Articles with "low overlap" as a keyword



Low-Overlap Point Cloud Registration via Correspondence Augmentation

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Published in 2025 at "IEEE Transactions on Automation Science and Engineering"

DOI: 10.1109/tase.2024.3506120

Abstract: Existing works have made some progress in point cloud registration, but most of them measure performance only on point cloud pairs with high overlap. In practical applications, it is often difficult to ensure that the… read more here.

Keywords: overlap point; point; point cloud; low overlap ... See more keywords

RTSfM: Real-Time Structure From Motion for Mosaicing and DSM Mapping of Sequential Aerial Images With Low Overlap

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Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2021.3090203

Abstract: Inspired by simultaneous localization and mapping (SLAM) style workflow, this article presented an online sequential structure from motion (SfM) solution for high-frequency video and large baseline high-resolution aerial images with high efficiency and novel precision.… read more here.

Keywords: real time; time; structure motion; aerial images ... See more keywords

RTO-LLI: Robust Real-Time Image Orientation Method With Rapid Multilevel Matching and Third-Times Optimizations for Low-Overlap Large-Format UAV Images

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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3559983

Abstract: Unmanned aerial vehicle (UAV) real-time photogrammetry is important to promote the rapid generation of photogrammetry 4-D product, intelligent information extraction and rapid remote sensing mapping, and efficient large-scale 3-D modeling. However, for real-time processing of… read more here.

Keywords: real time; time; image; low overlap ... See more keywords

Low-Overlap Point Cloud Registration by Semiglobal Block Matching

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Published in 2025 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2024.3507933

Abstract: In recent years, the local feature-based point cloud registration methods have attracted more attention for their high robustness. The state-of-the-art local feature-based pipeline consists of local feature extraction, feature matching, and outlier rejection. However, the… read more here.

Keywords: overlap point; point; point cloud; low overlap ... See more keywords