The Raspberry Pi 5 is several times faster than previous models of the compact and cheap computer. For less than a couple hundred bucks, you can have a computer that can do many tasks that previously ...
Abstract: This paper presents a novel robust and accurate normal-assisted learning-based rigid point set registration approach, i.e., Deep Bi-directional Hybrid Mixture Registration (DeepBHMR), where ...
Abstract: Point cloud upsampling (PCU) aims to transform sparse and unevenly distributed point clouds into dense and uniform counterparts with intricate geometric details of real-world objects.
Abstract: To accurately and efficiently determine the operating state of transformers, based on the driving point admittance method, a trapezoidal equivalent network model for dual-windings ...
Abstract: LiDAR and camera are the most common used sensors to percept the road scenes in autonomous driving. Current methods tried to fuse the two complementary information to boost 3D object ...
Abstract: Existing airborne laser scanning (ALS) point cloud semantic segmentation approaches are limited by their overreliances on sufficient point-wise annotations that further confine their ...
Abstract: Raw face point clouds obtained from scanning are often incomplete, resulting in a loss of structural details and posing challenges for many tasks, such as facial surgery navigation, face ...
Abstract: The increasing applications of 3D point clouds require efficient compression techniques to achieve high-quality and low-delay services. However, the computational efficiency and ...
Abstract: The development of information and communication technology (ICT) in Indonesia is growing rapidly. This can be seen by the many applications and implementation of ICT in public organizations ...
Abstract: LiDAR-based point cloud segmentation is a significant and challenging task for 3D scene understanding. Recent voxel-based methods are often built on submanifold sparse residual calculation ...
Abstract: Existing point cloud registration models suffer from large performance loss in low-overlap scenarios, while the generalization ability of most models are weak. In this article, we design a ...
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