The nonuniform distribution of points in a point cloud and their abundant attribute
information (such as colour, reflectance, and normal) result in the generation of massive …

Textile pilling assessment is critical for textile quality control. We collect thousands of 3D
point cloud images in the actual test environment of textiles and organize and label them as …

Since the geometry constitutes most of the bitrate and is used for attribute coding, it is crucial
for geometry-based point cloud compression (G-PCC). However, the current research …

Previously, our attention was directed toward techniques related to point cloud compression,
encompassing transformation, quantization, entropy coding, and others. Within this section …

To improve the reconstructed point cloud after adaptive geometry quantization in geometry-
based point cloud compression, a least squares plane (LSP) projection-based up-sampling …

三维点云为物理世界精细数字化提供了高精度的三维表达方式, 广泛应用于三维建模, 智慧城市,
自主导航系统, 增**现实等领域. 然而点云的数据海量, 非结构化, 密度不均等特点给点云的存储 …

Efficient 3D point cloud compression plays critical role in immersive multimedia presentation
and autonomous driving. The temporal redundancy between consecutive point cloud frames …

Spatial scalability is an important functionality for point cloud compression. The current
design of geometry reconstruction for spatial scalability applies the points at the center of …

Spatial scalability is a critical feature in geometrybased point cloud compression (G-PCC).
The current design of geometry reconstructions for spatial scalability applies points in fixed …

This application provides a method for selecting a neighbor point of a current point in a point
cloud. The method includes: determining, from point cloud data, a target region where the …