Microsoft MVP Philip Japikse discusses how ASP.NET Core Razor Pages in .NET 10 provides a streamlined, page-centric ...
Abstract: The LiDAR and photogrammetric point clouds fusion procedure for building extraction according to U-Net deep learning model segmentation is provided and tested. Firstly, an initial ...
VIRGINIA BEACH, Va. (WAVY) — The city of Virginia Beach held its annual count of the city’s homeless population Thursday morning as volunteers and city staff canvassed the city and counted people who ...
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VB point-in-time count of homeless population
The Melania movie looks like a box-office flop. What it means for Amazon. Student loan update: Hundreds of thousands may get automatic forgiveness I mocked the Saudi leader on YouTube - then my phone ...
While officials say it's difficult to predict whether they'll see an increase in numbers, they'll continue doing what they can to make sure everyone gets the help they need. Video shows attack on ...
Abstract: Point cloud completion concerns the inference of the completed geometries for real-scanned point clouds that are sparse and incomplete due to occlusion, noise, and viewpoint. Previous ...
Abstract: Large-scale place recognition based on point clouds remains a challenge due to the geometric transformations in the scene. Among many geometric transformations, rotation is particularly ...
When Windows breaks, it rarely gives you a warning. One update, one driver, or one setting change can derail your entire setup. Windows 11 Point-in-Time Restore is designed for moments like that. It’s ...
Abstract: The contours, one of the most significant human perceptual features, have a significant impact on point cloud processing. In urban scenes, contour extraction is quite challenging due to the ...
Abstract: Abstract—Point cloud segmentation faces significant challenges due to insufficient annotated samples, limiting its practical deployment in real-world scenarios. To address this, we introduce ...
Abstract: Point cloud completion is essential for restoring 3D geometric data lost due to occlusions or sensor limitations. Existing methods often rely on k-nearest neighbor(KNN)-based local feature ...
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