Results 11 to 20 of about 40,646 (281)
Sensors, 2021 As one of the key requirements for underwater exploration, underwater depth map estimation is of great importance in underwater vision research. Although significant progress has been achieved in the fields of image-to-image translation and depth map ...
Qi Zhao +3 more
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Journal of Marine Science and Engineering, 2021 When underwater vehicles work, underwater images are often absorbed by light and scattered and diffused by floating objects, which leads to the degradation of underwater images.
Kai Hu +5 more
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Towards Realistic Underwater Dataset Generation and Color Restorationā±
Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing, 2022 Recovery of true color from underwater images is an ill-posed problem. This is because the wide-band attenuation coefficients for the RGB color channels depend on object range, reflectance, etc. which are difficult to model. Also, there is backscattering due to suspended particles in water.
Neham Jain +2 more
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Underwater Image Restoration via Contrastive Learning and a Real-World Dataset
Remote Sensing, 2022 Underwater image restoration is of significant importance in unveiling the underwater world. Numerous techniques and algorithms have been developed in recent decades. However, due to fundamental difficulties associated with imaging/sensing, lighting, and
Junlin Han +9 more
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Image Semantic Segmentation of Underwater Garbage with Modified U-Net Architecture Model
Sensors, 2022 Autonomous underwater garbage grasping and collection pose a great challenge to underwater robots. To assist underwater robots in locating and recognizing underwater garbage objects efficiently, a modified U-Net-based architecture consisting of a deeper ...
Lifu Wei +3 more
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Underwater Camouflage Object Detection Dataset
, 2023 We have made a dataset of camouflage object detection mainly for complex seabed scenes, and named it UnderWater RGB&Sonar,or UW-RS for short. The UW-RS dataset contains a total of 1972 image data. The dataset mainly consists of two parts, namely underwater optical data part (UW-R dataset) and underwater sonar data part (UW-S dataset).
Dong, Feng, Zhu, Jinchao
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Underwater inspection and intervention dataset
, 2021 This paper presents a novel dataset for the development of visual navigation and simultaneous localisation and mapping (SLAM) algorithms as well as for underwater intervention tasks. It differs from existing datasets as it contains ground truth for the vehicle's position captured by an underwater motion tracking system.
Luczynski, Tomasz +7 more
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Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks [PDF]
, 2020 Ā© The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Hopkinson, B. M., King, A. C., Owen, D. P., Johnson-Roberson, M., Long, M. H., & Bhandarkar, S.
Bhandarkar, Suchendra M. +5 more
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Research on Underwater Complex Scene SLAM Algorithm Based on Image Enhancement
Sensors, 2022 Underwater images typically suffer from less explicit feature point information and more redundant information due to wild conditions. To solve these degradation problems, we propose the VINS-MONO algorithm to enhance the quality of the underwater image.
Renhan Wu, Yuzhuo Gao
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Underwater AUV Navigation Dataset in Natural Scenarios
Electronics, 2023 Autonomous underwater vehicles (AUVs) are extensively utilized in various autonomous underwater missions, encompassing ocean environment monitoring, underwater searching, and geological exploration. Owing to their profound underwater capabilities and robust autonomy, AUVs have emerged as indispensable instruments.
Can Wang +4 more
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