In recent years, 3D point clouds have enjoyed a great popularity for representing both static
and dynamic 3D objects. When compared to 3D meshes, they offer the advantage of …

3D point cloud presentation has been widely used in computer vision, automatic driving,
augmented reality, smart cities and virtual reality. 3D point cloud compression method with …

Multi-camera schemes can effectively increase the perception range of vision systems
compared to single-camera schemes and are common in many optical applications …

Automatic vision-based picking in orchards and fields is a highly challenging task. The
orchard banana central stock, which is large in size, low in color contrast, and falls within a …

The state-of-the-art 2D-based dynamic point cloud (DPC) compression algorithm is the
video-based point cloud compression (V-PCC) developed by the Moving Pictures Experts …

Due to the enormous volume of point cloud data, transmitting and storing the data requires
large bandwidth and storage space. It could be a critical bottleneck, especially in tasks such …

Recently, 3D visual representation models such as light fields and point clouds are
becoming popular due to their capability to represent the real world in a more complete and …

Point cloud compression is critical to deploy 3D applications like autonomous driving.
However, LiDAR point clouds contain many disconnected regions, where redundant bits for …

As 3D scanning devices and depth sensors advance, dynamic point clouds have attracted
increasing attention as a format for 3D objects in motion, with applications in various fields …

Laser scan data are popularly adopted to capture the conditions of existing buildings for as-
is BIM reconstruction, also known as scan-to-BIM. Down-sampling of massive laser scan …