shows the results from the CMVS reconstruction. The UAV dataset had derived a point cloud with clear structures of the whole temple. Point clouds derived from the ground photos have similar results: some regions are lacking of details; background areas are distributed in an irregular form. In order to cover the whole temple, Nikon D3 camera with a wide angle lens only needs half number of photos than the Canon powershot, which shorten the processing time dramatically. Generated vertices from both datasets have massive sizes: point cloud derived from the Canon dataset is two times larger than the point cloud which derived from the Nikon dataset. The extra vertices generated from the Canon dataset has already exceeded the needs of creating detailed models. However, these two point clouds have more detailed information than the UAV point cloud. As shown in Figure 68, the model from Nikon D3 dataset contains more detailed structures of the blocks.