THREE DIMENTIONAL RECONSTRUCTION OF LARGE CULTURAL HERITAGE OBJECTS BASED ON UAV VIDEO AND TLS DATA
- 1College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China
- 2Key Laboratory of Environmental Change & Natural Disaster of MOE, Beijing Normal University, Beijing 100875, China
- 3Satellite Surveying and Mapping Application Center, NASG, Beijing, 101300, China
- 4Collage of Information Engineering, China University of Geosciences, Wuhan 430074, China
- 5School of Environment Science & Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Keywords: 3D reconstruction, cultural heritage, video image sequences, terrestrial laser scanning, unmanned aerial vehicle
Abstract. This paper investigates the synergetic use of unmanned aerial vehicle (UAV) and terrestrial laser scanner (TLS) in 3D reconstruction of cultural heritage objects. Rather than capturing still images, the UAV that equips a consumer digital camera is used to collect dynamic videos to overcome its limited endurance capacity. Then, a set of 3D point-cloud is generated from video image sequences using the automated structure-from-motion (SfM) and patch-based multi-view stereo (PMVS) methods. The TLS is used to collect the information that beyond the reachability of UAV imaging e.g., partial building facades. A coarse to fine method is introduced to integrate the two sets of point clouds UAV image-reconstruction and TLS scanning for completed 3D reconstruction. For increased reliability, a variant of ICP algorithm is introduced using local terrain invariant regions in the combined designation. The experimental study is conducted in the Tulou culture heritage building in Fujian province, China, which is focused on one of the TuLou clusters built several hundred years ago. Results show a digital 3D model of the Tulou cluster with complete coverage and textural information. This paper demonstrates the usability of the proposed method for efficient 3D reconstruction of heritage object based on UAV video and TLS data.