Underwater optical imaging plays an irreplaceable role in fields such as marine exploration, resource development, environmental monitoring, and underwater archaeology. However in the underwater environment, light is affected by scattering and absorption, which not only leads to blurred image details and reduced contrast, but also severely limits the imaging range, and further makes it difficult for traditional technologies to acquire scene depth information. Since underwater scattered light inherently exhibits partial polarization characteristics, polarization technology can separate the target light and reflected light by analyzing the polarization state of light, thereby effectively suppressing the scattering effect of turbid water. Nevertheless, existing polarization underwater imaging methods mostly focus on "enhancing image clarity" and neglect the hidden depth cues in polarization images. Although binocular imaging is suitable for underwater 3D perception due to its simple hardware and low energy consumption, in turbid water, objects with low texture are prone to failure in feature point matching, resulting in wrong depth information. To address this, this study focus on the depth cues contained in underwater polarization imaging, integrates polarization features into the binocular imaging framework, and improves the accuracy and stability of depth estimation in turbid water, filling the research gap of polarization in underwater three-dimensional imaging utilizing polarization imaging technology.

Discover how a groundbreaking new model is revolutionizing our understanding of GFRP bars' durability in marine environments. Learn about the innovative Weibull relaxation model that accurately predicts moisture uptake, offering crucial insights for long-term structural integrity. Dive into the latest findings published in Engineering!

When millions of tiny organisms decompose dead plant material, they keep the global carbon cycle going. Together with colleagues from the Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN) and Justus Liebig University (JLU) in Giessen, researchers from Goethe University Frankfurt have developed a new method to identify the molecular tools that different species use for this process. Their analysis of over 18,000 species brought surprising discoveries to light: In addition to fungi and bacteria, some invertebrates also evidently have a whole range of such tools at their disposal, while the one or other fungus lost them when it became parasitic.

Concerned about the ability of artificial intelligence models trained on data from urban demographics to make the right medical diagnoses for rural populations, West Virginia University computer scientists have developed several AI models that can identify signs of heart failure in patients from Appalachia.