Paper
20 October 2023 Investigation of an algorithm for distributing panoramic image stitching, enhanced by feature point detection
Yubin Wang
Author Affiliations +
Proceedings Volume 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023); 129160J (2023) https://doi.org/10.1117/12.3004634
Event: Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023, Kunming, China
Abstract
In order to solve the problems of long matching time and high mis-matching rate in the feature point matching process of traditional panoramic image stitching algorithms, this paper proposes a panoramic image stitching algorithm based on SIFT and RANSAC.SIFT's algorithm has been advanced to only extract features for overlapping areas (valid regions), thus lessening the computational effort of feature detection, better aligning image features, and enhancing alignment accuracy. On the ground of their corresponding degree, the RANSAC algorithm has been increasingly improved and thus allocated varying weights to distinct feature points, and the higher the matching degree, the higher the weight assigned to the points, thus more precisely discarding mismatched point pairs. A comparison of the number of mismatched points involving relevant parameters, like degree and time of matching, the SIFT and corresponding RANSAC algorithm-based panoramic image stitching algorithm are more excellent.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yubin Wang "Investigation of an algorithm for distributing panoramic image stitching, enhanced by feature point detection", Proc. SPIE 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 129160J (20 October 2023); https://doi.org/10.1117/12.3004634
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms

Panoramic photography

Image enhancement

Image fusion

Feature extraction

Image processing

Image quality

Back to Top