Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)

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Improvement and Analysis of Panoramic Image Mosaic Technology Based on Mixed Scene

Authors
Yuhua Pei1, *
1Electronic Engineering College, Heilongjiang University, Harbin, Heilongjiang, 150006, China
*Corresponding author. Email: 20211353@s.hlju.edu.cn
Corresponding Author
Yuhua Pei
Available Online 16 October 2024.
DOI
10.2991/978-94-6463-540-9_80How to use a DOI?
Keywords
Panoramic Image; Mixed Scene; Feature Extraction Algorithm
Abstract

Given how quickly augmented reality (AR) and virtual reality (VR) technologies are developing, panoramic image stitching technology is playing an increasingly important role in providing immersive experiences. Especially in complex scenes where natural and urban environments are interwoven, high-quality panoramic image stitching technology is indispensable for creating lifelike virtual experiences. Aiming at the Mosaic problem of panoramic images in mixed scenes, two feature extraction algorithms—Accelerated Robust Feature (ORB) and Scale Invariant Feature Transform (SIFT)—were contrasted in various scenarios. Through experimental design, scenes spanning different distance ranges are selected as test objects to evaluate the stitching effect of the two algorithms under changing the shooting Angle. Moreover, the accuracy of SIFT algorithm in pre-processing image is enhanced according to the existing method, that is, the local contrast of a picture is enhanced by applying the contrast limited adaptive histogram equalization (CLAHE). The selection of images and code implementation in the panoramic image Mosaic of mixed scene are analyzed by the results of the last experiment.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
Series
Advances in Computer Science Research
Publication Date
16 October 2024
ISBN
978-94-6463-540-9
ISSN
2352-538X
DOI
10.2991/978-94-6463-540-9_80How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yuhua Pei
PY  - 2024
DA  - 2024/10/16
TI  - Improvement and Analysis of Panoramic Image Mosaic Technology Based on Mixed Scene
BT  - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
PB  - Atlantis Press
SP  - 793
EP  - 801
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-540-9_80
DO  - 10.2991/978-94-6463-540-9_80
ID  - Pei2024
ER  -