Abstract: High-quality point clouds play a critical role in providing a satisfying visual experience in immersive media. Consequently, numerous methods have been developed for point cloud quality ...

Introduction: Three-dimensional (3D) point clouds acquired by LiDAR are fundamental for applications such as autonomous navigation, mobile robotics, infrastructure inspection, and cultural-heritage ...

ViBIM Revolutionizes Scan to BIM Services with Expertise and Efficiency HA NOI, VIETNAM, August 28, 2025 /EINPresswire.com/ -- ViBIM, a leading provider of Scan to ...

I ran the Segment a Point Cloud tutorial on the official website. But the expected results are inconsistent with the tutorial: This is the expected output from the ...

Abstract: Point cloud Upsampling (PU) improves the performance in downstream tasks by enriching the representation of raw point clouds. Most learning-based point cloud upsampling methods follow a ...

Point cloud-based 3D object detection is a key technology in autonomous driving and mobile robot perception systems. However, the sparsity and irregularity of point cloud data result in poor ...

With the continuous progress of information acquisition technology, the volume of LiDAR point cloud data is also expanding rapidly, which greatly hinders the subsequent point cloud processing and ...

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