Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...
We're announcing our newest additions to the Segment Anything Collection, SAM 3 and SAM 3D, which simplify video editing and ...
Three-dimensional object tracking and pose estimation represent a pivotal area of research in computer vision, with applications ranging from augmented reality to autonomous navigation and robotics.
Researchers developed a new 3D method that can be used to track fast-moving objects at unprecedented high speeds. The optical setup for their experiments is shown. WASHINGTON — Researchers have ...
Engineers have developed 3D printed devices that can track and store their own use -- without using batteries or electronics. Instead, this system uses a method called backscatter, through which a ...
An interesting research project out of MIT shows that it’s possible to embed machine-readable labels into 3D printed objects using nothing more than an FDM printer and filament that is transparent to ...
Flies are fast-reacting creatures and can sense movement quickly. Researchers have now used flies as their inspiration by developing an artificial insect inspired compound eye that can sense a moving ...
Researchers at the University of Washington have been developing a way for 3D-printed plastic objects to transmit data without the need for embedded batteries or electronics. Last year, they showed ...
With a lifetime of observing the world informing our perceptions, we’re all pretty good at inferring the overall shape of something we only see from the side, or for a brief moment. Computers, however ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Coinciding with the kickoff of the 2020 TensorFlow Developer Summit, ...
A newly created biologically inspired compound eye is helping scientists understand how insects use their compound eyes to sense an object and its trajectory with such speed. The compound eye could ...
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