication Information
Journal of Broadcast Engineering / v.23, no.2, 2018 , pp. 235-245 More about this Journal
Abstract
Recently panoramic image overcomes camera limited viewing angle and offers wide viewing angle by stitching plenty of images. In this paper, we propose pre-processing and post-processing algorithm which makes speed and accuracy improvements when making panoramic images. In pre-processing, we can get camera sensor information and use three-dimensional rotation angle to find RoI(Region of Interest) image. Finding RoI images can reduce time when extracting feature point. In post-processing, we propose weighted minimal error boundary cut blending algorithm to improve accuracy. This paper explains our algorithm and shows experimental results comparing with existing algorithms.
Keywords
Panorama; Blending; Azimuth; Stitching;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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