Three-dimensional (3D) point cloud analysis has become one of the attractive subjects in
realistic imaging and machine visions due to its simplicity, flexibility and powerful capacity of …

Despite the availability of 3D digital models, 2D floor plans remain extensively used for
quality inspection and maintenance as they offer firsthand information. While laser scanners …

Estimating the 6DOF pose of objects is an important function in many applications, such as
robot manipulation or augmented reality. However, accurate and fast pose estimation from …

Instance segmentation is an important pre-processing task in numerous real-world
applications, such as robotics, autonomous vehicles, and human–computer interaction …

Current state-of-the-art pose estimation methods are almost launched on segmented RGB-D
images. However, these methods may not apply to more general industrial parts due to a …

Pose estimation that locates objects in a bin is necessary for a robotic bin picking system.
Although many algorithms have shown high performance in pose estimation, most …

This paper proposes a 3D object recognition method for non-coloured point clouds using
point features. The method is intended for application scenarios such as Inspection …

Abstract Three-dimensional (3D) point cloud analysis has become one of the attractive
subjects in realistic imaging and machine visions due to its simplicity, flexibility and powerful …

At present, PPF-based point cloud recognition algorithms can perform better matching than
competitors and be verified in the case of severe occlusion and stacking. However, including …

Most vision-based 3D pose estimation approaches typically rely on knowledge of object's
3D model, depth measurements, and often require time-consuming iterative refinement to …