A hierarchical image matching method for incremental SFM

Cong Zhi; Peng Sun; Mingli Dong; Bixi Yan; Jun Wang

doi:10.1117/12.2687073

27 November 2023 A hierarchical image matching method for incremental SFM

Cong Zhi, Peng Sun, Mingli Dong, Bixi Yan, Jun Wang

Proceedings Volume 12767, Optoelectronic Imaging and Multimedia Technology X; 1276715 (2023) https://doi.org/10.1117/12.2687073
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Conference Poster

Abstract

Since feature matching of image pairs brings a heavy computational burden, Structure-from-Motion faces great challenges in efficiency, especially for unordered large-scale image collections. To solve it, we propose a hierarchical image matching method in this paper. Our approach starts with an iterative image retrieval scheme, which can efficiently find potentially overlapping image pairs as candidates and avoid unnecessary computation. Then, feature extraction, feature matching and geometric verification are implemented in candidates to find the verified image pairs and inlier feature correspondences. Experiments on benchmark datasets and large-scale unordered datasets demonstrate that our method performs competitiveness in efficiency, without degrading the accuracy, compared with the state-of-the-art system.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Cong Zhi, Peng Sun, Mingli Dong, Bixi Yan, and Jun Wang "A hierarchical image matching method for incremental SFM", Proc. SPIE 12767, Optoelectronic Imaging and Multimedia Technology X, 1276715 (27 November 2023); https://doi.org/10.1117/12.2687073

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available