a common fixed point result for weakly increasing mappings satisfying generalized contractive type of zhang in ordered metric spaces are derived.

Descriptors play an important role in point cloud registration. The current state-of-the-art resorts to the high regression capability of deep learning. However, recent learning-based descriptors require different levels annotation and selection patches, which make model hard migrate new scenarios. In this work, we learn local registration for clouds a self-supervised manner. each iteration tra...