Underwater acoustic source localization and depth estimation are pivotal techniques in oceanographic research, maritime surveillance and environmental monitoring. These methods utilise the propagation ...

Beijing Zhongke Journal Publising Co. Ltd. Existing monocular depth estimation methods based on deep learning use RGB images as input and deeptrain models to learn the relationship between the RGB ...

Apple's Machine Learning Research wing has developed a foundational AI model "for zero-shot metric monocular depth estimation." Depth Pro enables high-speed generation of detailed 3D depth maps from a ...

Depth estimation and shape from focus (SFF) techniques remain at the forefront of computer vision research, addressing the challenge of recovering three-dimensional structural information from ...

Results of Turbid Underwater 3D Polarization Imaging. (a) Polarization binocular underwater robot and marine experimental scene. (b) Binocular imaging restoration results, depth estimation results and ...

In an image, estimating the distance between objects and the camera by using the blur in the images as clue, also known as depth from focus/defocus, is essential in computer vision. However, ...

The next wave of IT innovation will be powered by artificial intelligence and machine learning. We look at the ways companies can take advantage of it and how to get started. Read now One of the ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

Google DeepMind has released D4RT, a unified AI model for 4D scene reconstruction that runs 18 to 300 times faster than comparable methods, targeting robotics and AR applications.

Ars Technica has been separating the signal from the noise for over 25 years. With our unique combination of technical savvy and wide-ranging interest in the technological arts and sciences, Ars is ...