This study evaluates metrics for tasks such as classification, regression, clustering, correlation analysis, statistical tests, segmentation, and image-to-image (I2I) translation in medical imaging ...

A neural field network can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples.

Following the Kickstarter launch of a personal holographic image display, the Looking Glass Factory has announced a new cloud-based service capable of adding depth to any 2D photo to create a 3D ...

Artificial neural networks have been combined with microscopy to visualize the 3D structure of biological cells. This could lead to solutions for difficult imaging problems, such as the multiple ...

Exploit image geometry to relay different views of a pictured scene Calibrate the camera from different image observations Detect people and objects in images using machine learning techniques ...

The “human-robot interface” or HRI provides multiple assistance services in a variety of real-time applications. In robotic devices, the notion of object classification by digital visualisation is ...

What is this book about? With this hands-on guide to 3D deep learning, developers working with 3D computer vision will be able to put their knowledge to work and get up and running in no time.

Scientists at Los Alamos and international partners have created the first 3-D images of a special type of RNA molecule that is critical for stem cell programming and known as the "dark matter" of ...