Eave tile reconstruction and duplication by image-based modeling

Abstract

We present a pipeline for eaves tiles geometry reconstruction from single binary image, which collected in their monotype album. This pipeline consists of shape from shading based spatial points reconstruction, featurepreserved point cloud smoothing for high quality models, and 3D printing techniques to obtain the duplication of eaves tiles. Compared with other reverse engineering methods, we reduce the high demand of original point cloud data in modeling, efficiently reconstruct the large number of eaves tiles, and by duplicating we reappear the lost culture relic face after thousands of years. We illustrate the performance of our pipeline on Qin Dynasty eaves tiles.