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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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AquaMVS Example Dataset 2: Multi-View Underwater Images for Ground Truth Analysis

Authors: Lancaster, Tucker;

AquaMVS Example Dataset 2: Multi-View Underwater Images for Ground Truth Analysis

Abstract

 This archive contains the complete input data and derived analysis artifacts used to validate the geometric accuracy of the AquaMVS underwater multi-view stereo (MVS) reconstruction pipeline against independent ChArUco calibration-board ground truth. The validation is non-circular: ground-truth corner geometry is recovered from the calibration boards independently of the MVS reconstruction it is used to assess. The dataset (~8.6 GB uncompressed) is organized into two parts: - aquamvs_ground_truth_analysis/ — the reconstruction inputs and outputs. Includes synchronized underwater imagery from a 13-camera rig (10 frames per camera), per-camera calibration (calibration.json: intrinsics, extrinsics, and per-camera water-surface depth), the pipeline configuration (config.yaml), and the full AquaMVS reconstruction output/ for each frame (depth maps, multi-view consistency maps, fused point clouds, meshes, and undistorted images). - analysis_output/ — the derived ground-truth validation artifacts. Includes transferred ChArUco corner detections (corner_transfer/), an error decomposition of reconstructed vs. ground-truth corner geometry (error_decomposition.json), scale alignment (scale_alignment.json), scale-independent metrics (cross-camera agreement and board flatness consistency), and publication figures (PDF/PNG/SVG). The companion analysis code that consumes this data and reproduces all metrics and figures is available at: https://github.com/McGrathLab/AquaMVS_gtanalysis To reproduce the analysis, extract this archive so that the data/ directory sits at the root of the analysis repository.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average