Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results

Understand

As real-scanned point clouds are mostly partial due to occlusions and viewpoints, reconstructing complete 3D shapes based on incomplete observations becomes a fundamental problem for computer vision.

• With a single incomplete point cloud, it becomes the partial point cloud completion problem.
• Given multiple different observations, 3D reconstruction can be addressed by performing partial-to-partial point cloud registration.
• Recently, a large-scale Multi-View Partial (MVP) point cloud dataset has been released, which consists of over 100,000 high-quality virtual-scanned partial point clouds.