Abstract Three-dimensional (3D) modeling is an important topic in computer graphics and
computer vision. In recent years, the introduction of consumer-grade depth cameras has …

Jointly using the data of visual and inertial sensors to achieve higher accuracy and
robustness is a problem of high computational complexity. In this work, this paper presents a …

Accurate segmentation of 3D reconstruction using multiple sensors is one of the most
important fundamental steps in autopilot and robot navigation. However, in the case of …

The multiscale noise in the 3D point cloud data of rock surfaces which collected by 3D
scanners has a significant influence on the exploration of rock surface morphology. To this …

Digital Twin is an emerging technology at the forefront of Industry 4.0, with the ultimate goal
of combining the physical space and the virtual space. To date, the Digital Twin concept has …

In order to effectively smooth the noise in 3D point cloud without losing the detailed features
of the model, a new filtering algorithm based on surface variation factor segmentation is …

Aiming at its shortcomings of being difficult-to-move, low-efficiency modeling and high cost,
this paper proposes a handheld 3D reconstruction system based on closed-loop detection …

The truncated signed distance field (TSDF) has been applied as a fast, accurate, and flexible
geometric fusion method in 3D reconstruction of industrial products based on a hand-held …

RGB-D image mapping is an important tool in applications such as robotics, 3D
reconstruction, autonomous navigation, and augmented reality (AR). Efficient and reliable …

Dense real-time tracking and mapping from RGB-D images is an important tool for many
robotic applications, such as navigation and manipulation. The recently presented …