Geometrically Consistent Cost Aggregation for Efficient Multi-View Stereo Reconstruction

The core message of this paper is to propose a geometrically consistent cost aggregation scheme that leverages local geometric smoothness and surface normals to better utilize adjacent geometries, leading to improved multi-view stereo reconstruction performance.