LIU Yang, ZHANG Guo-shan, HUANG Wei-jie, et al. Application of random fern encoding in 3D reconstruction[J]. 2017, 36(12): 157-160. DOI: 10.13873/J.1000-9787(2017)12-0157-04.
lack of effective relocalization strategy and cumulative error in Kinect Fusion algorithm
propose a 3 D reconstruction method based on random fern coding. The camera trajectory loop closures is detected by using the random fern encoding to reduce the accumulated error caused by long time reconstruction. By retrieval similarity key frames
relocate camera pose estimation after failure. By combining with Infini TAM
range of reconstruction are increased. A comparison experiment is carried out using the RGB-D SLAM dataset. Experimental results show that the proposed method can greatly increase reconstruction range
effectively relocate the camera pose after failure
and reduce accumulated error
which makes the 3 D reconstruction process more stable and obtains camera pose more accurately.
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references
Real-time 3D reconstruction at scale using voxel hashing [J] . Matthias Nie?ner,Michael Zollh?fer,Shahram Izadi,Marc Stamminger. ACM Transactions on Graphics (TOG) . 2013 (6)