Adaptive Nonrigid Inpainting of Three-Dimensional Point Cloud Geometry.

In this letter, we introduce several algorithms for geometry inpainting of three-dimensional (3-D) point clouds with large holes. The algorithms are exemplar based. Hole filling is performed iteratively using templates near the hole boundary to find the best matching regions elsewhere in the cloud, from where existing points are transferred to the hole. We propose two improvements over the previous work on exemplar-based hole filling. The first one is adaptive template size selection in each iteration, which simultaneously leads to higher accuracy and lower execution time. The second improvement is a nonrigid transformation to better align the candidate set of points with the template before the point transfer, which leads to even higher accuracy. We demonstrate the algorithm's ability to fill holes that are difficult or impossible to fill by existing methods. [ABSTRACT FROM AUTHOR]