Hitem3D is focusing on 3D printing for its image-to-3D AI system. Image-to-3D systems have been around for about a year, with massive improvements in quality taking place. The idea is to present a 2D ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping reflections, highlights, and other effects consistent across different viewing angles. Here ...

Abstract: Accurate segmentation of 3D scenes is essential for computer vision, robotic perception, and spatial modeling. This study introduces a probabilistic segmentation framework leveraging Monte ...

Here's the assembly instructions for my 3D printed Arduino / Python controlled animatronic mouth! #animatronics #arduino #3dprinting #python #robotics #makerproject #diyrobot #mechanism ...

Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT data). In ...

Apple continues to focus on AI-powered image modification, with new studies detailing evaluation frameworks and an AI model that can turn 2D images into 3D scenes in a second. Here's what the ...

Add a description, image, and links to the image-processing-api-python topic page so that developers can more easily learn about it.

This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...