Ocular Prosthesis Point Cloud Dataset for Patient-Specific Surface Modeling

This record contains a de-identified ocular prosthesis point cloud dataset used in the study “Riemannian Feature-Based Point Cloud Learning for Patient-Specific Ocular Prosthesis Surface Modeling.” The dataset consists of processed three-dimensional point clouds of ocular prostheses collected in collaboration with a partner hospital. The data have been processed and de-identified for research use. In addition to the point cloud data, this record also provides the RFG-trained model records for each ocular prosthesis sample. These model records were obtained after training the Riemannian Feature Generator (RFG) and can be used to compute point-wise Riemannian metric features for the corresponding ocular prosthesis point clouds. They are provided to support reproducibility of the Riemannian feature extraction and local surface reconstruction experiments reported in the manuscript.