A binocular vision-based underwater object size measurement paradigm: Calibration-Detection-Measurement (C-D-M)

Zhou, Yaqin; Yu, Qian; Yu, Dabing; Yu, Zhihong; Liu, Yan

doi:10.1016/j.measurement.2023.112997

Cited by 7 publications

(2 citation statements)

References 44 publications

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“…A comparison between the calibration results for land and underwater water reveals that the most important parameter is the focal length. Moreover, in the literature [31], the largest difference between the camera calibration results after considering the multilayer refraction of underwater light and the calibration results obtained by using Zhang's calibration method is also the focal length. Therefore, the focal length is the key factor for improving binocular underwater ranging.…”

Section: Modified Model For Underwater Imagingmentioning

confidence: 99%

Study of Underwater Large-Target Localization Based on Binocular Camera and Laser Rangefinder

Xu,

Zheng,

Tian

et al. 2024

JMSE

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Currently, for underwater close-range large-target localization, visual localization techniques fail since large targets completely occupy the camera’s field of view at ultraclose ranges. To address the issue, a multi-stage optical localization method combining a binocular camera and a single-point laser rangefinder is proposed in this paper. The proposed method comprises three parts. First, the imaging model of the underwater camera is modified, and a laser rangefinder is used to further correct the underwater calibration results of the binocular camera. Second, YOLOv8 is applied to recognize the targets to prepare for target localization. Third, extrinsic calibration of the binocular camera and laser rangefinder is performed, and a Kalman filter is employed to fuse the target position information measured by the binocular camera and laser rangefinder. The experimental results show that, compared with using a binocular camera alone, the proposed method can accurately and stably locate the target at close ranges with an average error of only 2.27 cm, without the risk of localization failure, and reduces binocular localization error by 90.57%.

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Section: Modified Model For Underwater Imagingmentioning

confidence: 99%

Study of Underwater Large-Target Localization Based on Binocular Camera and Laser Rangefinder

Xu,

Zheng,

Tian

et al. 2024

JMSE

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“…Zhou et al [ 23 ] presented a description of the problems related to metrology in the underwater environment. The importance of calibrating the stereo pair underwater is emphasized, taking into account the refraction problems related to the medium.…”

Section: Related Workmentioning

confidence: 99%

A Novel 3D Reconstruction Sensor Using a Diving Lamp and a Camera for Underwater Cave Exploration

Massone,

Druon,

Triboulet

2024

Sensors

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Aquifer karstic structures, due to their complex nature, present significant challenges in accurately mapping their intricate features. Traditional methods often rely on invasive techniques or sophisticated equipment, limiting accessibility and feasibility. In this paper, a new approach is proposed for a non-invasive, low-cost 3D reconstruction using a camera that observes the light projection of a simple diving lamp. The method capitalizes on the principles of structured light, leveraging the projection of light contours onto the karstic surfaces. By capturing the resultant light patterns with a camera, three-dimensional representations of the structures are reconstructed. The simplicity and portability of the equipment required make this method highly versatile, enabling deployment in diverse underwater environments. This approach is validated through extensive field experiments conducted in various aquifer karstic settings. The results demonstrate the efficacy of this method in accurately delineating intricate karstic features with remarkable detail and resolution. Furthermore, the non-destructive nature of this technique minimizes disturbance to delicate aquatic ecosystems while providing valuable insights into the subterranean landscape. This innovative methodology not only offers a cost-effective and non-invasive means of mapping aquifer karstic structures but also opens avenues for comprehensive environmental monitoring and resource management. Its potential applications span hydrogeological studies, environmental conservation efforts, and sustainable water resource management practices in karstic terrains worldwide.

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A binocular vision method for precise hole recognition in satellite assembly systems

Wang,

Li,

Zhang

et al. 2023

Measurement

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A binocular vision-based underwater object size measurement paradigm: Calibration-Detection-Measurement (C-D-M)

Cited by 7 publications

References 44 publications

Study of Underwater Large-Target Localization Based on Binocular Camera and Laser Rangefinder

Study of Underwater Large-Target Localization Based on Binocular Camera and Laser Rangefinder

A Novel 3D Reconstruction Sensor Using a Diving Lamp and a Camera for Underwater Cave Exploration

A binocular vision method for precise hole recognition in satellite assembly systems

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