Unified Underwater Structure-from-Motion

Ichimaru, Kazuto; Taguchi, Yuichi; Kawasaki, Hiroshi

doi:10.1109/3dv.2019.00064

Cited by 13 publications

(2 citation statements)

References 29 publications

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“…), numerous other parameters may vary during a single survey (type of camera, availability of its model parameters, navigation quality, illumination conditions, etc.). Prior studies based on state-of-the-art deep-sea vehicles with HD cameras demonstrated reconstructions that had an accuracy of ±1 cm or better [49][50][51].…”

Section: Resulting 3d Modelmentioning

confidence: 99%

Underwater 3D Reconstruction from Video or Still Imagery: Matisse and 3DMetrics Processing and Exploitation Software

Arnaubec

Ferrera

Escartı́n³

et al. 2023

JMSE

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This paper addresses the lack of “push-button” software for optical marine imaging, which currently limits the use of photogrammetric approaches by a wider community. It presents and reviews an open source software, Matisse, for creating textured 3D models of complex underwater scenes from video or still images. This software, developed for non-experts, enables routine and efficient processing of underwater images into 3D models that facilitate the exploitation and analysis of underwater imagery. When vehicle navigation data are available, Matisse allows for seamless integration of such data to produce 3D reconstructions that are georeferenced and properly scaled. The software includes pre-processing tools to extract images from videos and to make corrections for color and uneven lighting. Four datasets of different 3D scenes are provided for demonstration. They include both input images and navigation and associated 3D models generated with Matisse. The datasets, captured under different survey geometries, lead to 3D models of different sizes and demonstrate the capabilities of the software. The software suite also includes a 3D scene analysis tool, 3DMetrics, which can be used to visualize 3D scenes, incorporate elevation terrain models (e.g., from high-resolution bathymetry data) and manage, extract, and export quantitative measurements for the 3D data analysis. Both software packages are publicly available.

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Section: Resulting 3d Modelmentioning

confidence: 99%

Underwater 3D Reconstruction from Video or Still Imagery: Matisse and 3DMetrics Processing and Exploitation Software

Arnaubec

Ferrera

Escartı́n³

et al. 2023

JMSE

View full text Add to dashboard Cite

show abstract

“…Ichimaru et al [101] proposed a technique to estimate all unknown parameters of the unified underwater SfM, such as the transformation of the camera and refraction interface and the shape of the underwater scene, using the extended beam-adjustment technique. Several types of constraints are used in optimization-based refactoring methods, depending on the capture settings, and an initialization procedure.…”

Section: Startmentioning

confidence: 99%

Overview of Underwater 3D Reconstruction Technology Based on Optical Images

Wang

Shen

et al. 2023

JMSE

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At present, 3D reconstruction technology is being gradually applied to underwater scenes and has become a hot research direction that is vital to human ocean exploration and development. Due to the rapid development of computer vision in recent years, optical image 3D reconstruction has become the mainstream method. Therefore, this paper focuses on optical image 3D reconstruction methods in the underwater environment. However, due to the wide application of sonar in underwater 3D reconstruction, this paper also introduces and summarizes the underwater 3D reconstruction based on acoustic image and optical–acoustic image fusion methods. First, this paper uses the Citespace software to visually analyze the existing literature of underwater images and intuitively analyze the hotspots and key research directions in this field. Second, the particularity of underwater environments compared with conventional systems is introduced. Two scientific problems are emphasized by engineering problems encountered in optical image reconstruction: underwater image degradation and the calibration of underwater cameras. Then, in the main part of this paper, we focus on the underwater 3D reconstruction methods based on optical images, acoustic images and optical–acoustic image fusion, reviewing the literature and classifying the existing solutions. Finally, potential advancements in this field in the future are considered.

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