Stitching in fixed wide-field-of-view scenarios

Qiyu Wei; Yonghao Zhou; Yingjie Yu

doi:10.1117/12.3023265

15 February 2024 Stitching in fixed wide-field-of-view scenarios

Qiyu Wei, Yonghao Zhou, Yingjie Yu

Proceedings Volume 13069, International Conference on Optical and Photonic Engineering (icOPEN 2023); 1306915 (2024) https://doi.org/10.1117/12.3023265
Event: International Conference on Optical and Photonic Engineering (icOPEN 2023), 2023, Singapore, Singapore

Abstract

In certain scenarios, due to the limitation of a single camera in capturing the entire scene, we need to employ multiple cameras to gather information and seamlessly fuse multiple local images into a panoramic image, showcasing significant potential across a wide range of application domains. This paper focuses on the theory and practice of image stitching in fixed wide-field-of-view scenarios. Firstly, we delve into the fundamental principles and methods of image stitching, including feature extraction, feature matching, and image blending. Secondly, we provide an overview and analysis of current state-of-the-art image stitching algorithms, exploring their advantages and limitations, particularly in the context of fixed field of view. To address the common challenges in fixed wide-field-of-view image stitching, this paper proposes a novel stitching algorithm based on grid distortion. By utilizing multiple sets of scene images to guide the new image stitching process, we achieve higher precision in image matching and blending while retaining fine details. Experimental results demonstrate the effectiveness of our approach in a self-constructed scene.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qiyu Wei, Yonghao Zhou, and Yingjie Yu "Stitching in fixed wide-field-of-view scenarios", Proc. SPIE 13069, International Conference on Optical and Photonic Engineering (icOPEN 2023), 1306915 (15 February 2024); https://doi.org/10.1117/12.3023265

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KEYWORDS

Distortion

Cameras

Image processing

Matrices

Image fusion

Image quality

Picosecond phenomena

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