  Object reconstruction is one of the main problems in cultural heritage
preservation. This problem is due to lack of data in documentation. Thus in
this research we presented a method of 3D reconstruction using close-range
photogrammetry. We collected 1319 photos from five temples in Yogyakarta. Using
A-KAZE algorithm, keypoints of each image were obtained. Then we employed LIOP
to create feature descriptor from it. After performing feature matching, L1RA
was utilized to create sparse point clouds. In order to generate the geometry
shape, MVS was used. Finally, FSSR and Large Scale Texturing were employed to
deal with the surface and texture of the object. The quality of the
reconstructed 3D model was measured by comparing the 3D images of the model
with the original photos utilizing SSIM. The results showed that in terms of
quality, our method was on par with other commercial method such as
PhotoModeler and PhotoScan.
