A Survey on Feature-Based and Deep Image Stitching

Sima Soltanpour, Chris Joslin

2025

Abstract

Image stitching is a process of merging multiple images with overlapped parts to generate a wide-view image. There are many applications in a variety of fields for image stitching such as 360-degree cameras, virtual reality, photography, sports broadcasting, video surveillance, street view, and entertainment. Image stitching methods are divided into feature-based and deep learning algorithms. Feature-based stitching methods rely heavily on accurate localization and distribution of hand-crafted features. One of the main challenges related to these methods is handling parallax problems. In this survey, we categorize feature-based methods in terms of parallax tolerance which has not been discovered in the existing survey papers. Moreover, considerable research efforts have been dedicated to applying deep learning methods for image stitching. In this way, we also comprehensively review and compare the different types of deep learning methods for image stitching and categorize them into three different groups including deep homography, deep features, and deep end-to-end framework.

Paper Citation

in Harvard Style

Soltanpour S. and Joslin C. (2025). A Survey on Feature-Based and Deep Image Stitching. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-728-3, SciTePress, pages 777-788. DOI: 10.5220/0013368500003912

in Bibtex Style

@conference{visapp25,
author={Sima Soltanpour and Chris Joslin},
title={A Survey on Feature-Based and Deep Image Stitching},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2025},
pages={777-788},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013368500003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - A Survey on Feature-Based and Deep Image Stitching
SN - 978-989-758-728-3
AU - Soltanpour S.
AU - Joslin C.
PY - 2025
SP - 777
EP - 788
DO - 10.5220/0013368500003912
PB - SciTePress