Multiview Point Cloud Registration

Multiview point cloud registration aims to accurately align multiple 3D point cloud scans into a unified coordinate system, a crucial step in many robotics and computer vision applications. Recent research emphasizes incremental approaches, progressively registering scans to a growing model rather than relying on computationally expensive global optimization of all scans simultaneously. These methods often incorporate techniques like efficient scan selection strategies, robust outlier rejection (e.g., through graph-based methods or neural network-based overlap estimation), and iterative refinement processes such as bundle adjustment to minimize accumulated errors. The improved accuracy and efficiency of these techniques are driving advancements in 3D scene reconstruction, object modeling, and autonomous navigation.