… This registration is based on computer vision and 3D point cloud. Fusion of visual features
with 3D descriptors is used in order to identify corresponding points in two consecutive views. …

… In correspondences between 2D-3D data, we points cloud to 2D space based on … points
cloud. By aligning 3D col different locations, we can finally generate a indoor environment…

… points missing in the object point cloud. In this paper, we explore the multi-view fusion method
to resolve the incomplete point cloud … most objects in an indoor environment are along the …

… Furthermore, for well-constructed indoor environment, such hardware configuration is not …
point cloud registration problem and to enhance ICP efficiency, a parallel feature-based indoor …

… Once the global offset has been accounted for, we assume that input point cloud and target
point cloud may have arbitrary orientation and position, both, relative to each other and in …

… a sensorfusion method that can generate point clouds of uneven foggy indoor environments
using LiDAR and stereo thermal infrared cameras. We generate point clouds using stereo …

… (VR) and augmented reality environments due to their high-… dynamic objects or portions
of the environment (like an engineer … capture objects in an indoor environment. The method …

… of fusion methods have high versatility in various environments. Due to the stability and safety
of indoor environments… A direct visual navigation method using sparse depth point cloud of …

… the RGB-D SLAM operation in large indoor environments; the priori data can neglect the …
multisource data fusion SLAM has been developed for complex indoor environments, which …

… point cloud. Subsequently, we simplify the planar feature using quadtree segmentation based
on cluster fusion… structural components of an indoor environment. Some researchers have …