As 3D scanning devices and depth sensors mature, point clouds have attracted increasing
attention as a format for 3D object representation, with applications in various fields such as …

The maturity of depth sensors and laser scanning techniques has enabled the convenient
acquisition of 3D dynamic point clouds—one natural representation of 3D objects/scenes in …

Point cloud (PC) is a collection of discrete geometric samples of a physical object in 3D
space. A PC video consists of temporal frames evenly spaced in time, each containing a …

Due to unfavorable factors, such as environmental noise, reflection, and occlusion of a
scanned object, a point cloud obtained by structured light measurement equipment contains …

Monitoring plants growth dynamics requires continuously tracing their evolution over time.
When using point cloud data, such a process requires associating the individual organs …

In this letter, we introduce several algorithms for geometry inpainting of three-dimensional (3-
D) point clouds with large holes. The algorithms are exemplar based. Hole filling is …

In the field of practical applications for point cloud neural networks, besides precision, high
real-time performance and low resource utilization often hold significant importance …

Owing to imperfect scans, occlusions, low reflectance of the scanned surface, and packet
loss, there may be several incomplete regions in the 3D point cloud dataset. These missing …

With the development of 3D laser scanning techniques and depth sensors, 3D dynamic
point clouds have attracted increasing attention as a representation of 3D objects in motion …

Accurate 3-D models of human subjects are widely used in domains such as fashion design,
non-contact body biometrics, computer animation, gaming, AR/VR, to cite a few. For these …