Efficient large-scale oblique image matching based on cascade hashing and match data scheduling

Zhang, Qiyuan and Zheng, Shunyi and Zhang, Ce and Wang, Xiqi and Li, Rui (2023) Efficient large-scale oblique image matching based on cascade hashing and match data scheduling. Pattern Recognition, 138: 109442. ISSN 0031-3203

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Abstract

In this paper, we design an efficient large-scale oblique image matching method. First, to reduce the number of redundant transmissions of match data, we propose a novel three-level buffer data scheduling (TLBDS) algorithm that considers the adjacency between images for match data scheduling from disk to graphics memory. Second, we adopt the epipolar constraint to filter the initial candidate points of cascade hashing matching, thereby significantly increasing the robustness of matching feature points. Comprehensive experiments are conducted on three oblique image datasets to test the efficiency and effectiveness of the proposed method. The experimental results show that our method can complete a match pair within 2.50∼2.64 ms, which not only is much faster than two open benchmark pipelines (i.e., OpenMVG and COLMAP) by 20.4∼97.0 times but also have higher efficiency than two state-of-the-art commercial software (i.e., Agisoft Metashape and Pix4Dmapper) by 10.4∼50.0 times.

Item Type:
Journal Article
Journal or Publication Title:
Pattern Recognition
Additional Information:
This is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pattern Recognition, 138, 2023 DOI: 10.1016/j.patcog.2023.109442
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1702
Subjects:
?? cascade hashingfeature point matchingmatch data schedulingoblique image matchingsiftstructure from motionartificial intelligencesignal processingsoftwarecomputer vision and pattern recognition ??
ID Code:
187999
Deposited By:
Deposited On:
02 Mar 2023 15:45
Refereed?:
Yes
Published?:
Published
Last Modified:
16 May 2024 02:45