Abstract: Downsampling is a crucial task for processing large scale and/or dense point clouds with limited resources. Owing to the development of deep learning, approaches of task-oriented point cloud ...

Abstract: Terrain information is a crucial factor affecting the performance of unmanned aerial vehicle (UAV) networks. As a tutorial, this article provides a unique perspective on the completeness of ...

Abstract: Existing projection-related point cloud quality assessment (PCQA) methods commonly adopt a straightforward but content-independent projection strategy, which selects a certain number of ...

Abstract: The self-attention (SA) network revisits the essence of data and has achieved remarkable results in text processing and image analysis. SA is conceptualized as a set operator that is ...

Abstract: With the rapid advancement of three-dimensional (3D) sensing technology, point cloud has emerged as one of the most important approaches for representing 3D data. However, quality ...

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.

The past two years have brought a lot of new computer-security deployments at CERN. Spurred on by the 2023 cybersecurity audit, a lot has already been achieved and 2026 should see the successful ...

Abstract: LiDAR and photogrammetry are active and passive remote sensing techniques for point cloud acquisition, respectively, offering complementary advantages and heterogeneous. Due to the ...

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: Unsupervised domain adaptation (UDA) segmentation aims to leverage labeled source data to make accurate predictions on unlabeled target data. The key is to make the segmentation network ...

Abstract: As a fundamental problem in photogrammetry and remote sensing, terrestrial laser scanner point cloud matching aims to seek a correspondence set that can match two partially overlapping point ...