Combining SfM and ORB Algorithms in 3D Reconstruction
https://doi.org/10.26907/1562-5419-2023-26-4-456–465
Abstract
This article presents a new algorithm for 3D reconstruction using a combination of two existing methods – Structure from Motion (SfM) and Oriented FAST and Rotated BRIEF (ORB). The authors propose an approach that merges the advantages of both methods to enhance the accuracy and efficiency of reconstructing the 3D structure of scenes from images. To improve reconstruction quality, filtering and outlier removal are applied, along with other optimizations. Comparative results between the new algorithm and existing methods demonstrate its superiority in accuracy and noise robustness. The proposed approach is highly scalable and can be successfully applied in various fields that require precise 3D reconstruction of image scenes.
About the Authors
I. A. Daminov
Kazan (Volga region) Federal University
Russian Federation
Russian Federation
A. Y. Arsenyuk
Kazan (Volga region) Federal University
Russian Federation
Russian Federation
A. S. Toschev
Kazan (Volga region) Federal University
Russian Federation
Russian Federation
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Review
For citations:
Daminov I.A., Arsenyuk A.Y., Toschev A.S. Combining SfM and ORB Algorithms in 3D Reconstruction. Russian Digital Libraries Journal. 2023;26(4):456–465. (In Russ.) https://doi.org/10.26907/1562-5419-2023-26-4-456–465
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