Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
ST. PETERSBURG, Fla., Dec. 19, 2025 /PRNewswire/ -- 3D Cloud today announced it has been named the Furniture Today 2025 Reader Rankings Winner for 3D Product Visualization and Imaging Company, and was ...
Introduction: Three-dimensional (3D) point clouds acquired by LiDAR are fundamental for applications such as autonomous navigation, mobile robotics, infrastructure inspection, and cultural-heritage ...
Abstract: The evolution of 3D visualization techniques has fundamentally transformed how we interact with digital content. At the forefront of this change is point cloud technology, offering an ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
Microsoft announced two new Windows 11 recovery features today at the Ignite developer conference, called Cloud Rebuild and Point-in-Time Restore (PITR), that aim to reduce downtime and make it easier ...
Thank you for open-sourcing this fantastic 3D reconstruction tool. I've encountered a strange phenomenon while visualizing the point cloud using Rerun. I noticed that the colors of the point cloud ...
See Jupiter's “frosted cupcake” clouds in this 3D rendering created using data from NASA's Juno mission. It's the first time images captured by the visible-light camera aboard the spacecraft, called ...
Travel back 390 million years after the big bang to the ancient Maisie's Galaxy in this stunning 3D visualization that showcases 5000 galaxies captured by the James Webb Space Telescope. It was ...
On Tuesday, Tencent released HunyuanWorld-Voyager, a new open-weights AI model that generates 3D-consistent video sequences from a single image, allowing users to pilot a camera path to “explore” ...
A dual-task segmentation network based on multi-head hierarchical attention for 3D plant point cloud
Introduction: The development of automated high-throughput plant phenotyping systems with non-destructive characteristics fundamentally relies on achieving accurate segmentation of botanical ...
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