SAN FRANCISCO--(BUSINESS WIRE)--OSARO®, a global leader in machine-learning-enabled robotics for high-volume fulfillment centers, has secured a patent for ‘Computer-Automated Robot Grasp Depth ...
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 ...
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, ...
Apple's AI research team has released a model called Depth Pro that significantly advances the way machines perceive depth. It can accurately recognize the depth of objects with fine details such as ...
Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...