A Novel Algorithm of Real-time Aerial Image Mosaic
Authors: 
Yonghui Xi, Shiqiang HuAuthors Info & Claims
Yonghui Xi, Shiqiang HuAuthors Info & ClaimsPages 78 - 83
Abstract
Aerial image mosaic is to stitch the images taken by UAV (Unmanned aerial vehicles) from different positions into a panoramic image, which has attracted significant interest in enemy reconnaissance, terrain detection and environmental monitoring. Aiming at the problem of low process speed in the traditional algorithm, this paper proposes a real-time aerial image mosaic algorithm. First, we take advantage of ORB feature for feature extraction, and then KNN (K-Nearest Neighbor) algorithm based on Hash table is applied for fast feature matching. In order to make the algorithm more robust, we use RANSAC (Random Sampling Consistency) method to remove mismatched feature points in the process of estimating the transformation matrix. In the stage of image registration, we propose a new coordinates unification method based on the background image, which greatly reduces the amount of computation. Finally, we present a method to find the overlapped areas of images effectively and the distance weighted fusion algorithm is used in the overlapped areas to eliminate seams between images. Experiments show that the image mosaic algorithm proposed in this paper has both real-time performance and good stitching quality.
Additional Keywords and Phrases: Feature matching, Image registration, Image fusion
References
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- A Novel Algorithm of Real-time Aerial Image Mosaic
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Published In
November 2020
191 pages
ISBN:9781450388368
DOI:10.1145/3441250
Copyright © 2020 ACM.
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Association for Computing Machinery
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Published: 29 May 2021
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ICAIP 2020
ICAIP 2020: 2020 4th International Conference on Advances in Image Processing
November 13 - 15, 2020
Chengdu, China
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